jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Faiza Abid | Azhar Hussain | Muhammad Asif Raza | Ghulam Hassan Askari
Source: MATEC Web of Conferences (article, 2023-01-01)
Field: Materials Science — Materials Chemistry

Nature Inspired Thermomechanical Treatment to Investigate the Mechanical Properties of AISI 1040 Strengthening of metals as a function of metal working and thermal treatment is being utilized effectively in steel structures. Effect on strength beyond thermomechanical treatment has been the focus of this research by imprinting a nature inspired pattern on one side of the sheet metal. Pangolin scale pattern overlapped on AISI 1040 sheet metal while preserving its base treatment. Microstructure, impact toughness, hardness, and tensile strength with notch opposite to worked side was investigated after forging and post forging heat-treatment. After heating at 800°C, overlapping patterned forging was done on one side of two plates and then subsequently cooled in two ways, air cooled, and water quenched. To analyze the effect of forging and heat treatment, Charpy impact, UTS, hardness tests, and metallography were carried out on the heat treated (forged + quenched), untreated (forged + air cooled) and base (as received) specimens. The Room temperature Charpy test showed that the untreated specimen has the highest impact toughness of 120 J as that of the base and heat-treated specimen, 44 J and 60 J respectively. The heat-treated specimen showed an increase in macro and micro hardness than for the base and untreated specimens. Whereas the UTS has dropped in untreated and heat-treated specimens as compared to the base specimen, because in tensile test load is applied uniformly throughout the specimen so the stress concentrations in the unforged side of the metal higher than the side which is forged with overlapping patterns. Charpy impact test ; Forging ; Materials science ; Ultimate tensile strength ; Base metal ; Toughness ; Composite material ; Microstructure ; Metallurgy ; Welding High-Velocity Impact and Material Behavior ; Metal Forming Simulation Techniques ; Microstructure and mechanical properties
Authors: Kento Sasaki | Takashi Taniguchi | Kensuke Kobayashi
Source: arXiv (Cornell University) (preprint, 2023-07-10)
Field: Materials Science — Materials Chemistry

Nitrogen isotope effects on boron vacancy quantum sensors in hexagonal boron nitride There has been growing interest in studying hexagonal boron nitride (hBN) for quantum technologies. Here, we investigate nitrogen isotope effects on boron vacancy (V$_\text{B}$) defects, one of the candidates for quantum sensors, in $^{15}$N isotopically enriched hBN synthesized using a metathesis reaction. The Raman shifts are scaled with the reduced mass, consistent with previous work on boron isotope enrichment. We obtain nitrogen isotopic composition-dependent magnetic resonance spectra of V$_\text{B}$ defects and determine the magnitude of the hyperfine interaction parameter of $^{15}$N spin to be 64 MHz. Our investigation provides a design policy for hBNs for quantum sensing. Boron ; Raman spectroscopy ; Nitrogen ; Vacancy defect ; Materials science ; Boron nitride ; Isotope ; Hyperfine structure ; Isotopic shift ; Chemical physics ; Chemistry ; Nanotechnology ; Atomic physics ; Crystallography ; Physics ; Organic chemistry ; Nuclear physics Diamond and Carbon-based Materials Research ; Graphene research and applications ; Boron and Carbon Nanomaterials Research
Authors: Thomas Zwick | Frank Van Den Bogaart | Ilona Rolfes | Amelie Hagelauer | Daniel Mittleman | Kamal Samanta | Joachim Hebeler | Akanksha Bhutani | David Ovalle-Taylor | Frdric Gianesello | Cyril Luxey | Guillaume Ducournau | Abhijit Pal | Martin Schneider | Nicholas Sturim | Matthew Hodek | Premjeet Chahal | John Albrecht | John Papapolymerou | Lorenz-Peter Schmidt | Laurenz John | Fabian Thome | Rainer Weber | Arnulf Leuther | Axel Tessmann | Hermann Massler | Anders Emrich | Josefina Adebahr | Ville Kangas | Florinel Balteanu | Kiran Thoomu | Ashish Pingale | Sruthi Venimadhavan | Saunak Sarkar | Yunyoung Choi | Hardik Modi | Serge Drogi | Junhyung Lee | Bipul Agarwal | Asaka Kobayashi | Ren Imanishi | Hideyuki Nosaka | Mahitab Eladwy | Ahmed Ayed | Ali Darwish | Slim Boumaiza | Michael Kilian | Philipp Kohl | Matthias Tonnier | Maria Wochner | Christian Hartwanger | Martin Vossiek | Abdalla Eblabla | Arathy Varghese | Hareesh Chandrashekar | Michael Uren | Martin Kuball | Khaled Elgaid | Shiqi Ma | Lucas Nyssens | Jean-Pierre Raskin | Dimitri Lederer | Uclouvain | Andre Scheder | Tim Pfahler | Anna Bridier | Jan Schr | Tejinder Singh | Raafat Mansour | Anthony Ghiotto | Faisal Amin | Lingyun Liu | Yun Liu | Yongjiu Zhao | Timothe Le Gall | Stefan Varault | Bruno Louis | Grgoire Pillet | Ziad Hatab | Hiroaki Takahashi | Ahmad Bader | Alothman Alterkawi | Michael Gadringer | Wolfgang Bsch | Sumeet Londhe | Eran Socher | Tel | Z Tian | M Zhang | H Yuan | B Sievert | M Eube | P Hildenhagen | H Roskos | D Erni | A Rennings | Marius Kretschmann | Peng Lu | Andreas Sthr | Susanne Brandl
Source:  (article, 2023-09-19)
Field: Chemistry — Inorganic Chemistry

EuMC 2023 Table of Contents Table (database) ; Computer science ; Database Inorganic Chemistry and Materials
Authors: Hennadii Portnov | Віктор Дарієнко | Viktor Pukalov
Source: Central Ukrainian Scientific Bulletin Technical Sciences (article, 2023-01-01)
Field: Materials Science — General Materials Science

Selection of Sealing Parameters of the Structure Layout With Sheet Glass Sheet glass is used in the creation of transparent constructions of building structures, for glazing of airplanes, helicopters, boats, as a structural material for instrument and aggregate construction, production of technical products in mechanical engineering. Structures made of sheet glass include fastening devices with sealing elements. Calculations of such structures cause difficulties, which are associated with the imperfection of their mathematical models. For the preliminary selection of the main parameters of the newly developed structures, it is advisable to use calculation software complexes with the preliminary development of the method of choosing the structure of fixing the glass sheet, taking into account the main sealing parameters according to the results of the study of the structure model. The nature of the stress state of the plate depends mainly on the type of load and the nature of its distribution, the ratio of the long and short sides to the thickness of the sheet glass, as well as the clamping parameters. The assessment of the stress-strain state of the structure is carried out according to the criteria of strength, rigidity and based on the study of dynamic characteristics. The calculations are reduced to justifying the choice of structural parameters of sheet glass, caliper and rubber sealing material, taking into account the stress-deformed state of the structure, operational, structural requirements and economic indicators. The paper presents a methodology for substantiating the selection of the parameters of a transparent structure, which includes a rectangular glass plate, elastic sealing and rigid frames based on model research in the SOLIDWORKS PC environment. It is shown that the parameters of fixing the sheet glass, including the sealing characteristics, significantly affect the mechanical properties of the structure. The developed model makes it possible to estimate the stress-deformed state of sheet glass and the dynamic properties of the structure depending on the parameters of the elastic seal. Glazing ; Clamping ; Structural engineering ; Flat glass ; Rigidity (electromagnetism) ; Material selection ; Aggregate (composite) ; Stress (linguistics) ; Structural material ; Deformation (meteorology) ; Materials science ; Mechanical engineering ; Engineering ; Engineering drawing ; Composite material Material Properties and Applications ; Structural Analysis of Composite Materials ; Structural mechanics and materials
Authors: Kazuhiro Maeda | Hiroyuki Kurata
Source: Preprints.org (preprint, 2023-03-07)
Field: Materials Science — Materials Chemistry

Automatic Generation of SBML Kinetic Models from Natural Language Texts using GPT Kinetic modeling is an essential tool in systems biology research, enabling the quantitative analysis of biological systems and predicting their behavior. However, the development of kinetic models is a complex and time-consuming process. In this article, we propose a novel approach called KinModGPT, which generates kinetic models directly from natural language text. KinModGPT employs GPT-3 as a natural language interpreter and Tellurium as an SBML generator. We demonstrate the effectiveness of KinModGPT in creating SBML models from complex natural language descriptions of biochemical reactions. KinModGPT successfully generates valid SBML models from a range of natural language model descriptions of metabolic pathways, protein-protein interaction networks, and heat shock response. This article demonstrates the potential of KinModGPT in kinetic modeling automation. SBML ; Computer science ; Interpreter ; Programming language ; Natural language ; Markup language ; Theoretical computer science ; Artificial intelligence ; XML Machine Learning in Materials Science ; Topic Modeling ; Fuel Cells and Related Materials
Authors: I. S. Pichkovskiy | V. E. Zobov
Source: arXiv (Cornell University) (preprint, 2023-03-09)
Field: Chemistry — Spectroscopy

Clustering into three groups on a quantum processor of five spins S = 1, controlled by pulses of resonant RF fields We consider a quantum processor based on five qutrits represented by spins S=1, which is driven by radio fre-quency (RF) pulses selective in transitions between adjacent levels. Numerical simulation of the implementation of the quantum-adiabatic clustering algorithm was performed on the example of partitioning a set of six points into three groups. We find the amplitudes and durations of rectangular RF pulses, as well as the durations of free evolu-tion intervals in the control pulse sequence, which made it possible to engineer a time-dependent effective Hamilto-nian in the discrete-time approximation. Also we studied the dependence of the implementation fidelity on the pa-rameters. We took quadrupole nuclei as qutrits, but the results obtained will be useful for controlling quantum pro-cessors based on qutrits represented by other systems. Spins ; Cluster analysis ; Pulse sequence ; Quadrupole ; Amplitude ; Pulse (music) ; Physics ; Adiabatic process ; Radio frequency ; Quantum ; Sequence (biology) ; Quantum mechanics ; Set (abstract data type) ; Fidelity ; Algorithm ; Topology (electrical circuits) ; Computer science ; Mathematics ; Nuclear magnetic resonance ; Condensed matter physics ; Telecommunications ; Chemistry ; Combinatorics ; Artificial intelligence Molecular spectroscopy and chirality ; Quantum Information and Cryptography ; Quantum optics and atomic interactions
Authors: Shivaraj G Gurikar
Source: ShodhKosh Journal of Visual and Performing Arts (article, 2023-12-31)
Field: Chemistry — Physical and Theoretical Chemistry

ADVANCES IN THE MEASUREMENT OF FUNDAMENTAL CONSTANTS Advances in the measurement of fundamental constants have played a pivotal role in refining our understanding of the physical universe. Fundamental constants, such as the speed of light (c), the gravitational constant (G), Planck's constant (h), and the charge of the electron (e), are crucial for the accuracy of scientific theories and models across various fields, from particle physics to cosmology. Recent innovations in experimental techniques, instrumentation, and quantum technologies have enabled significantly improved measurements of these constants, contributing to greater precision in scientific research and the redefinition of SI units. A landmark achievement in this area was the redefinition of the International System of Units (SI) in 2019, where key units, including the kilogram and the ampere, were redefined based on fixed values of fundamental constants. This development eliminated reliance on physical artifacts, ensuring greater stability and universality in measurements. Notable advancements include the use of Kibble balances for determining Planck's constant and optical lattice clocks for measuring time with unprecedented precision.Quantum technologies, such as quantum sensors and optical frequency standards, have also revolutionized fundamental constant measurements by providing greater sensitivity and accuracy. Techniques such as atom interferometry and quantum entanglement have made it possible to refine constants like the fine-structure constant (α) and the gravitational constant (G), while also testing their potential variations across space and time. These advances not only improve the precision of current measurements but also open new avenues for exploring potential new physics beyond the Standard Model. Continued progress in measurement techniques promises to deepen our understanding of the universe, providing valuable insights into the fundamental laws that govern the natural world. Computer science ; Materials science History and advancements in chemistry ; Various Chemistry Research Topics ; Scientific Measurement and Uncertainty Evaluation
Authors: Puneet Mishra | Kristian Hovde Liland
Source: Journal of Chemometrics (article, 2023-12-06)
Field: Chemistry — Analytical Chemistry

Iterative re‐weighted multilinear partial least squares modelling for robust predictive modelling Abstract Higher order data are commonly encountered in the domain of chemometrics, often generated by advanced analytical instruments. Due to the multilinear nature of the data, higher order data require different regression approaches compared with traditional two‐way data for predictive modelling. The main aim is usually to extract the rich multilinear information, which is often lost if the data are simply analysed in unfolded form. A common algorithm for multilinear predictive modelling is N‐way partial least squares (NPLS). However, a limitation of NPLS is that it inherently does not handle outlying observations, which can be detrimental to the model. This work presents a new robust multilinear predictive modelling approach based on iterative down‐weighting of the outlier observations in both predictor and response space. A key benefit of the method is that it only requires a single extra parameter to tune. In this work, the algorithm is described, and the method is demonstrated on three real multilinear data sets. In all cases, the presented method outperformed the traditional NPLS modelling regarding the root mean squared error of prediction. Multilinear map ; Weighting ; Partial least squares regression ; Outlier ; Computer science ; Overfitting ; Least-squares function approximation ; Algorithm ; Mathematics ; Artificial intelligence ; Data mining ; Machine learning ; Statistics ; Artificial neural network Spectroscopy and Chemometric Analyses ; Control Systems and Identification ; Fault Detection and Control Systems
Authors: Bo Da | Jiangwei Liu | Hideki Yoshikawa | Shigeo Tanuma
Source: Journal of Surface Analysis (article, 2023-01-01)
Field: Materials Science — Surfaces, Coatings and Films

White electron beam technique in electron-beam based techniques Electron ; Cathode ray ; Beam (structure) ; White (mutation) ; Atomic physics ; Materials science ; Physics ; Optics ; Nuclear physics ; Chemistry Electron and X-Ray Spectroscopy Techniques ; Advancements in Photolithography Techniques ; Ion-surface interactions and analysis
Authors: Alexey Busakhin | Georgiy Savenko
Source: Revista Gestão & Tecnologia (article, 2023-09-02)
Field: Materials Science — Materials Chemistry

Example of providing design parameters of smoke ventilation Ensuring the safety of people during evacuation in the event of a fire in a building is one of the highest priorities in the design of smoke ventilation systems (hereinafter SVS). Engineers are faced with the question of how to achieve the required parameters and fulfil all the relevant requirements for systems according to regulatory documentation. Often, design experience must be combined with activities directly related to supervision of compliance with the installation of a developed and released project at the facility itself. The purpose of this study is to demonstrate one of the problems in the design of SVS systems and to propose a way to solve it, based on practical experience. Documentation ; Smoke ; Ventilation (architecture) ; Risk analysis (engineering) ; Computer science ; Architectural engineering ; Event (particle physics) ; Fire safety ; Construction engineering ; Engineering ; Systems engineering ; Business ; Waste management ; Mechanical engineering Structural mechanics and materials ; Fire dynamics and safety research ; Evacuation and Crowd Dynamics
Authors: Sherin Joseph | Shajimon K. John | Kudilil Prasad Pinkymol | Jineeth Joseph | Kappamadathil Raman Muraleedharan Nair
Source: Progress In Electromagnetics Research M (article, 2023-01-01)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Multi-physics Analysis and Loss Evaluation of High Frequency Transformer with Non-sinusoidal Excitation High Frequency Transformer (HFT) acts as the key element of a Solid State Transformer (SST), which is a mandatory equipment in smartgrid system. SST replaces power frequency transformer by providing control and communication in power system. The design of an HFT matching the design of conventional distribution transformer is done in this paper. It is done by developing an iterative algorithm using Brute Force technique. The optimum design is selected by taking minimization of total owning cost as objective function. The algorithm takes eight design variables and four design constraints for shortlisting the optimum design. The optimum design developed is validated in finite element analysis software. The multi-physics analysis of the design is done by interconnecting electromagnetic, mechanical, thermal, and power electronics components of the system. The analytical and numerical analysis follow the same pattern by conducting a case study on the design of HFT with ratings 1000 kVA, 11 kV/415 V, three phases. Excitation ; Transformer ; Physics ; Computer science ; Electrical engineering ; Engineering ; Voltage ; Quantum mechanics Magnetic Properties and Applications ; Welding Techniques and Residual Stresses ; Induction Heating and Inverter Technology
Authors: Khoidul Umam | Wilarso Wilarso Arso | Asep Saepudin | Asep Dharmanto | Hilman Sholih | Aswin Domodite
Source: JOURNAL OF MECHANICAL ENGINEERING MANUFACTURES MATERIALS AND ENERGY (article, 2023-05-22)
Field: Materials Science — Materials Chemistry

Analisis Pengurangan Reject Start Pada Proses Pembuatan Pipa High Density Poly Ethylene Diameter 1.000 mm PN6 Proses produksi pembuatan pipa HDPE (High Density Poly Ethylene) yaitu terbuat dari bahan plastik jenis High Density Poly Ethylene yang memiliki melt temperatur 210 s.d 270ºC menggunakan mesin Extruder plastik. Perusahaan selalu berupaya agar menghasilkan produk yang baik dan menekan kerusakan produk atau Reject. Salah satunya adalah Reject Start, Reject Start merupakan Reject yang tidak dapat dihindari pada proses produksi pipa HDPE, tetapi Reject ini memiliki standar yang telah ditentukan oleh perusahaan. Pada proses produksi Pipa HDPE diameter 1.000 mm PN6 di Line Extruder 07 mengalami kendala Reject Start yang melebihi standar yang ditentukan oleh perusahaan yaitu 10.789 kg, sedangkan yang terjadi adalah 18.339 kg. Selisihnya yaitu 7.550 kg, jika dipersentasekan adalah 170 %. Melihat permasalahan yang terjadi di atas, perlu dilakukan analisis untuk mengetahui penyebab terjadinya Reject Start melebihi standar yang telah ditentukan. Analisis dilakukan menggunakan metode Fishbone Analysis yang akan mengetahui bagian penyebab-penyebab mana saja yang sangat berpengaruh terhadap terjadinya Reject Start melebihi standar yang telah ditentukan oleh perusahaan. Penelitian ini diharapkan dapat menurunkan Reject Start di Line Extruder Nomor 07. Dari hasil penelitian dapat diketahui bahwa masalah Reject Start di Line Extruder 07 mengalami penurunan yakni sebelum perbaikan adalah 170 % menjadi 46,6 % setelah perbaikan High-density polyethylene ; Plastics extrusion ; Extrusion ; Anti-lock braking system Material Selection and Properties ; Mechanical Engineering and Vibrations Research ; Engineering and Technology Innovations
Authors: Adam Patel | Sashin L. B. Karunarathne | Nicholas Babusis | Alexey Shashurin
Source: arXiv (Cornell University) (preprint, 2023-01-30)
Field: Chemistry — Spectroscopy

Application of Coherent Microwave Scattering and Multiphoton Ionization for Diagnostics of Electric Propulsion Systems Nonintrusive measurements of plasma properties are essential to evaluate, and numerically simulate, the in-flight performance of electric propulsion systems. As a logical first step in the development of new diagnostic techniques, this work depicts the implementation of multiphoton ionization and coherent microwave scattering (MPI-CMS) in a gridded-ion accelerator operating on rare gases. Presented studies primarily comprise photoionization spectroscopy of ground and excited state-populations of both neutrals and ions supplemented by optical emission spectroscopy and Langmuir probe derived plume properties. Results suggest the potential of MPI-CMS for non-intrusive measurements of specie number densities. Photoionization ; Atomic physics ; Microwave ; Spectroscopy ; Ionization ; Scattering ; Ion ; Excited state ; Langmuir probe ; Ion source ; Plasma ; Plasma diagnostics ; Physics ; Optics ; Nuclear physics Mass Spectrometry Techniques and Applications ; Plasma Diagnostics and Applications ; Atomic and Molecular Physics