20 records found. Displaying records 1 to 10.
Machine-Learning-Driven Discovery of Mn4+-Doped Red-Emitting Fluorides with Short Excited-State Lifetime and High Efficiency for Mini Light-Emitting Diode Displays
- Journal article
- Creator
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Hong Ming (author) (Search by this author)
https://orcid.org/0000-0003-0118-1897
(unauthenticated)
;
;Yayun Zhou (author) (Search by this author)Maxim S. Molokeev (author) (Search by this author)
https://orcid.org/0000-0002-8297-0945
(unauthenticated)
;
;Chuang Zhang (author) (Search by this author);Lin Huang (author) (Search by this author);Yuanjing Wang (author) (Search by this author)Hong-Tao Sun (author) (Search by this author)
;
Enhai Song (author) (Search by this author)
https://orcid.org/0000-0003-1666-0532
(unauthenticated)
;
Qinyuan Zhang (author) (Search by this author)
https://orcid.org/0000-0001-6544-4735
(unauthenticated)
- Keyword
- luminescent materials, machine learning
- Date published
- 2024-05-06
- Updated at
- 2025-04-03 08:30:20 +0900
Development of an AI-based acoustic disturbance-detection method for robotic arc welding processes
- Journal article
- Creator
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Houichi Kitano (author) (Search by this author)National Institute for Materials Science
;
Masaki Kobayashi (author) (Search by this author)National Institute for Materials Science
;
Masahiko Demura (author) (Search by this author)National Institute for Materials Science
- Keyword
- Acoustic sensing, in-process monitoring, gas metal arc welding, disturbance detection, machine learning, explainable AI, smart manufacturing
- Date published
- 2026-12-31
- Updated at
- 2026-06-25 09:51:40 +0900
Multiobjective Solid Electrolyte Design of Tetragonal and Cubic Inverse-Perovskites for All-Solid-State Lithium-Ion Batteries by High-Throughput Density Functional Theory Calculations and AI-Driven Methods
- Journal article
- Creator
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JALEM Randy (author) (Search by this author)Research Center for Energy and Environmental Materials (GREEN)/Battery and Cell Materials Field/Interface Electrochemistry Group, National Institute for Materials Science
;
TATEYAMA Yoshitaka (author) (Search by this author)Research Center for Energy and Environmental Materials (GREEN)/Battery and Cell Materials Field/Interface Electrochemistry Group, National Institute for Materials Science
;
TAKADA Kazunori (author) (Search by this author)Research Center for Energy and Environmental Materials (GREEN)/Battery and Cell Materials Field/Solid-State Battery Group, National Institute for Materials Science
;
JANG Seonghoon (author) (Search by this author)Research Center for Energy and Environmental Materials (GREEN)/Battery and Cell Materials Field/Interface Electrochemistry Group, National Institute for Materials Science
- Keyword
- all solid state batteries, solid electrolytes, density functional theory, materials informatics, machine learning, novel materials search
- Date published
- 2023-09-07
- Updated at
- 2024-08-28 08:30:15 +0900
Machine-learning-assisted discovery of polymers with high thermal conductivity using a molecular design algorithm
- Journal article
- Creator
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;Stephen Wu (author) (Search by this author);Yukiko Kondo (author) (Search by this author);Masa-aki Kakimoto (author) (Search by this author);Bin Yang (author) (Search by this author);Hironao Yamada (author) (Search by this author)Isao Kuwajima (author) (Search by this author)
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Guillaume Lambard (author) (Search by this author)National Institute for Materials Science
;
;Kenta Hongo (author) (Search by this author)Yibin Xu (author) (Search by this author)
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;Junichiro Shiomi (author) (Search by this author);Christoph Schick (author) (Search by this author);Junko Morikawa (author) (Search by this author)Ryo Yoshida (author) (Search by this author)
- Keyword
- machine learning, polymer, thermal conductivity, molecular design
- Date published
- 2019-06-21
- Updated at
- 2024-11-21 16:31:23 +0900
Pitfalls in Artificial Intelligence Powered Discovery Due to Electrocatalyst Evaluation Methodologies
- Journal article
- Creator
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;Abraham Castro Garcia (author) (Search by this author)Ken Sakaushi (author) (Search by this author)National Institute for Materials Science
- Keyword
- machine learning
- Date published
- 2025-09-04
- Updated at
- 2026-04-30 12:01:11 +0900
Development of a method to evaluate strain in weld solidification using in-situ observations with high-brightness synchrotron X-rays
- Journal article
- Creator
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Houichi Kitano (author) (Search by this author)
;
Tomoya Nagira (author) (Search by this author)
;
Fumiyoshi Yoshinaka (author) (Search by this author)
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Takahiro Sawaguchi (author) (Search by this author)
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;Takayuki Yamashita (author) (Search by this author);Yasuhiro Aoki (author) (Search by this author)Hidetoshi Fujii (author) (Search by this author)
- Keyword
- in-situ observation, synchrotron X-ray, welding technology, optical flow, machine learning, Strain evaluation method;
- Date published
- 2024-12-31
- Updated at
- 2024-11-13 12:30:30 +0900
Machine learning prediction of Young's modulus in multi component titanium based biomedical alloys using extended thermodynamic descriptors
- Journal article
- Creator
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;Hassan Ahmad (author) (Search by this author)Department of Metallurgy and Materials Engineering, Pakistan Institute of Engineering and Applied Sciences (PIEAS);Muhammad Haider (author) (Search by this author);Zafar Iqbal (author) (Search by this author);Muhammad Zarif (author) (Search by this author)Syed Mujtaba Ul Hassan (author) (Search by this author)
- Keyword
- Titanium alloys, machine learning, biomedical alloys, Young’s modulus prediction
- Date published
- 2026-12-31
- Updated at
- 2026-07-08 16:58:38 +0900
Rapid discovery of new Eu2+-activated phosphors with a designed luminescence color using a data-driven approach
- Journal article
- Creator
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Yukinori Koyama (author) (Search by this author)Research and Services Division of Materials Data and Integrated System, National Institute for Materials Science
;
;Hidekazu Ikeno (author) (Search by this author)Osaka Metropolitan University;Masamichi Harada (author) (Search by this author)Research Center for Functional Materials, National Institute for Materials Science;Shiro Funahashi (author) (Search by this author)Research Center for Functional Materials, National Institute for Materials ScienceTakashi Takeda (author) (Search by this author)Research Center for Functional Materials, National Institute for Materials Science
;
Naoto Hirosaki (author) (Search by this author)Research Center for Functional Materials, National Institute for Materials Science
- Keyword
- phosphor, materials design, machine learning, luminescence, emission spectrum, Eu2+
- Date published
- 2022-11-29
- Updated at
- 2024-01-05 22:11:23 +0900
Data-driven study of the enthalpy of mixing in the liquid phase
- Journal article
- Creator
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Guillaume Deffrennes (author) (Search by this author)
https://orcid.org/0000-0002-3752-2537
(unauthenticated)
;
;Bengt Hallstedt (author) (Search by this author);Taichi Abe (author) (Search by this author);Quentin Bizot (author) (Search by this author);Evelyne Fischer (author) (Search by this author);Jean-Marc Joubert (author) (Search by this author);Kei Terayama (author) (Search by this author)Ryo Tamura (author) (Search by this author)
- Keyword
- enthalpy of mixing, machine learning, liquid phase
- Date published
- 2024-09-25
- Updated at
- 2024-10-05 08:30:08 +0900
Graph Network-Based Simulation of Multicellular Dynamics Driven by Concentrated Polymer Brush-Modified Cellulose Nanofibers
- Journal article
- Creator
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Chiaki Yoshikawa (author) (Search by this author)National Institute for Materials Science
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;Duc Anh Nguyen (author) (Search by this author);Tadashi Nakaji-Hirabayashi (author) (Search by this author);Ichigaku Takigawa (author) (Search by this author)Hiroshi Mamitsuka (author) (Search by this author)
- Keyword
- cellulose nanofiber, concentrated polymer brush, hMSC, self-assembly, machine learning
- Date published
- 2024-04-08
- Updated at
- 2024-08-27 08:30:31 +0900