9

文部科学省ナノテクノロジープラットフォーム

第19回ナノテクノロジー
総合シンポジウム
JAPAN NAN

2021

“Platforms strengthening material innovation force in a new era”

Proceedings
Date: December 11th (Fri), 2020
Venue: Tokyo Big Sight, Conference Tower(Tokyo)※OnlineSponsored by
Nanotechnology Platform by the Ministry of Education, Culture, Sports,
Science and Technology(MEXT)
Center for Nanotechnology Platform, National Institute for Materials
Science (NIMS)

The Institutions, participating in the Nanotechnology Platform:
Hokkaido University, Chitose Institute of Science and Technology,
Tohoku University,University of Tsukuba,
National Institute for Materials Science,
National Institute of Advanced Industrial Science and Technology,
The University of Tokyo, Tokyo Institute of Technology,
Waseda University, Shinshu University,
National Institutes of Natural Sciences Institute for Molecular Science,
Nagoya University, Nagoya Institute of Technology,
Toyota Technological Institute, Kyoto University,
Japan Advanced Institute of Science and Technology,
Nara Institute of Science and Technology, Osaka University,
Japan Atomic Energy Agency,
National Institutes for Quantum and Radiological Science and Technology,
Hiroshima University, Yamaguchi University,Kagawa University,
Kyushu University,
Kitakyushu Foundation for the Advancement of Industry Science and Technology

文部科学省ナノテクノロジープラットフォーム

第19回ナノテクノロジー
総合シンポジウム
JAPAN NAN

2021

「マテリアル革新力強化のための次世代プラットフォーム」

講演予稿集
開催日：2020 年12 月11日（金）

※オンライン併用開催 LIVE会

場：東京ビッグサイト
会議棟１階レセプションホール（東京都江東区有明）

主催：文部科学省ナノテクノロジープラットフォーム
国立研究開発法人物質・材料研究機構ナノテクノロジー
プラットフォームセンター

文部科学省ナノテクノロジープラットフォーム参画機関：
北海道大学、千歳科学技術大学、東北大学、筑波大学、
物質・材料研究機構、産業技術総合研究所、東京大学、
東京工業大学、早稲田大学、信州大学、
自然科学研究機構分子科学研究所、名古屋大学、
名古屋工業大学、豊田工業大学、京都大学、
北陸先端科学技術大学院大学、
奈良先端科学技術大学院大学、大阪大学、
日本原子力研究開発機構、量子科学技術研究開発機構、
広島大学、山口大学、香川大学、九州大学、
北九州産業学術推進機構

1

6

December 11th (Fri.), 2020, Reception Hall
2020年12月11日（金） 会議棟１階レセプションホール

10:00-10:10【Opening Remarks/ 開会挨拶】
10:00-

10:05-

Kazuhito Hashimoto (President, National Institute for Materials Science, Japan)

橋本 和仁（物質・材料研究機構理事長）

Ministry of Education, Culture, Sports, Science and Technology

文部科学省

10:10-12:00【Session 1】
Form of new era platforms based on big data / データを基軸とした次世代プラットフォームのあり方

10:10-10:20【Message to new era platforms. / 次世代プラットフォームへのメッセージ】
Makoto Gonokami (The University of Tokyo)
五神 真（東京大学総長）

10:20-10:55【Special Lecture / 特別講演】
Maki Kawai (Institute for Molecular Science)

川合 眞紀（自然科学研究機構 分子科学研究所）“Strategy Towards the Realization of Society 5.0:
Strengthening Research Infrastructure and Development of Human Resources”「Society 5.0 の実現に向けて、人材育成および研究基盤の強化」

11:00-12:00【Overseas Invited Lectures / 海外招待講演】
11:00-

Lynn Rathbun (Cornell University, USA)“The (U.S) National Nanotechnology Coordinated Infrastructure (NNCI) and ACCELNET :Global Quantum Leap; Models for International Collaboration and Cooperation.”「米国における国際協調・協力モデル：NNCI と ACCELNET、量子技術の飛躍的進展における世界協力」
11:30-

Gian-Marco Rignanese (Université catholique de Louvain, Belgium)“OPTIMADE : a REST API for querying materials databases”「OPTIMADE : マテリアルデータベースを操る REST API の開発」

12:00 - 13:10

Lunch / 昼食

13:10-13:45【Plenary Lecture / 基調講演】
Nobuyuki Osakabe (Hitachi)

長我部 信行（株式会社日立製作所）“Transformation of Research Platform to create Future Society”「研究現場のトランスフォーメーションによる研究力強化と未来社会創造」

2

13:50-15:05【Session 2】
A Year After Coronavirus: Leave No R&D Behind / ニューノーマル時代の研究開発を考える
13:50-

Keisuke Takahashi (Hokkaido University)髙橋 啓介（北海道大学）“The Rise of Catalyst Informatics: Concepts and Applications”「触媒インフォマティクスの基本概念と実例」
14:15-

Toshiaki Taniike (Japan Advanced Institute of Science and Technology)

谷池 俊明（北陸先端科学技術大学院大学）“Data-driven materials science based on high-throughput experimentation”「ハイスループット実験を基盤としたデータ駆動型材料科学研究」
14:40-

Kazunori Arifuku (JEOL)

有福 和紀（日本電子株式会社）“Remotely utilization in the instrument for research (In Jobsite) :The current situation and the going forward”「研究機器（現場）における遠隔利用の現状と今後」

15:05 - 15:25

Coﬀee Break / 休憩

15:25-15:50【Session 3】
nanotech 2020 award lecture / nano tech大賞 2020 講演
Masato Masuda (TORAY)

増田 正人（東レ株式会社）“Innovative Conjugate Spinning Technology NANODESIGN ® ”「革新複合紡糸技術 NANODESIGN®」

15:55-17:10【Session 4】
Topics and future perspectives of nanotechnology platforms / ナノテクノロジープラットフォームの成果と将来展望
15:55-

Ministry of Education, Culture, Sports, Science and Technology

文部科学省“Digital transformation of materials research and development”「マテリアル研究開発の DX 化について」
16:10-

Takahisa Yamamoto (Nagoya University)

山本 剛久（名古屋大学）“Nano-scale analysis for development of materials”「マテリアル開発につながる微細構造解析技術」
16:30-

Ryuji Yokokawa (Kyoto University)

横川 隆司（京都大学）“MICROFLUIDIC DEVICES FABRICATED BY FOUNDRY SERVICE AND
THEIR APPLICATIONS TO LIFESCIENCE RESEARCHES”「受託代行サービスにより作製した微小流体デバイスとそのライフサイエンス研究への応用」
16:50-

Takaaki Mitsuhashi (Institute for Molecular Science)

三橋 隆章（分子科学研究所）“Structure Elucidation Support by the Crystalline Sponge Method”「結晶スポンジ法による構造解析支援」

17:10-17:15【Closing Remarks / 閉会挨拶】
Yasuo Koide (Chairperson of the Organizing Committee of JAPAN NANO 2021 /Director, Center for Nanotechnology Platform, National Institute for Materials Science, Japan)

小出康夫（JAPAN NANO 2021 組織委員長、物質・材料研究機構ナノテクノロジープラットフォームセンター長）

3

Contents / 目次

Session 1 : Form of new era platforms based on big data /データを基軸とした次世代プラットフォームのあり方
Message to new era platforms. / 次世代プラットフォームへのメッセージ
Makoto Gonokami (The University of Tokyo) ………………………………………………………………………… 11
五神 真（東京大学総長）

Special Lecture / 特別講演
“Strategy Towards the Realization of Society 5.0 :Strengthening Research Infrastructure and Development of Human Resources” …………………………… 12「Society 5.0 の実現に向けて、人材育成および研究基盤の強化」
Maki Kawai (Institute for Molecular Science)
川合 眞紀（自然科学研究機構 分子科学研究所）

Overseas Invited Lectures / 海外招待講演“The (U.S) National Nanotechnology Coordinated Infrastructure (NNCI) and ACCELNET :Global Quantum Leap; Models for International Collaboration and Cooperation.” ………………………… 14「米国における国際協調・協力モデル：NNCI と ACCELNET、量子技術の飛躍的進展における世界協力」
Lynn Rathbun (Cornell University, USA)“OPTIMADE : a REST API for querying materials databases” ……………………………………………………… 16「OPTIMADE : マテリアルデータベースを操る REST API の開発」
Gian-Marco Rignanese (Université catholique de Louvain, Belgium)

Plenary Lecture / 基調講演
“Transformation of Research Platform to create Future Society” …………………………………………………… 24「研究現場のトランスフォーメーションによる研究力強化と未来社会創造」
Nobuyuki Osakabe (Hitachi)
長我部 信行（株式会社日立製作所）

Session 2 : A Year After Coronavirus: Leave No R&D Behind /ニューノーマル時代の研究開発を考える“The Rise of Catalyst Informatics: Concepts and Applications” …………………………………………………… 30「触媒インフォマティクスの基本概念と実例」
Keisuke Takahashi (Hokkaido University)髙橋 啓介（北海道大学）

4

“Data-driven materials science based on high-throughput experimentation” ………………………………………… 32「ハイスループット実験を基盤としたデータ駆動型材料科学研究」
Toshiaki Taniike (Japan Advanced Institute of Science and Technology)
谷池 俊明（北陸先端科学技術大学院大学）“Remotely utilization in the instrument for research (In Jobsite) : The current situation and the going forward” …… 34「研究機器（現場）における遠隔利用の現状と今後」
Kazunori Arifuku (JEOL)
有福 和紀（日本電子株式会社）

Session 3 : nanotech 2020 award lecture / nano tech大賞 2020 講演“Innovative Conjugate Spinning Technology NANODESIGN® ” …………………………………………………… 40「革新複合紡糸技術 NANODESIGN®」
Masato Masuda (TORAY)
増田 正人（東レ株式会社）

Session 4 : Topics and future perspectives of nanotechnology platforms /ナノテクノロジープラットフォームの成果と将来展望“Digital transformation of materials research and development” …………………………………………………… 45「マテリアル研究開発の DX 化について」
Ministry of Education, Culture, Sports, Science and Technology
文部科学省“Nano-scale analysis for development of materials” ………………………………………………………………… 46「マテリアル開発につながる微細構造解析技術」
Takahisa Yamamoto (Nagoya University)
山本 剛久（名古屋大学）“MICROFLUIDIC DEVICES FABRICATED BY FOUNDRY SERVICE AND
THEIR APPLICATIONS TO LIFESCIENCE RESEARCHES” …………………………………………… 48「受託代行サービスにより作製した微小流体デバイスとそのライフサイエンス研究への応用」
Ryuji Yokokawa (Kyoto University)
横川 隆司（京都大学）“Structure Elucidation Support by the Crystalline Sponge Method” ………………………………………………… 50「結晶スポンジ法による構造解析支援」
Takaaki Mitsuhashi (Institute for Molecular Science)
三橋 隆章（分子科学研究所）

5

6

Session 1【Form of new era platforms based on big data / データを基軸とした次世代プラットフォームのあり方】

Session 1【Form of new era platforms based on big data /データを基軸とした次世代プラットフォームのあり方】

7

8

【Message to new era platforms. / 次世代プラットフォームへのメッセージ】
Makoto Gonokami (The University of Tokyo)
五神 真（東京大学総長）【Special Lecture / 特別講演】“Strategy Towards the Realization of Society 5.0 :Strengthening Research Infrastructure andDevelopment of Human Resources”「Society 5.0 の実現に向けて、人材育成および研究基盤の強化」

Maki Kawai (Institute for Molecular Science)
川合 眞紀（自然科学研究機構 分子科学研究所）【Overseas Invited Lectures / 海外招待講演】“The (U.S) National Nanotechnology CoordinatedInfrastructure (NNCI) and ACCELNET :Global Quantum Leap; Models forInternational Collaboration and Cooperation.”「米国における国際協調・協力モデル ：NNCIとACCELNET、量子技術の飛躍的進展における世界協力」

Lynn Rathbun (Cornell University, USA)“OPTIMADE : a REST API for querying materials databases”「OPTIMADE : マテリアルデータベースを操るREST APIの開発」

Gian-Marco Rignanese (Université catholique de Louvain, Belgium)

910Prof. GONOKAMI Makoto
President
Professor GONOKAMI Makoto became the 30th President of the University of Tokyo on April 1st, 2015, with a sixyear term. Prof. Gonokami was previously the Dean of the School of Science. He became a full professor in 1998
having joined UTokyo as an academic staff in 1983. He has held several appointments in UTokyo including thepositions of Vice President (2012-2014), Director of Photon Science Center (2008-2014), and the Director of Institutefor Photon Science and Technology (2013-2014). He is a member of the Science Council of Japan, and a Fellow of
the American Physical Society (2012) and Optical Society of America (2013).
Professor Gonokami is well-known in the field of photon science, and has established world leading photon research
centers in the School of Science and School of Engineering.

11Strategy Towards the Realization of Society 5.0:
Strengthening Research Infrastructure and Development of Human Resources
Society 5.0 の実現に向けて、人材育成および研究基盤の強化
1Maki Kawai

1
Institute for Molecular Science,
Myodaiji, Okazaki, Aichi 444-8585, Japan

Abstract
Materials Science has made a tremendous progress during last several decades. Triggered by theinvention of high Tc superconductors, a series of metal oxides representing strongly corelated electron
systems emerged. Synthetic chemistry has also developed during these decades. Synthesis based on“non-covalent bond formation” has greatly expanded by connecting molecules with non-covalentbonds for example via metal atoms. Technology of measurement has developed significantly as well.
Fundamentals to support the development of both material synthesis and technique for measuringfunction of matter have to be continuously supported and encouraged.
As a result of repeated reform charged, our traditional University system has changed. Researchresources are centralized to several research universities, while others emphasis their peculiar characteras their foci. In order to sustain the quality of research in Japan, utilization of the shared facility
system has to be further encouraged. Especially experience and knowledge integrated through NanoPlatform project is of great importance. For mature society of S & T, acquisition of existing data andto utilize towards further development is of crucial importance. Shared facility could play an importantrole for the data acquisition as well.
Japan is facing a serious decrease in population. We have to be prepared for the expecting decrease
which is crucial at present. Globalization is an indispensable measure, while preparation for
accepting none Japanese to majority of our society is imperfect. Covid-19 brought us some positiveeffect as to promote borderless environment between countries. We have to be open minded andprepare for providing equal opportunity to people coming from other countries. Job market will
become truly globalized.

12

<CV>
Director General, Institute for Molecular Science, Japan
Member, Science Council of Japan
Professor Emeritus, The University of Tokyo,
Honorary Scientist, RIKEN
Honorary Fellow, Royal Society of Chemistry
Fellow, American Physical Society
Degrees:B. Sc. 1975
M. Sc. 1977
Dr. Sc. 1980

Department of Chemistry, University of Tokyo
Graduate School of Science, University of Tokyo
Graduate School of Science, University of Tokyo

AwardsSaruhashi Award, for Woman Scientist (1996), Japanese Surface Science Society Award (2005), The Commendationfor Science and Technology by the MEXT (Research Category) (2008), The Chemical Society of Japan (CSJ) Award(2008), Mukai Award (2012), The IUPAC 2015 Distinguished Women in Chemistry / Chemical Engineering (2015),
Gerhard Ertl Lecture award, Fritz-Haber Institute der Max Plank Society (2015), AVS Medard W. Welch Award(2016), Humboldt Research Award (2017), Medal with Purple Ribbon (2017), Honorary Fellow, Royal Society ofChemistry (2019), L’Oreal-UNESCO Women in Science (2019), Japan Academy Prize (2020).
Professional Experience
1980-85 Postdoc period: Contract Researcher at RIKEN, JSPS Fellow at The University of Tokyo, Assistant,
Osaka Industrial Research Institute of MITI, Contract Researcher at Osaka Gas Co.,
1985-88 Researcher, Catalysis Lab., RIKEN
1988-91 TDK Professor, Tokyo Institute of Technology
1991-10 Chief Scientist, Director of Surface Chemistry Laboratory, RIKEN
2004-17 Professor, Department of Advanced Materials Science, The University of Tokyo
2010-15 Executive Director, RIKEN
2016 -- Director General, Institute for Molecular Science
2018-20 President, Chemical Society of Japan

13

The (U.S) National Nanotechnology Coordinated Infrastructure (NNCI) and
ACCELNET: Global Quantum Leap; Models for International Collaboration
and Cooperation.
米国における国際協調・協力モデル：
NNCI と ACCELNET、量子技術の飛躍的進展における世界協力
Lynn Rathbun, Ph.D.
Cornell Nanoscale Science and Technology Facility
Cornell University
Ithaca, NY
LCR2@cornell.edu

The National Nanotechnology Coordinated Infrastructure(NNCI, 2015-present) and its predecessor the National
Nanotechnology Infrastructure Network (NNIN, 2004-2015)
are the US counterparts to the Nanotechnology Platform Japan.
NNCI/NNIN and the Platform/NIMS have had highly
successful cooperative student programs since 2008. I will
describe the history, development, and future of these programs.
I am most appreciative of the long-term support of these
programs by NIMS management.
In addition, members of NNCI have been recently funded by
the National Science Foundation to form an international “network of networks”, ACCELNET:
Global Quantum Leap. This five-year program is focused on international cooperation andcollaboration in the area of quantum information devices and materials. The Nanotechnology
Platform Japan is one of our partners in this program along with several quantum networks in
Europe. The program will support cooperation and collaboration between quantum researchgroups and the international nanotechnology user facilities-with particular emphasis on training
and support for graduate students, post-docs, and young faculty. This will be accomplishedthrough international student exchanges, short courses, conferences, and workshops as well as
one to one faculty research collaborations. This program began Oct. 2020. Due to COVID-19,
initial activities will be virtual, hopefully transitioning to in-person training and exchanges in2022. We are open to suggestions from our network partners for effective activities and lookforward to your full participation.

14

Lynn Charles Rathbun, Ph.D.
Cornell University
250 Duffield Hall
Ithaca, NY 14853
607-254-4872
LCR2@cornell.edu
Lynn Rathbun is a member of the senior management team of the Cornell Nanoscale Science and Technology
Facility (CNF). In his capacity as Laboratory Manager he is responsible for daily management of one of themost advanced nanofabrication user facilities in the U.S. He has been at Cornell for over 40 years. He is mostproud of his contributions to research training for undergraduate students through our REU program and forthe international student training activities he has developed with Japan as well as several European countries.
Professional Preparation
1971
B.S. Physics
1973
M.S. Physics
1979
Ph.D Physics

The Ohio State University, Columbus Ohio
University of Illinois, Urbana-Champaign, Illinois
University of Illinois, Urbana-Champaign, Illinois

Appointments and Employment
1990-Present
Laboratory Manager, Cornell Nanoscale Facility, Cornell University
2016-2020

Assistant Director of User Program, PARADIM, an NSF MIP user facility at Cornell

2012-2015

Deputy Director, National Nanotechnology Infrastructure Network (NNIN), Cornell
University

1994-2012

Program Manager, National Nanotechnology Infrastructure Network (NNIN), Cornell
University

1985-1990

User Program Manager, Cornell Nanoscale Facility, Cornell University

1979-1985

Research Staff, National Research and Resource Facility for Submicron Structures/
National Nanofabrication Facility, Cornell University

15

OPTIMADE: a REST API for querying materials databases
OPTIMADE: マテリアルデータベースを操るREST APIの開発
Gian-Marco RIGNANESEUCLouvain, Institut de la Matièere Condensée et des Nanosciences (IMCN),
Chemin des Ètoiles 8, Louvain-la-Neuve 1348, Belgium

Abstract
The Open Databases Integration for Materials Design (OPTIMADE) consortium aims to develop acommon application programming interface (API) to make materials databases accessible andinteroperational. In this talk, I will outline the latest released specification that is supported by leading
databases such as AFLOW, the Materials Cloud, the Materials Project, NOMAD, OQMD, ... I will
illustrate the API through some examples on materials databases that have implemented and made the
API publicly available. I will discuss the challenges that were faced and the opportunities that it offers.
I. INTRODUCTION
In the last decades, a number of materials databases have become available online (see e.g. Ref. [1] foran extensive, yet inevitably incomplete, list). In many cases, these can be accessed via a graphical web
interface which targets a “low-throughput” human usage but that is not very well suited for a systematic“high-throughput” computational approach. In fact, in order to take full advantage of modern
data‑analytics techniques, it is essential that these databases also become accessible through anapplication programming interface (API) as it is already the case for some of them [2-5].
It would actually be even more benecial to have access to information originating from multiple
databases as they often cover different material families and properties. Nonetheless, retrieving datafrom multiple databases is difcult since the available APIs are different from one database to another.
II. OPTIMADE
In order to overcome these difficulties, the OPTIMADE API was developed by the participants of theworkshop “Open Databases Integration for Materials Design”, held at the Lorentz Center in Leiden,
Netherlands in October 2016, the CECAM in Lausanne, Switzerland in June 2018, June 2019, andJune 2020. It is designed so that it can be implemented without signicant changes to the establishedback-end code, and, furthermore, adopting the API is straightforward for the end user. The
OPTIMADE API is queried through URLs, and the response adheres to the JSON API specication[6].
The OPTIMADE specication version 1.0.0 was released on 1 July 2020. The latest stable version isfound in the master branch in the OPTIMADE GitHub repository [7]. The latest development version isfound in the develop branch of the same repository. The databases that support the OPTIMADE API
and the corresponding endpoints is published as an OPTIMADE Index Meta-Database [8].
The wider usage of the OPTIMADE API being a key goal for the consortium, two open libraries [9,10]
are currently available to help users of the OPTIMADE API. Both libraries offer tools that aid theimplementation of the API for materials databases, and the latter also contains tools to help a highthroughput tool compose queries.
In order to illustrate the differences between the current generation of APIs, I provide the queries thatneed to be used to request the records on the exemplar system of SiO2 for AFLOW, COD, and theMaterials Project, respectively:

16http://aflowlib.duke.edu/search/API/?species(Si,O),nspecies(2)http://www.crystallography.net/cod/result.php?formula=O2\%20Si
http://www.materialsproject.org/rest/v2/materials/SiO2/vasp/structure?API_KEY=YOUR_API_KEY
The three queries vary not only in format, but moreover differ in the fundamental philosophy behindthe specication of the number of elements and species. AFLOW returns all structures with both Si
and O present, COD returns those with 2 O and an Si, and Materials Project delivers systems containing
SiO2. The wide range of query formats that will deliver non-overlapping structures signicantly
complicates access to all available data for SiO2. The distinction between the requests, that are different
for each database, requires the user to become expert in many different APIs. This only again
re‑emphasises the need for a single well-designed and standardized API to access all materials
databases, which is provided by the OPTIMADE API.
In contrast, the OPTIMADE API provides a holistic tool to access information any compatible
materials database. Starting from the base URL that serves the OPTIMADE API (for example
http://example.com/optimade/), the exemplar case of SiO2 is accessed by appending
structures/?filter=chemical_formula_hill="SiO2"
The philosophy of the OPTIMADE query is to enable the structural formula to be specied in astraightforward and intuitive manner. A benet of the OPTIMADE API is that the structure of the
response is common to all materials databases. The responses differ only in the optional and database
specic information preceded by the database name.
III. SUMMARYThe OPTIMADE API offers full access to leading materials databases providing researchers with aneasy access to over 10,000,000 results for different materials. This opens new benchmarking
opportunities whilst reducing repetition of calculations between databases and offers a huge
opportunity for screening and machine learning studies. The ability of the OPTIMADE API to searchdatabases, expose links between databases, and deliver multiple results makes it well-positioned tosignicantly enhance the impact of preexisting data silos. This should empower researchers to scanthrough new and unexpected material families, and train models from all available data that canunderstand deep correlations.
The OPTIMADE API is exible and will be extended going forward. Proposed developments include
the addition of more material properties, experimental results, and extensions beyond electronic
structure calculations. The future development of APIs, including OPTIMADE, should herald an eraof effective use of data-analytics techniques in the materials science.
References[1] J. Hill et al., MRS Bulletin 41, 399-409 (2016).
[2] R.H. Taylor et al., Comput. Mater. Sci. 93, 178-192 (2014).
[3] S.P. Ong et al., Comput. Mater. Sci. 97, 209–215 (2015).
[4] F. Rose et al., Comput. Mater. Sci. 137, 362–370 (2017).
[5] L. Talirz et al., Sci. Data 7, 299 (2020).
[6] http://jsonapi.org[7] https://github.com/Materials-Consortia/[8] https://providers.optimade.org/ ; https://www.optimade.org/providers-dashboard/[9] https://github.com/Materials-Consortia/OPTiMaDe-Filter[10] https://github.com/Materials-Consortia/optimade-python-tools

17Gian-Marco RIGNANESE is Professor at the Ecole Polytechnique de Louvain(EPL) and Research Director at the F.R.S.-FNRS. He received his Engineering
degree from the Université catholique de Louvain in 1994 and Ph.D. in Applied
Sciences from the Université catholique de Louvain in 1998.
During his Ph.D., he also worked as a Software Development Consultant for the
PATP (Parallel Application Technology Project), collaboration between CRAYRESEARCH and Ecole Polytechnique Fédérale de Lausanne (EPFL) in thegroup of Prof. Roberto Car. He carried his postdoctoral research at the
University of California at Berkeley in the group of Prof. Steven Louie. In 2003,
he obtained a permanent position at the Université catholique de Louvain.
In 2019, he was named APS Fellow for original efforts developing free license software in the field of electronic
structure calculations, and high-throughput calculations in a broad range of materials types.
Gian-Marco RIGNANESE is especially active in high-throughput approaches collaborating to the Materials Project,computing: electronic and optical properties (bandstructure, band gap,…), vibrational properties (phonons, entropy,…), transport properties (effective masses, Seebeck coefficient,…).
Furthermore, he exploits machine learning to predict the properties of materials.
His group plays an active role in the development of different softwares (Abinit, Abipy, PyMatGen, FireWorks) andpseudopotentials through the PseudoDojo.

18

19

20

【Plenary Lecture / 基調講演】【Plenary Lecture / 基調講演】

21

22

“Transformation of Research Platform to create Future Society”「研究現場のトランスフォーメーションによる研究力強化と未来社会創造」

Nobuyuki Osakabe (Hitachi)
長我部 信行（株式会社日立製作所）

23

Transformation of Research Platform to create Future Society
研究現場のトランスフォーメーションによる研究力強化と未来社会創造
1,2

N. Osakabe

1

Hitachi, Ltd.
Ueno East Tower, 2-16-1, Higashi-Ueno, Taito-ku, Tokyo, 110-0015 Japan
2

Japan Science and Technology Agency
K’s Gobancho, 7, Gobancho, Chiyoda-ku, Tokyo 102-0076, JapanI. INTRODUCTION
There are strong concerns over the current capability in Science and Technology of Japan[1]. The
growth rate of the number of scientific and technological publications and citations are said to be notenough and getting less predominate among those countries growing rapidly. Nevertheless,
Nanotechnology is one of the area that Japan still has its leading position and also the very noticeabledomain in science[2]. To keep its leading position, transformation of research platform innanotechnology is mandatory for more productive research.
II. TRANSFORMATION OF RESEARCH
PLATFORM
There are many argument why Japanese material R&D andindustry has been in good position globally. One may thinkthat the education in this field has been very successful as
theoretical science and engineering to actually produce
materials are well balanced and each researcher has deep
scientific insight to develop new material of expected
properties. One may also argue that devoted work of
postdoctoral fellows and students enable the thoroughinvestigation of materials around targeted composition. But
these advantages has been becoming less dominant under
the current demographic situation and global
competitiveness. Thus, innovative approach to transformresearch methodology is required.
JST-Mirai Program Common Platform is one of those trials
to transform research platform. Some activities arepresented in the lecture together with the global benchmarking.

Fig. 1 Science Map 2016
Middle right red cluster shows nanotechnology .
Cited from reference[2].

III. SUMMARY
Recent research in JST-Mirai Program shows that the whole potential material space so far explored isonly a small portion of the total space, so that we still have plenty of uncovered area that may create
better future society. We should strongly promote to construct competitive material research platform
to fully utilize historically developed strength of this field.
References[1] MEXT, “White Paper on Science and Technology 2020”, (Nikkei Printing Inc., Tokyo, 2020).
[2] NISTEP, “Science Map 2016”, NISTEP REPORT 178 (2018).

24

Dr. Nobuyuki Osakabe is currently CSO of Smart Life Business Management Division of Hitachi, Ltd. He also serves
as Program Officer of JST-Mirai Program of Japan Science and Technology Agency. Prior to his current position hehad been working as CSO and CTO of Healthcare Business unit in Hitachi, Ltd. He is also active in promotion ofhealthcare industry and is currently a Vice Chairman of Forum for Innovative Regenerative Medicine(FIRM).
Osakabe had been General Manager of Advanced Research Laboratory and Central Research Laboratory of Hitachi,Ltd. for 10 years, managing Basic Research and R&D closely related the business. Osakabe joined Hitachi in 1980
as a researcher specializing in holography electron interferometry, working with the late Hitachi Fellow, Dr.
TONOMURA Akira. Verification of Aharonov-Bohm effect has been their representative achievement. He
succeeded Tonomura as Acting Principle Investigator of the FIRST Project, which is designed for the top 30 scientists
in Japan. Osakabe also serves on 7 committees of the MEXT, METI, and Cabinet Office of Japanese Government.

25

26

Session 2【A Year After Coronavirus: Leave No R&D Behind / ニューノーマル時代の研究開発を考える】

Session 2【A Year After Coronavirus : Leave No R&D Behind /ニューノーマル時代の研究開発を考える】

27

28

“The Rise of Catalyst Informatics : Concepts and Applications”「触媒インフォマティクスの基本概念と実例」

Keisuke Takahashi (Hokkaido University)髙橋 啓介（北海道大学）“Date-driven materials sciencebased on high-throughput experimentation”「ハイスループット実験を基盤としたデータ駆動型材料科学研究」

Toshiaki Taniike (Japan Advanced Institute of Science and Technology)
谷池 俊明（北陸先端科学技術大学院大学）“Remotely utilization in the instrument for research (In Jobsite) :The current situation and the going forward”「研究機器（現場）における遠隔利用の現状と今後」

Kazunori Arifuku (JEOL)
有福 和紀（日本電子株式会社）

29

The Rise of Catalyst Informatics: Concepts and Applications
触媒インフォマティクスの基本概念と実例
1
1

K. Takahashi

Department of Chemistry, Hokkaido University, Sapporo 060-8510, Japan

30

31

DATA-DRIVEN MATERIALS SCIENCE
BASED ON HIGH-THROUGHPUT EXPERIMENTATION
ハイスループット実験を基盤としたデータ駆動型材料科学研究
1
1

T. Taniike

Japan Advanced Institute of Science and Technology
1-1 Asahidai, Nomi, Ishikawa 923-1292, Japan

Abstract
High-throughput experimentation (HTE) means to implement experiments in a highly automated andparallelized fashion. It is powerful in the field of materials science, where combining different atoms
and molecules is a basic strategy for desired structures and properties. It also plays a pivotal role inmaterials informatics (MI), as materials data that are sufficient in size, distribution, and consistency(i.e. appropriate for machine learning) are often not present. Here, I deliver our recent efforts to exploit
HTE for data-driven materials science.
I. INTRODUCTION
An effort to improve the throughput of experimental research starts from identification of rate-limiting
steps from a set of relevant processes (e.g. synthesis, purification, property evaluation). An efficient
protocol or instrument is introduced to resolve the rate-limiting factors. Such “KAIZEN” is continued
while balancing with cost performance and a tradeoff between the accuracy and the throughput. Ourgroup recently developed experimental protocols/instruments for HTE and applied them to the field ofpolymer and catalysis1–4.
II. POLYMER STABILIZATION1
A potential solution for the plastic pollution problem is to limit the variety of used plastics and to
maximize their reuse/recycle. For this, degradation of the plastics needs to be minimized by means ofnovel stabilizer combinations. However, such research has been hardly feasible due to a low throughput
of polymer lifetime measurements and the problem of combinatorial explosion. We developed a highthroughput chemiluminescence imaging instrument that enables simultaneous lifetime determinationfor 100 samples in thermo-oxidative degradation. Using the said instrument, stabilizer combinations
were successfully explored for polypropylene (PP). The research scheme is shown in Fig. 1. Briefly,
10 stabilizers were selected from a stabilizer library, and they were melt-mixed with PP at a fixed
content. The performance of different combinations was determined based on the chemiluminescenceimaging, and combinations were evolved through a genetic algorithm so as to elongate the lifetime of
PP. The evolution over 6 generations produced the data corresponding to 5.5 years, which were used
to extract rules of designing stabilizer combinations.

Fig. 1. Machine learning-aided stabilization of polymer.

32

III. CATALYST INFORMATICS FOR OXIDATIVE COUPLING OF METHANE3
One fundamental problem of implementing MI is the lack of a proper dataset. Data accumulated in thepast largely reflect research interests and protocols of the corresponding ages and/or individual
researchers. Hence, unrestricted correction of these data results in an unevenly distributed andinconsistent dataset, and vice versa. The said problem becomes the most impactful when MI isemployed for catalysts, as they are generally sensitive to employed processes. In a recent publication,
we have successfully developed a high-throughput screening instrument for enabling an automatic
performance evaluation of 20 catalysts at a programmed series of conditions. The instrument was used
to acquire the performance of 59 catalysts for oxidative coupling of methane (OCM) at 216 conditions,thus affording a total of 12708 data points within three successive operations. Analyzing the big data,
important insights into catalysis and catalyst design were successfully manifested in a very short periodof time (Fig. 2).

Fig. 2. Catalyst informatics base on high-throughput experimentation.
References[1] T. Taniike, T. Kitamura, K. Nakayama, K. Takimoto, N. Aratani, T. Wada, A. Thakur, and P. Chammingkwan, ACS
Appl. Polym. Mater. 8 (2020), pp. 3319-3326.
[2] A. Thakur, T. Hamamoto, T. Ikeda, P. Chammingkwan, T. Wada, and T. Taniike, Appl. Catal. A Gen. 595 (2020),
117508 (pp. 1-9).
[3] T.N. Nguyen, T.P.N. Tran, K. Takimoto, A. Thakur, S. Nishimura, J. Ohyama, I. Miyazato, L. Takahashi, J. Fujima, K.
Takahashi, and T. Taniike, ACS Catal. 10 (2020), pp. 921-932.
[4] P. Chammingkwan, M. Terano, and T. Taniike, ACS Combi. Sci. 19 (2017), pp. 331-342.

<CV>
Dr. Toshiaki Taniike is a Professor of Materials Science in Japan Advanced Institute of Science and Technology. He
graduated the Department of Engineering, the University of Tokyo in 2001 and received M. Eng. in 2003. He joined
the research group of Prof. Iwasawa in the Department of Science, the University of Tokyo and received Ph.D in
2006. Since then, he has worked in Japan Advanced Institute of Science and Technology as an Assistant Professor(2006-2012), Associate Professor (2013-2020), and currently a full Professor. He has published 131 peer-reviewed
papers in international journals, and has made 70 invited presentations in conferences.

33

Remotely utilization in the instrument for research (In Jobsite): The current situation and the going forward
研究機器（現場）における遠隔利用の現状と今後
1

K. Arifuku
1

JEOL Ltd.
1156 Nakagami-cho Akishima-shi TOKYO 196-0022 JAPANWe can mention the working remotely as one of the requirement which is required to the research andanalysis site on new normal generation. At that time, the issues are the security for instrument andoperation for sample transportation or other. We have provided "The Screen sharing System" and"Working Remotely System" as way ofsolution for these issues. "The Screen
sharing System": The instrument joins to the
WEB meeting.
"Working Remotely System": Operating the
instrument by remotely. And, we have
expanded "WEB Contract and Sharing(Fig.1)" using these techniques in fact.
We introduce the concrete case in thissession. And, we plan to expand to "WEB
Fig. 1
training and support" business or other by
The image of WEB Sharing in JEOL
these technique in near future.
Analysis technique is classified the qualitative analysis and the quantitative analysis roughly. The
quantitative analysis is able to stylize and the automatize is fitted to it, but the qualitative analysis is
not stylized and the Automize is very difficult to fitted to it. In analysis site, they are working thePreprocessing/Measurement/Processing the data to each analytical purpose for variously sample,
therefore it's very difficult to be "Working remotely" and "Automize" of all process. When considering
about research style in future, the directivity for open innovation becomes important, not selfsufficiency. We consider that the establishing the base which specialize in research and it needs thenext step for "stylized" "Working remotely" "Automize". Analysis style is in a similar manner, weconsider that doing "Method/Stylized " is the short cut to "Working remotely" and "Automize"
We have been convinced that "Working
remotely" is the technique which connects toanalysis base and it's high possibility tocontribute to improve "Analisis productivity"and "Speed" as discussion tool for researcher
and analst, not just network on instrument.
(Fig.2)In this session, we would like to suggest the Fig. 2
current situation and going forward of the The going forward style of connecting to base of research andanalysis site
direction for the research and analysis site.
We hope that it will continue to be useful to you in the future.

34

Kazunori Arifuku, General Manager
Service Planning Promotion Division Field Solution Business Operations JEOL Ltd.

35

36

Session 3【nanotech 2020 award lecture / nano tech大賞 2020 講演】

Session 3【nanotech 2020 award lecture /nano tech大賞 2020 講演】

37

38

“Innovative Conjugate Spinning Technology NANODESIGN® ”「革新複合紡糸技術NANODESIGN 」®

Masato Masuda (TORAY)
増田 正人（東レ株式会社）

39

Innovative Conjugate Spinning Technology NANODESIGN®
革新複合紡糸技術NANODESIGN®

M. Masuda, T. Matsuura, N. Suzuki, K. Hamada, T. Ishikawa and T. Miyao
Fibers & Textiles Research Laboratories, Toray Industries, Inc., Mishima Plant
4845, Mishima, Shizuoka 411-8625, JAPAN

Abstract
NANODESIGN® is an innovative conjugate spinning technology which produces fibers consisting of
two or more different polymers while enabling to design the fiber cross-section with nano-scale. In thisinnovative conjugate spinning technology, polymer is divided into an enormous number of fine flows,
and subsequently discharged and converged. It is thus possible to design the cross-section of conjugate
fiber far more precisely than a conventional technology. This precise control of polymer flows can beapplied not only to the nanofiber productions but also to the developments of a wide variety of fiber
materials. We are advancing the development of highly functional apparel fabrics and highperformance industrial products by this leading-edge technology.
I. Introduction
Fibers are used in a wide variety of products because of their useful thin and long shape. Especially,
pursing the fineness of fiber is one of the most important subjects both academically and industrially.
Nanofibers show nano-size effects that are not emerged in conventional fibers, because of their highspecific surface area, nano-scale spaces between the fibers, etc. The sea-island conjugate spinning is
one of the nanofiber production methods. We established this method in 1970’s for producing
continuous filament type ultrafine fibers1). Ultrafine fibers consisting of island component can beobtained by removing the sea component from the sea-island conjugate fibers. In order to pursue thefineness of nanofibers by the sea-island conjugate spinning method, the number of the islands should
be increased as large as possible, however, it was extremely difficult due to the processing limit ofspinneret and the control of fine polymer flows divided in a spinneret.
II. Pursuit of ultrafine fiber technology
We were engaged in the research on the sea-island conjugate spinning and pursued the precise controlof fine polymer flows to overcome above-mentioned technical issues. Finally, we attained the creationof innovative conjugate spinning technology NANODESIGN®, which can design the fiber crosssection with nano-scale. As a result, we succeeded in producing continuous filament type nanofibers
which have 150 nm fiber diameter and homogeneous round cross-section2). Furthermore, we also
succeeded in controlling various cross-section shapes as shown in Fig.1. Therefore, we accomplishedthe world’s first production of nanofibers with modified cross-sectional shape.

40A polymer
B polymer

1μm

100nm

500nm

30μm

Fiber cross section withuniquely arranged islands

Fiber cross section with
Y-shaped nanofibers

Fiber cross section withside by side nanofibers

Fiber cross section with
Toray logo fiberFig.1 High precise conjugate fibers by NANODESIGN®

III. Developments and applications in NANODESIGN®
NANODESIGN® is a versatile spinning technology for advanced materials. This technology has so
far been used to produce various fibers, such as “uts-FIT”: an ultra-fine side-by-side conjugate fibers
3), “Primeflex”: a stretch fabric with eccentric sheath-core conjugate fibers4), “Nano-slit nylon”: awater-repellent nylon fibers in which microscopic slits run lengthwise on the fibers (Fig.2) 5), and“Kinari”: a light and airy silk-like texture with three-leaf clover shaped fibers conceived by natural silk
(Fig.3) 6). Furthermore, this technology can be used not only for clothing but also for medical
applications.

3μm

3μm

20μm

Fig.2 Durable water-repellent textile “Nano Slit Nylon””

Fig.3 New feeling Polyester textile “Kinari””

References[1] M. Okamoto, Development of Advanced Fibers, CMC Publishing Co., Ltd. (1988), pp213-222[2] https://cs2.toray.co.jp/news/toray/newsrrs01.nsf/0/E5C87AF26F9490CA49257D0D0022E852[3] https://cs2.toray.co.jp/news/toray/newsrrs01.nsf/0/CB1045BDA85268984925807B000B6CD6[4] https://cs2.toray.co.jp/news/toray/newsrrs01.nsf/0/BD4F52C3AFCE9BAD492583450010471D[5] https://cs2.toray.co.jp/news/toray/newsrrs01.nsf/0/B6BA4C8B14578E8B492583E40007CD30?open[6] https://cs2.toray.co.jp/news/toray/newsrrs01.nsf/0/E22E649E8F10E229492584A3001E26B6?open

Masato Masuda, Ph.D.
Chief Research Associate, Fibers & Textiles Research Laboratories,
Toray Industries, Inc. Mishima Plant
E-mail: masato.masuda.p5@mail.toray

41

42

Session 4【Topics and future perspectives of nanotechnology platforms /ナノテクノロジープラットフォームの成果と将来展望】

Session 4【Topics and future perspectives ofnanotechnology platforms /ナノテクノロジープラットフォームの成果と将来展望】

43

44

“Digital transformation of materials research and development”「マテリアル研究開発のDX化について」

Ministry of Education, Culture, Sports, Science and Technology
文部科学省“Nano-scale analysis for development of materials”「マテリアル開発につながる微細構造解析技術」

Takahisa Yamamoto (Nagoya University)
山本 剛久（名古屋大学）“MICROFLUIDIC DEVICES FABRICATED BY FOUNDRY SERVICE AND
THEIR APPLICATIONS TO LIFESCIENCE RESEARCHES”「受託代行サービスにより作製した微小流体デバイスとそのライフサイエンス研究への応用」

Ryuji Yokokawa (Kyoto University)
横川 隆司（京都大学）“Structure Elucidation Support by the Crystalline Sponge Method”「結晶スポンジ法による構造解析支援」

Takaaki Mitsuhashi (Institute for Molecular Science)
三橋 隆章（分子科学研究所）

45

Nano-scale analysis for development of materials
マテリアル開発につながる微細構造解析技術
T. Yamamoto, S. Arai, and T. Nakano
Nagoya University
Furo-cho, Chikusa-ku, Nagoya 464-8601, Japan

Abstract
So far, the nanotechnology platform for an advanced characterization branch at Nagoya University(hereinafter referred to as PF) have been working on various kinds of technical supports based on
microstructure analysis using the equipment installed in the Ultra High Voltage Electron Microscope
Center with full-time staffs of PF and the cooperation of technical personnel. The facilities installed at
the center has characteristic equipment such as an environmental ultra-high-voltage electron
microscope (HVEM), FIB-SEM and so on. HVEM can do in-situ observation and analyzation invarious kinds of gas environment. FIB-SEM has a characteristic alignment of Ga ion and electron
beams that enables us to do Cut & See observation easily. Here, we would like to briefly introduce theinteresting two topics of the technical support we have done so far.
Devices that can decompose water with high efficiency using photocatalysts have attracted attention
from the viewpoint of environmental conservation in recent years. Prof. Lippmaa’s group at the
University of Tokyo have succeeded in developing photoelectrochemical water splitting devices thatcan show high efficiency by incorporating characteristic Ir nanopillar structure in thin films. When
SrTiO3 thin film with the addition of Ir is homoepitaxially grown on SrTiO3 substrate using pulsed
laser deposition method, a nanoscale dot-like structure appears on the thin film surface. To confirm theinner structure of this dot-like structure, we were requested to analyze the structural analysis for theirnovel devices. As a method for preparation of thin foils for TEM observation, we adopted a thinning
process by mechanical polishing using a precision polishing machine resulting in thickness about 1020nm, and achieved the finish with Ar ion milling treatment of only about 5 minutes. Figure 1 show
the cross-section and plane-view HAADF-STEM images of the sample. It’s confirmed that a nanopillar is growing into the substrate vertically in SrTiO3 film with 10nm in width. It can be seen that anano pillar is growing slightly raised from SrTiO3 thin film surface and its bottom contacts directly tothe interface plane between thin film and substrate. Such characteristic structure had resulted in highefficiency of photoelectrochemical water splitting of this device. The results were reported in various
media such as article of Nature Communication, Nikkei Technology and so on1), and were selected as
the top prize of the six selected best results of the nanotechnology platform in 2017.
There is another tectonic analysis support
performed for lead-free solder material, whichenabled the material to be on practical use as
novel lead-free solder. In recent years, “leadfree solder” has been promoted fromenvironmental problems, however, there is amajor problem has been left in its durability.
To overcome the issue, Napra Co., Ltd. havedeveloped a new lead-free solder materialusing their intermetallic compound composite(IMCC) technology. The company has made to Fig. 1 HAADF-STEM images of Ir nanopillar grown inmix copper (Cu) etc. to Sn matrix at a fixed rate SrTiO3 thin films.

46

using IMCC technique. In their lead-free solder, metallic Sn
matrix particles are containing a functional particulate metal
with a diameter of 10μm which forms the nano intermetallic
compound. The IMCC particles have excellent thermal
stability despite lead-free. Its functionality is characterized
by surpassing the conventional lead solder. In this structural
analysis support, Cut & See using FIB-SEM was carried out
in order to clarify the reason for the thermal stability of
IMCC particles. Figure 2 is an example of this. It was foundthat Sn-Cu intermetallic compounds present in β-Sn, and thecompounds were localized with a bridge among Sn-Sn
grains, alleviating distortions due to thermal shock. That SnCu intermetallic compound was responsible for the "anchor
effect" that suppresses structural changes from β-Sn to otherphases with changes from low to high temperatures. The
Fig. 2 TEM bright field image taken fromresults of the technical support for microstructure analysis IMMC lead-free solder.
were reported in the Nikkan Kogyo Shimbun2) and selected
as one of the six most excellent results of the nano platform
in 2018.
Nine years have passed since the nanotechnology platform was launched as a national project by
MEXT. It is a well-known fact that the state-of-the-art equipment for nano/sub-nano scale analysis has
progressed rapidly, and the amount of capital investment has been increasing with the progress. Thus,
it is clear that to keep a system sharing these state-of-the-art facilities and treating human resources
with expert skills is an essential part of improving the research environment. The nanotechnology
platform project, which was launched about nine years ago under this philosophy, is now widely
recognized in Japan and overseas under the name of "nanoplat”. This attitude of "use of sharedfacilities" may suggest that it has begun to take root as a culture. We would like to cherish the word
"nanoplat" as this brand.
References[1] S. Kawasaki, R. Takahashi, T. Yamamoto, M. Kobayashi, H. Kumigashira, J. Yoshinobu, F. Komori, A. Kudo and M.
Lippmaa, Nature Comm., 7 (2016), 11818.
[2] H. Ikeda, S. Sekine, R. Kimura, K. Shimokawa, K. Okada, H. Shindo, 2017 International Conference on Electronics
Packaging (ICEP), pp. 171-176, (2017).

Takahisa Yamamoto is Professor and director of Advanced Characterization Nanotechnology Platform at Nagoya
University. His research focuses on nano-scale analysis based on transmission electron microscopy and ceramic
processing. He joined Nanostructures Research Lab. at Japan Fine Ceramics Center and National Institute forMaterials Science as a visiting researcher.

47

MICROFLUIDIC DEVICES FABRICATED BY FOUNDRY SERVICE AND
THEIR APPLICATIONS TO LIFESCIENCE RESEARCHES
受託代行サービスにより作製した微小流体デバイスとそのライフサイエンス研究への応用
Ryuji Yokokawa
Department of Micro Engineering, Kyoto University
Kyoto daigaku-Katsura, Nishikyo-ku, Kyoto 615-8540 Japan

Nanotechnology platform at Kyoto University for nanofabrication has been providing many fabrication
technologies for interdisciplinary researches. Compared to silicon-based micro/nano fabrications for
MEMS applications, relatively simple structure and mechanisms are demanded in biotechnology
applications. Foundry service at Kyoto University has accumulated experience to answer the demandthrough communication with lifescience researchers from various fields including biophysics, stem
cell biology, developmental biology and biomedical engineering.
For the last couple of decades, micro/nano fabrication technologies have prevailed among many
biological research disciplines. Expecting that micro/nano fabrications can be a powerful assay
platform, many research groups have been focusing on applicability of fabrication technologies tomulti-scale biomaterials from single molecule of RNA/DNA and proteins to cells and tissues. In thispresentation, I will introduce the current status of foundry service at Kyoto University related tolifescience applications. Most of services have been initiated by a simple question from lifescience
researchers such as “what if I can conduct a cell assay in a confined microenvironment?” and expansionof discussion about how staffs at nanotechnology platform realize it by fabrications.
My research group has been contributing to connect lifescience researchers and nanotechnology
platform by conducting interdisciplinary researches. One of foundry service we used is a
nanopatterning methods for motor proteins that contribute to their biophysical studies. We developed
a molecular sorter to separate microtubules depending on their electro-mechanical properties [1,2], andto visualize motors and ATP at single molecule level [3]. More recently, nano-pillars were utilized toimmobilize single individual motor proteins [4] and revealed that two different motor proteins behave
differently [5].
Another example of foundry service is a simple PDMS microfluidic device fabricated by SU-8 mold,which was used to pattern endothelial cells for creating an on-chip vascular network that allows us toculture three-dimensional tissues. We developed an on-chip vascular network using human umbilicalvein endothelial cells (HUVECs) and human lung fibroblasts (hLFs). The vascular network enables us
to perfuse a spheroid for a long-term assay and evaluate angiogenic sprouts via applied shear stress [6].
The assay method was also applied to a tumor spheroid to evaluate the efficacy of an anti-tumor drug
under a flow condition, which was not realized without the microfluidic device [7]. We have proposedseveral bioassays that create functional nanoscale systems and contribute to understanding of in vivo
functions of motor proteins and endothelial cells. We keep exploring how micro/nano fabrications candeepen science both at molecular and cellular scale.

48

References[1] N. Isozaki et al., Sci. Rep., 5, 7669, 2015.
[2] N. Isozaki et al., Sci. Robot., 2, 10, eaan4882, 2017.
[3] K. Fujimoto et al., ACS Nano, 12, 12, 11975–11985, 2018.
[4] T. Kaneko et al., Nanoscale, 11, 9879-9887, 2019.
[5] T. Kaneko et al., Sci. Adv., 6, 4, eaax7413, 2020.
[6] Y. Nashimoto et al., J. Vis. Exp., 134, e57242, 2018.
[7] Y. Nashimoto et al., Biomaterials, 229, 119547, 2020.

Ryuji Yokokawa（横川隆司）
Ryuji Yokokawa is a Professor at Department of Micro Engineering, Kyoto University, Japan, and a Visiting
Researcher at RIKEN Center for Biosystems Dynamics Research (BDR), Japan. He received his Ph.D. degree in
Department of Electrical Engineering from The University of Tokyo in 2005. He was a visiting student in Prof. C.J.
Kim's group, Department of Mechanical and Aerospace Engineering, University of California, Los Angeles (2000–
2001) and a visiting scholar with Prof. S. Takayama, Department of Biomedical Engineering, University of Michigan(2011–2012).
He has authored or co-authored more than 76 peer-reviewed journal and 116 conference papers, 1 book chapter, andhas 6 patents issued or pending. He has served as a technical or organizing committee member in international
conferences including Transducers, MicroTAS, IEEE NEMS, MEMS, Sensors and NANOMED.

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Structure Elucidation Support by the Crystalline Sponge Method
結晶スポンジ法による構造解析支援
1

T. Mitsuhashi

1Institute for Molecular Science,
5-1 Higashiyama, Myodaiji, Okazaki, 444-8787, Japan

Abstract
The crystalline sponge (CS) method is a unique and powerful approach for the structure determinationof molecules.1 Since the structure determination is essential technique for the nanotechnology, the CS
method would greatly accelerate the research and development in the field of nanoscience. In thispresentation, I will talk about (i) an overview of the CS method, (ii) how we support researchers in the
nanotechnology platform program, and (iii) future perspectives regarding the relationship between the
CS method and the data-driven development of new materials.
I. What is the CS Method?
The CS method is a unique way to subject compounds of interest to the X-ray crystallography. The Xray crystallography is known as one of the most reliable approaches to analyze the chemical structuresof molecules. But, there is a serious limitation. Crystallization of the target compounds is required.
Since there is no certain way to crystalize the molecules, the crystallization is laborious process, andtakes a long time. However, by using the CS method, we can overcome this difficulty, because thismethod enables the “crystallization-free” X-ray crystallography (Figure 1). In the CS method, themolecules of interest are not crystalized but introduced into crystalline porous organometallic
complexes. Since the introduced molecules can be neatly aligned in the porous complex, we canobserve the structure of the introduced molecules by the X-ray analysis.

sam p lesolution

Gu esta b s o r p tio n

Porous crystal(crystalline sp ong e)
Fig. 1The overview of the CS method.

50

X -r a ya n a ly s is

Guest-ab sorb ed
p orous crystal

Structure of targ et m olecule
is ob served

II. Structure Elucidation Support by the CS Method in Nanotechnology Platform Program
We supported researchers (users of this program) from various research fields such as synthetic
chemistry, natural product biosynthesis, and chemo-enzymatic synthesis, analyzing the structure ofcompounds, which they are interested in. Additionally, some users stayed our lab for several months
and learned how to carry out the CS method.
III. Future Perspectives: Data-driven Approach would Improve the CS Method
It is worth noting that the porous organometallic complexes, which is used in the CS method, is a kindof materials. The most frequently used complex is composed of 2,4,6-tris(4-pyridyl)-1,3,5-triazine (1)and zinc halide (Figure 2). This complex has a great ability to neatly align the introduced molecules in
its pore. However, for the further improvement of the CS method, development of new porous crystals
is required. I believe that the data-driven approach using the big data and AI would be helpful for thedevelopment of the new porous crystals for the CS method.

× 2n + ZnI 2 × 3n1
Fig. 2
Porous crystal, which is frequently used in the CS method.
References[1] Y. Inokuma, S. Yoshioka, J. Ariyoshi, T. Arai, Y. Hitora, K. Takada, S. Matsunaga, K. Rissanen, M. Fujita, Nature
2013, 495, 461 – 466.

Takaaki Mitsuhashi received his B.S. (2014), M.S. (2016), and Ph.D. (2019) degrees from the University of Tokyo
under the guidance of Prof. Ikuro Abe. Now, he is working in the Prof. Makoto Fujita’s research group at Institutefor Molecular Science as a research assistant professor.

51

組織委員会/Organizing Committee
小出 康夫（委員長） Yasuo Koide (Chair)

物質・材料研究機構/National Institute for Materials Science

小寺 秀俊

Hidetoshi Kotera

理化学研究所/RIKEN

佐藤 勝昭

Katsuaki Sato

東京農工大学/ Tokyo University of Agriculture and Technology

藤田 大介

Daisuke Fujita

物質・材料研究機構/National Institute for Materials Science

三留 正則

Masanori Mitome

物質・材料研究機構/National Institute for Materials Science

横山 利彦

Toshihiko Yokoyama

自然科学研究機構分子科学研究所/Institute for Molecular Science

プログラム委員会/Program Committee
三留 正則（委員長） Masanori Mitome (Chair)

物質・材料研究機構/National Institute for Materials Science

秋永 広幸

Hiroyuki Akinaga

京都大学/Kyoto University

河合 壮

Tsuyoshi Kawai

奈良先端科学技術大学院大学/Nara Institute of Science and Technology

小出 康夫

Yasuo Koide

物質・材料研究機構/National Institute for Materials Science

今野 豊彦

Toyohiko Konno

東北大学/Tohoku University

島本 直伸

Naonobu Shimamoto

東京大学/The University of Tokyo

野田 哲二

Tetsuji Noda

物質・材料研究機構/National Institute for Materials Science

日原 岳彦

Takehiko Hihara

名古屋工業大学/Nagoya Institute of Technology

藤田 大介

Daisuke Fujita

物質・材料研究機構/National Institute for Materials Science

協52

賛/Cooperating Organizations

IEEE 東京支部

IEEE Tokyo Section

応用物理学会

The Japan Society of Applied Physics

高分子学会

The Society of Polymer Science, Japan

電気学会

The Institute of Electrical Engineers of Japan

電子情報通信学会

The Institute of Electronics, Information and Communication Engineers

ナノ学会

The Society of Nano Science and Technology

ナノテクノロジービジネス推進協議会

Nanotechnology Business Creation Initiative

日本ＭＲＳ

The Materials Research Society of Japan

日本化学会

The Chemical Society of Japan

日本金属学会

The Japan Institute of Metals and Materials

日本顕微鏡学会

The Japanese Society of Microscopy

日本再生医療学会

The Japanese Society for Regenerative Medicine

日本材料学会

The Society of Materials Science, Japan

日本人工臓器学会

Japanese Society for Artificial Organs

日本生体医工学会

Japanese Society for Medical and Biological Engineering

日本セラミックス協会

The Ceramic Society of Japan

日本ＤＤＳ学会

The Japan Society of Drug Delivery System

日本バイオマテリアル学会

Japanese Society for Biomaterials

日本表面真空学会

The Japan Society of Vacuum and Surface Science

日本物理学会

The Physical Society of Japan

マイクロマシンセンター

Micromachine Center

ファインセラミックスセンターJapan Fine Ceramics Center―禁無断掲載―
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