cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/gtw8cu
title: Replication Data for: Divide to Conquer: Using Wedge Narratives To Influence Diaspora Communities

description: As authoritarian regimes increasingly adapt domestic tools for outward-facing propaganda, they often target diasporas for internal stability and foreign policy reasons. We develop a theory of diaspora- targeted propaganda in which autocratic governments use wedge narratives – identity-based and po- litical – to divide diaspora from host countries, by framing racial discrimination and violence as tar- geting the diaspora and alternative political systems as inferior. We test our theory in the salient case of China. We measure propaganda framing with an unsupervised machine learning methodology, word embeddings, and apply it to data scraped from a prominent social media platform, WeChat. Consistent with our expectations, Chinese government accounts amplify coverage of anti-Asian racism and hate crimes in the United States, and portray democracies as chaotic and corrupt. These findings suggest that diaspora-targeted propaganda strategies can undermine the functioning of democratic and multicultural societies as part of an authoritarian foreign influence toolkit.
DOI: 10.7910/dvn/5m10kg
title: Replication Data for: Who Controls the Past: Endogenous Status Quo and Change in International Regimes

description: How do international regimes change over time? Regimes facilitate cooperation by linking together otherwise ad-hoc negotiations. These linkages endogenize the status quo from which subsequent negotiations depart. I develop a theory of endogenous status quo within international regimes: prior outcomes implicitly define the status quo of new negotiations by acting as focal points and by creating inconsistency costs. I test observable implications of the theory in the context of the multilateral trade regime, focusing on new member accession negotiations. These negotiations attract interest from a surprising subset of WTO members, many with few observable trade ties or other economic incentives to participate. Nonetheless participation enables states to shape the emergent status quo strategically, with potentially far-reaching implications for future bargaining. I employ a text-as-data approach - together with a novel corpus of negotiating documents - finding consistent support for the theory and mechanisms.
description: This dataset underwent an independent verification process that replicated the tables and figures in the primary article. For the supplementary materials, verification was performed solely for the successful execution of code. The verification process was carried out by the Odum Institute for Research in Social Science at the University of North Carolina at Chapel Hill. 
<br>
The associated article has been awarded Open Materials and Open Data Badges. Learn more about the Open Practice Badges from the Center for Open Science.<br>
DOI: 10.7910/dvn/gtvsiy
title: Replication Data for: Winner Takes All? Tech Clusters, Population Centers, and the Spatial Transformation of U.S. Invention

description: Replication data for "Winner Takes All? Tech Clusters, Population Centers, and the Spatial Transformation of U.S. Invention" by Brad Chattergoon and William R. Kerr, Research Policy (forthcoming)
DOI: 10.7910/dvn/ptpxuj
title: Wright Casebook Edited; Docketed Case: 71-1183
DOI: 10.7910/dvn/tgaaci
title: A12_22466.JPG

description: Link to OCHRE database: &lt;a href = ''http://pi.lib.uchicago.edu/1001/org/ochre/d4388742-76e1-453b-be0e-3a1d4063598b'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/d4388742-76e1-453b-be0e-3a1d4063598b
DOI: 10.7910/dvn/zstw36
title: Passed Acts; St. 1855, c.256, SC1/series 229, Petition of John B. Bailey

description: &lt;p&gt;Petition subject: School discrimination &lt;/p&gt; &lt;p&gt;Original: &lt;a href="http://nrs.harvard.edu/urn-3:FHCL:10670503"&gt;http://nrs.harvard.edu/urn-3:FHCL:10670503&lt;/a&gt; &lt;/p&gt; &lt;p&gt;Date of creation: (unknown) &lt;/p&gt; &lt;p&gt;Petition location: Charlestown &lt;/p&gt; &lt;p&gt;Legislator, committee, or address that the petition was sent to: Charles W. Slack, Boston; committee on education &lt;/p&gt; &lt;p&gt;Selected signatures:&lt;ol&gt;&lt;li&gt;John B. Bailey&lt;/li&gt;&lt;li&gt;Sarah P. Baxter&lt;/li&gt;&lt;li&gt;Rebecca Bearse&lt;/li&gt;&lt;li&gt;Lucinda Mitchell&lt;/li&gt;&lt;li&gt;Ann E. Bailey&lt;/li&gt;&lt;li&gt;John A. Nowell&lt;/li&gt;&lt;li&gt;Peter Randolph&lt;/li&gt;&lt;li&gt;Samuel Fowler Jr.&lt;/li&gt;&lt;li&gt;Elizabeth Fowler&lt;/li&gt;&lt;li&gt;Jacob Sampson&lt;/li&gt;&lt;li&gt;Edwin Garrison Walker&lt;/li&gt;&lt;li&gt;Wyatt Lee&lt;/li&gt;&lt;li&gt;Samuel Fowler&lt;/li&gt;&lt;li&gt;Mary Turner&lt;/li&gt;&lt;li&gt;Thomas Tompson&lt;/li&gt;&lt;li&gt;Bathsheba Fowler&lt;/li&gt;&lt;/ol&gt; &lt;/p&gt; &lt;p&gt;Actions taken on dates: 1855-02-08,1855-02-09 &lt;/p&gt; &lt;p&gt;Legislative action: Received in the House on February 8, 1855 and referred to the committee on education and sent for concurrence and received in the Senate on February 9, 1855 and concurred &lt;/p&gt; &lt;p&gt;Total signatures: 228 &lt;/p&gt; &lt;p&gt;Legislative action summary: Received, referred, sent, received, concurred &lt;/p&gt; &lt;p&gt;Legal voter signatures (males not identified as non-legal): 191 &lt;/p&gt; &lt;p&gt;Female signatures: 30 &lt;/p&gt; &lt;p&gt;Other male signatures: 1 &lt;/p&gt; &lt;p&gt;Unidentified signatures: 6 &lt;/p&gt; &lt;p&gt;Female only signatures: No &lt;/p&gt; &lt;p&gt;Identifications of signatories: inhabitants, legal voters, other persons, [females], [other males], [males of color], [females of color], ["others"] &lt;/p&gt; &lt;p&gt;Prayer format was &lt;a href="http://en.wikipedia.org/wiki/Printing"&gt;printed&lt;/a&gt; vs. &lt;a href="http://en.wikipedia.org/wiki/Manuscript"&gt;manuscript&lt;/a&gt;: Printed &lt;/p&gt; &lt;p&gt;Signatory column format: column separated &lt;/p&gt; &lt;p&gt;Additional non-petition or unrelated documents available at archive: additional documents available &lt;/p&gt; &lt;p&gt;Additional archivist notes: [David Walker's son] &lt;/p&gt; &lt;p&gt;Location of the petition at the Massachusetts Archives of the Commonwealth: St. 1855, c.256, passed April 28, 1855 &lt;/p&gt; &lt;p&gt;Acknowledgements: Supported by the National Endowment for the Humanities (PW-5105612), Massachusetts Archives of the Commonwealth, Radcliffe Institute for Advanced Study at Harvard University, Center for American Political Studies at Harvard University, Institutional Development Initiative at Harvard University, and Harvard University Library.&lt;/p&gt;
DOI: 10.7910/dvn/zvx57v
title: Editorial Foreward: Special Issue of Papers arising from the 18th International Workshop on H-mode Physics and Transport Barriers (Princeton, USA, 2022)

description: This Special Issue of Nuclear Fusion collects papers from the 18th International Workshop on H-mode Physics and Transport Barriers, known more commonly as the 'H-mode Workshop', which was jointly hosted from 20–23 September 2022 by Princeton Plasma Physics Laboratory, Princeton University, Massachusetts Institute of Technology and General Atomics. The workshop was held as a hybrid event, with the on-site activities based at Princeton's Andlinger Center in Princeton, New Jersey, USA. It was the latest in a series of nominally biennial workshops beginning in 1987 and which have been hosted in a number of world locations (San Diego, Gut Ising, Abingdon, Naka, Princeton, Kloster Seeon, Oxford, Toki, St. Petersburg, Tsukuba, Fukuoka, Garching, Shanghai).
description: PSFC REPORT PSFC/JA-23-122<br><br><br><br>If this record does not contain the full text, then the manuscript has been embargoed by the publisher thus restricting open access for 12 to 24 months after publication.
DOI: 10.7910/dvn/zwao3l
title: Design of an inertial fusion experiment exceeding the Lawson criterion for ignition

description: We present the design of the first igniting fusion plasma in the laboratory by Lawson’s criterion that produced 1.37 MJ of fusion energy, Hybrid-E experiment N210808 (August 8, 2021) [Phys. Rev. Lett. 129, 075001 (2022)]. This design uses the indirect drive inertial confinement fusion approach to heat and compress a central “hot spot” of deuterium-tritium (DT) fuel using a surrounding dense DT fuel piston. Ignition occurs when the heating from absorption of α particles created in the fusion process overcomes the loss mechanisms in the system for a duration of time. This letter describes key design changes which enabled a ∼3–6× increase in an ignition figure of merit (generalized Lawson criterion) [Phys. Plasmas 28, 022704 (2021), Phys. Plasmas 25, 122704 (2018)]) and an eightfold increase in fusion energy output compared to predecessor experiments. We present simulations of the hot-spot conditions for experiment N210808 that show fundamentally different behavior compared to predecessor experiments and simulated metrics that are consistent with N210808 reaching for the first time in the laboratory “ignition.”
description: PSFC REPORT PSFC/JA-22-17<br><br>This work was performed under the auspices of U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract No. DE-AC52-07NA27344. It was supported in part by the U.S. Department of Energy NNSA MIT Center-of-Excellence under Contract DE-NA0003868 and by LLNL under Contract B640112.<br><br>If this record does not contain the full text, then the manuscript has been embargoed by the publisher thus restricting open access for 12 to 24 months after publication.
DOI: 10.7910/dvn/zo0vgm
title: The African Catfish Price in Uganda Database

description: The African catfish monthly price data from January 2013 through August 2016. The database contains monthly farm-gate prices, landing prices, retail prices and wholesale prices.
description: These data were originally collected by Aquaculture Management Consultant Ltd.
DOI: 10.15468/dl.2bsb26
title: Occurrence Download

description: A dataset containing 13417 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Arthrobacter Conn & Dimmick, 1947"
 ]
}

 The dataset includes 13417 records from 332 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017865-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/xwd8kn2gxb
title: Transport mechanisms of nanoplastics in agricultural soils under snowmelt infiltration conditions in cold regions

description: It includes the migration characteristics of nanoplastics under snowmelt infiltration conditions and the analysis data of mechanism analysis process.
DOI: 10.17632/xwd8kn2gxb.1
title: Transport mechanisms of nanoplastics in agricultural soils under snowmelt infiltration conditions in cold regions

description: It includes the migration characteristics of nanoplastics under snowmelt infiltration conditions and the analysis data of mechanism analysis process.
DOI: 10.7910/dvn/aqhtdh
title: Labor Demand Elasticity Measures for US Counties by Industries

description: This dataset comes from the study "REGIONAL VARIATIONS IN LABOR DEMAND ELASTICITY: EVIDENCE FROM U.S. COUNTIES" by Abhradeep Maiti and Debarshi Indra (Journal of Regional Science. doi: 10.1111/jors.12265). The file contains the estimated labor demand elasticity for various industry groups across US counties.
description: Maiti, A. and Indra, D. (2016), REGIONAL VARIATIONS IN LABOR DEMAND ELASTICITY: EVIDENCE FROM U.S. COUNTIES. Journal of Regional Science. doi: 10.1111/jors.12265 

We use a large panel dataset covering the period 1988–2010 to estimate county specific own-wage elasticity of labor demand in the U.S. for four highly aggregated industries: construction, finance/insurance/real-estate/service, manufacturing, and retail trade. Our estimation of a random parameter panel data model yields significant evidence of spatial variations in wage elasticity of labor demand. We relate the spatial variation in elasticity to differences in county characteristics like industry specialization, industry competition, levels of natural amenity and urbanization. Using a regression discontinuity approach we also find that pro-business states have higher labor demand elasticity.
DOI: 10.7910/dvn/elrsmx
title: Replication Data for: 2013 "Why do states formally invoke the right of individual self-defense?: Legal-, diplomatic- and aid-politics to motivate states to respect international law," Conflict Management and Peace Science. 30(2): 161-177.

description: There are STATA dta file with do file and web appendix.
DOI: 10.7910/dvn/gtnejd
title: RLI-PeopleSuN Energy Audits (RLI-PSN): Household and enterprise energy supply, use and preference data from rural Nigeria

description: This repository contains anonymized household and enterprise energy audit survey data gathered under the PeopleSuN project, funded by the German Federal Ministry of Education and Research.
DOI: 10.7910/dvn/tiviyg
title: Force A, Noise Level 0

description: Force A, Noise Level 0
DOI: 10.7910/dvn/uuhrs4
title: PGMD country-year dataset version 1.1-2017

description: This is the country-year dataset of the Pro-Government Militias Database (PGMD), version 1.1-2017. This version contains new presence variables based on a new coding role for the termination date of a PGM. Please read our "Notes Version 1.1-2017" file for this new coding rule. The updated PGMD country-year dataset version 1.1-2017 includes both the old presence variables and the newly generated ones.
DOI: 10.7910/dvn/zvupod
title: hou00201c00195

description: [Unidentified author]. Rev. Mr. Broadwater (says) Every child is allowed to go to the government school, but the colored people can have separate schools [first line] : Ms (in unidentified hand), [no place], 1863?
description: URN-3:FHCL.HOUGH:100528159
DOI: 10.15468/dl.279qqa
title: Occurrence Download

description: A dataset containing 26855581 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((-180 60,180 60,180 90,-180 90,-180 60))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 26855581 records from 322 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017850-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17611/dp/18096565
title: Global ShakeMovie synthetic for March 18, 2020 MW 6.2 SOUTH OF BALI, INDONESIA
DOI: 10.17611/dp/18098363
title: Global ShakeMovie synthetic for March 20, 2020 MW 5.7 XIZANG
DOI: 10.17611/dp/18100568
title: Global ShakeMovie synthetic for March 21, 2020 MW 5.7 GREECE-ALBANIA BORDER REGION
DOI: 10.17611/dp/18100572
title: Global ShakeMovie synthetic for March 22, 2020 MW 5.7 CENTRAL MID-ATLANTIC RIDGE
DOI: 10.17611/dp/18100576
title: Global ShakeMovie synthetic for March 22, 2020 MW 6.1 CENTRAL EAST PACIFIC RISE
DOI: 10.17611/dp/18104462
title: Global ShakeMovie synthetic for March 25, 2020 MW 7.5 EAST OF KURIL ISLANDS
DOI: 10.17611/dp/18105478
title: Global ShakeMovie synthetic for March 26, 2020 MW 6.1 MINDANAO, PHILIPPINES
DOI: 10.17611/dp/18105482
title: Global ShakeMovie synthetic for March 26, 2020 MW 5.8 NEAR NORTH COAST OF IRIAN JAYA
DOI: 10.17611/dp/18106488
title: Global ShakeMovie synthetic for March 27, 2020 MW 5.6 IRIAN JAYA REGION, INDONESIA
DOI: 10.17611/dp/18107494
title: Global ShakeMovie synthetic for March 28, 2020 MW 5.8 SULAWESI, INDONESIA
DOI: 10.17611/dp/18107498
title: Global ShakeMovie synthetic for March 28, 2020 MW 5.9 VANUATU ISLANDS
DOI: 10.17611/dp/18108762
title: Global ShakeMovie synthetic for March 29, 2020 MW 5.7 SOUTHEAST OF LOYALTY ISLANDS
DOI: 10.17611/dp/18110004
title: Global ShakeMovie synthetic for March 30, 2020 MW 5.6 MID-INDIAN RIDGE
DOI: 10.17611/dp/18111018
title: Global ShakeMovie synthetic for March 31, 2020 MW 6.5 WESTERN IDAHO
DOI: 10.17611/dp/18112018
title: Global ShakeMovie synthetic for April 01, 2020 MW 5.6 SICHUAN, CHINA
DOI: 10.17611/dp/18113018
title: Global ShakeMovie synthetic for April 02, 2020 MW 5.5 BANDA SEA
DOI: 10.17611/dp/18116209
title: Global ShakeMovie synthetic for April 05, 2020 MW 6.0 NORTHERN MOLUCCA SEA
DOI: 10.17611/dp/18121060
title: Global ShakeMovie synthetic for April 10, 2020 MW 5.9 PHILIPPINE ISLANDS REGION
DOI: 10.17611/dp/18124197
title: Global ShakeMovie synthetic for April 12, 2020 MW 6.1 MID-INDIAN RIDGE
DOI: 10.17611/dp/18125306
title: Global ShakeMovie synthetic for April 14, 2020 MW 6.0 KERMADEC ISLANDS REGION
DOI: 10.17611/dp/18126339
title: Global ShakeMovie synthetic for April 15, 2020 MW 5.3 TONGA ISLANDS
DOI: 10.17611/dp/18126343
title: Global ShakeMovie synthetic for April 15, 2020 MW 5.7 NORTHERN COLOMBIA
DOI: 10.17611/dp/18127416
title: Global ShakeMovie synthetic for April 15, 2020 MW 5.8 NORTHERN MOLUCCA SEA
DOI: 10.17611/dp/18127420
title: Global ShakeMovie synthetic for April 16, 2020 MW 6.1 NORTH OF HONDURAS
DOI: 10.17611/dp/18128426
title: Global ShakeMovie synthetic for April 16, 2020 MW 6.1 MYANMAR
DOI: 10.17611/dp/18128430
title: Global ShakeMovie synthetic for April 17, 2020 MW 5.8 MID-INDIAN RIDGE
DOI: 10.17611/dp/18129791
title: Global ShakeMovie synthetic for April 18, 2020 MW 5.7 BONIN ISLANDS, JAPAN REGION
DOI: 10.17611/dp/18129795
title: Global ShakeMovie synthetic for April 18, 2020 MW 6.6 BONIN ISLANDS, JAPAN REGION
DOI: 10.17611/dp/18131295
title: Global ShakeMovie synthetic for April 19, 2020 MW 6.4 NEAR EAST COAST OF HONSHU, JAPAN
DOI: 10.17611/dp/18134056
title: Global ShakeMovie synthetic for April 22, 2020 MW 5.6 TONGA ISLANDS REGION
DOI: 10.17611/dp/18134804
title: Global ShakeMovie synthetic for April 24, 2020 MW 5.4 OFF COAST OF CHIAPAS, MEXICO
DOI: 10.17611/dp/18137096
title: Global ShakeMovie synthetic for April 25, 2020 MW 6.2 SOLOMON ISLANDS
DOI: 10.17611/dp/18137100
title: Global ShakeMovie synthetic for April 27, 2020 MW 5.5 NEW IRELAND REGION, P.N.G.
DOI: 10.17611/dp/18142216
title: Global ShakeMovie synthetic for May 02, 2020 MW 5.5 PUERTO RICO REGION
DOI: 10.17611/dp/18143525
title: Global ShakeMovie synthetic for May 03, 2020 MW 5.7 SOUTHERN PERU
DOI: 10.17611/dp/18143529
title: Global ShakeMovie synthetic for May 03, 2020 MW 6.0 NORTHWEST OF RYUKYU ISLANDS
DOI: 10.17611/dp/18143533
title: Global ShakeMovie synthetic for May 04, 2020 MW 5.7 NEAR EAST COAST OF HONSHU, JAPAN
DOI: 10.17611/dp/18144836
title: Global ShakeMovie synthetic for May 02, 2020 MW 6.6 CRETE, GREECE
DOI: 10.17611/dp/18144840
title: Global ShakeMovie synthetic for May 05, 2020 MW 5.5 NEAR COAST OF GUATEMALA
DOI: 10.17611/dp/18146873
title: Global ShakeMovie synthetic for May 05, 2020 MW 5.6 SAMOA ISLANDS REGION
DOI: 10.17611/dp/18146877
title: Global ShakeMovie synthetic for May 06, 2020 MW 6.8 BANDA SEA
DOI: 10.17611/dp/18147625
title: Global ShakeMovie synthetic for May 07, 2020 MW 6.1 SOLOMON ISLANDS
DOI: 10.17611/dp/18151234
title: Global ShakeMovie synthetic for May 08, 2020 MW 5.5 MID-INDIAN RIDGE
DOI: 10.17611/dp/18151238
title: Global ShakeMovie synthetic for May 10, 2020 MW 5.5 NORTHERN CHILE
DOI: 10.17632/9r59k6mb7x.1
title: Dataset for charismatic leadership tactics signaling and gender

description: De-identified data for a within-subjects experimental study investigating the effect of charismatic leadership tactics and leader/follower gender.
DOI: 10.17632/9r59k6mb7x
title: Dataset for charismatic leadership tactics signaling and gender

description: De-identified data for a within-subjects experimental study investigating the effect of charismatic leadership tactics and leader/follower gender.

Please note: This dataset supports an ongoing research project. We kindly request that it not be used for publication or derivative analysis until the original research is published. For clarification or collaboration enquiries, please contact the author.
DOI: 10.17632/9r59k6mb7x.2
title: Dataset for charismatic leadership tactics signaling and gender

description: De-identified data for a within-subjects experimental study investigating the effect of charismatic leadership tactics and leader/follower gender.

Please note: This dataset supports an ongoing research project. We kindly request that it not be used for publication or derivative analysis until the original research is published. For clarification or collaboration enquiries, please contact the author.
DOI: 10.5281/zenodo.15345341
title: Neural Network Matrix Product Operator: A Multi-Dimensionally Integrable Machine Learning Potential

description: Manuscript

- https://doi.org/10.1103/PhysRevResearch.7.023217

 

 

For Pompon-main.zip



See README.md at first for installation

Manuscript data for train/validate/test are in docs/data/*npy. They can be loaded by numpy.load.

The reference geometry information of H2CO molecule is docs/data/bagel_h2co_dft.s0.harmonic.json

training script is docs/notebook/_h2co_opt.py. It is easily executable by uv run _h2co_opt.py if you have installed uv. 



The trained weight is in docs/data/nnmpo_final_rmse_8.365e-04.h5. (HDF5 format)



NN-MPO to MPO is in docs/notebook/create-random-mpo.ipynb and docs/notebook/nnmpo_to_itensor_mpo.ipynb (Need ITensors.jl version 0.6.x, For version 0.7.x or later, ITensorMPS.jl would be needed.)

DMRG calculation by ITensors.jl is docs/notebook/itensor_vDMRG.ipynb.


If you have any questions, please post an issue on GitHub.

Discvar-main.zip is an implementation of discrete variable representation (DVR).

 



dnn-torch.py: MLP benchmark for the same dataset. Requirements: pytorch, tqdm, numpy, matplotlib

exact-ham.h5: Exact MPO of H2CO. (Bond dimension M=731)

nnmpo-ham.h5: NNMPO of H2CO.(Bond dimension M=16)

exact-ham-dmrg.jl: Julia script for phonon DMRG of Exact MPO

nnmpo-ham-dmrg.jl: Julia script for phonon DMRG of NN-MPO

bagel_h2co_dft.mcmc_inverse_pes.db: SQL database of MCMC sampled data

bagel_h2co_dft.s0.harmonic.json: Information about equilibrium geometry
DOI: 10.5281/zenodo.15345340
title: Neural Network Matrix Product Operator: A Multi-Dimensionally Integrable Machine Learning Potential

description: Manuscript

- https://doi.org/10.1103/PhysRevResearch.7.023217

 

 

For Pompon-main.zip



See README.md at first for installation

Manuscript data for train/validate/test are in docs/data/*npy. They can be loaded by numpy.load.

The reference geometry information of H2CO molecule is docs/data/bagel_h2co_dft.s0.harmonic.json

training script is docs/notebook/_h2co_opt.py. It is easily executable by uv run _h2co_opt.py if you have installed uv. 



The trained weight is in docs/data/nnmpo_final_rmse_8.365e-04.h5. (HDF5 format)



NN-MPO to MPO is in docs/notebook/create-random-mpo.ipynb and docs/notebook/nnmpo_to_itensor_mpo.ipynb (Need ITensors.jl version 0.6.x, For version 0.7.x or later, ITensorMPS.jl would be needed.)

DMRG calculation by ITensors.jl is docs/notebook/itensor_vDMRG.ipynb.


If you have any questions, please post an issue on GitHub.

Discvar-main.zip is an implementation of discrete variable representation (DVR).

 



dnn-torch.py: MLP benchmark for the same dataset. Requirements: pytorch, tqdm, numpy, matplotlib

exact-ham.h5: Exact MPO of H2CO. (Bond dimension M=731)

nnmpo-ham.h5: NNMPO of H2CO.(Bond dimension M=16)

exact-ham-dmrg.jl: Julia script for phonon DMRG of Exact MPO

nnmpo-ham-dmrg.jl: Julia script for phonon DMRG of NN-MPO

bagel_h2co_dft.mcmc_inverse_pes.db: SQL database of MCMC sampled data

bagel_h2co_dft.s0.harmonic.json: Information about equilibrium geometry