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Leveraging Segmentation of Physical Units through a Newly Open Source Corpus
Leveraging Segmentation of Physical Units through a Newly Open Source Corpus
Photographs of deformed areas after fiber fuse ignition
Liquid electrolyte informatics using an exhaustive search with linear regression
Machine Learning-Based Experimental Design in Materials Science
MDTS: automatic complex materials design using Monte Carlo tree search
Structure prediction of boron-doped graphene by machine learning
Monte Carlo tree search for materials design and discovery
Examples of SQS (special quasirandom structure) models for arbitrary binary bcc (body ...
Materials metadata: as a custom schema, as directories, or in a data package
Automatic Experimental Data Collection System Using a Wireless LAN Capable SD Card as ...
Prediction and optimization of epoxy adhesive strength from a small dataset through ac...
Microbubble flows in superwettable fluidic channels
SuperMat: Construction of a linked annotated dataset from superconductors-related publ...
SuperMat: Construction of a linked annotated dataset from superconductors-related publ...
First-principles calculations of optical constants
Free Analysis and Visualization Programs for Electrochemical Impedance Spectroscopy Co...
DICE common message format schema
MDR metadata list
A universal Bayesian inference framework for complicated creep constitutive equations
Data-based selection of creep constitutive models for high-Cr heat-resistant steel
Emergent dynamics of neuromorphic nanowire networks
Environmentally friendly recycling system for epoxy resin with dynamic covalent bonding
Global snapshot of the effects of the COVID-19 pandemic on the research activities of ...
Strengthening epoxy adhesives at elevated temperatures based on dynamic disulfide bonds
Mechanochromism of dynamic disulfide bonds as a chromophoric indicator of adhesion str...
材料データプラットフォームDICE2.0 - データ創出−蓄積−利用−連携の基盤
NIMSʼs Materials Data Platform DICE and its future direction
NIMS Materials Data Repositoryにおける研究データへのDOI登録運用
Datasets of aluminum alloys in 5000, 6000, and 7000 series.
オープンサイエンス時代の研究者プロフィールサービス ―研究活動の可視化のためにやるべきことはなにか?―
Supercon 2 Dataset
Original data for Fig.4.8 in a NIMS Monograph titled "fiber fuse"
Rapid discovery of new Eu2+-activated phosphors with a designed luminescence color usi...
Materials Data Platform: a constellation of systems to promote materials data-oriented...
Continuous real-time O 1s core XPS spectra of initial O2 molecule adsorption on polar ...
Virtual heat treatment for γ-γ′ two-phase Ni-Al alloy on the materials Integration sys...
First-principles phonon calculations with phonopy and phono3py
LO-mode phonon of KCl and NaCl at 300 K by inelastic x-ray scattering measurements and...
First-principles study of the reconstruction of MgM2O4 (M = Mn, Fe, Co) spinel surface
A material dictionary database to extract information on permanent magnets from scient...
A high voltage aqueous proton battery using an optimized operation of a MoO3 positive ...
Function Decomposition Tree with Causality-First Perspective and Systematic Descriptio...
Evidence-based data mining method to reveal similarities between materials based on ph...
Evidence-based recommender system for high-entropy alloys
Automatic exhaustive calculations of large material space by Korringa-Kohn-Rostoker co...
Important Descriptors and Descriptor Groups of Curie Temperatures of Rare-earth Transi...
CrySPY: a crystal structure prediction tool accelerated by machine learning
Continuous real-time O 1s core XPS spectra of H2O adsorption on +c Ga-face and m-plane...
材料データプラットフォームのための協働型材料語彙システム展開
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MDR phonon calculation database
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Lattice thermal conductivity calculation datasets for 103 binary compounds by finite displacement method
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The history of DICE and NIMS Digital Library
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MDR SuperCon Datasheet
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Silver (Ag) nanowire coated with polyvinilpirrolydone (PVP)
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aluminum alloys
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organic solvents
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TODOROKI, Shin-ichi
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Atsushi Togo
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Ikumu Watanabe
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Kosuke Minami
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Genki Yoshikawa
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Ta-Te Chen
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Masashi Ishii
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Center for Basic Research on Materials
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Japan Aerospace Exploration Agency
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