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- In Copyright (11)
- Creative Commons BY-NC Attribution-NonCommercial 4.0 International (4)
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35 records found.
Acquiring and transferring comprehensive catalyst knowledge through integrated high-throughput experimentation and automatic feature engineering
- Journal article
- Creator
-
;Ayu Fujiwara (author) (Search by this author)Graduate School of Advanced Science and Technology, Japan Advanced Institute of Science and Technology;Sunao Nakanowatari (author) (Search by this author)Graduate School of Advanced Science and Technology, Japan Advanced Institute of Science and Technology;Yohei Cho (author) (Search by this author)Graduate School of Advanced Science and Technology, Japan Advanced Institute of Science and TechnologyToshiaki Taniike (author) (Search by this author)Graduate School of Advanced Science and Technology, Japan Advanced Institute of Science and Technology
- Keyword
- Catalyst informatics, machine learning, high-throughput experimentation, descriptor, oxidative coupling of methane
- Date published
- 2025-12-31
- Updated at
- 2025-07-16 16:17:04 +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
Computational discovery of stable Na-ion sulfide solid electrolytes with high conductivity at room temperature
- Journal article
- Creator
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Seong-Hoon Jang (author) (Search by this author)
https://orcid.org/0000-0001-6026-636X
(unauthenticated)
;
Randy Jalem (author) (Search by this author)National Institute for Materials Science
;
Yoshitaka Tateyama (author) (Search by this author)National Institute for Materials Science
- Keyword
- all solid state batteries, solid electrolytes, high-throughput first-principles calculation, computational materials search, machine learning, sodium ion conductors
- Date published
- 2024-08-05
- Updated at
- 2024-10-10 16:30:52 +0900
Alloys innovation through machine learning: a statistical literature review
- Journal article
- Creator
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;Alireza Valizadeh (author) (Search by this author)Ryoji Sahara (author) (Search by this author)National Institute for Materials Science
;
Maaouia Souissi (author) (Search by this author)
- Keyword
- Alloy development, machine learning, data-driven research, materials informatics, Materials Genome Initiative, Materials databases
- Date published
- 2024-12-31
- Updated at
- 2024-06-25 12:30:16 +0900
Multi-Objective Optimization of Adhesive Joint Strength and Elastic Modulus of Adhesive Epoxy with Active Learning
- Journal article
- Creator
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Paripat Kraisornkachit (author) (Search by this author)
;
Masanobu Naito (author) (Search by this author)
;
Chao Kang (author) (Search by this author)
https://orcid.org/0000-0002-9567-0976
(unauthenticated)
;
Chiaki Sato (author) (Search by this author)
- Keyword
- experimental testing, multi-objective optimization, epoxy, adhesive, elastic modulus, machine learning, active learning
- Date published
- 2024-06-12
- Updated at
- 2025-01-07 08:30:26 +0900
Supercon 2 Dataset
- Dataset
- Creator
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Foppiano, Luca (author) (Search by this author)
- Keyword
- superconductors, machine learning, dataset, tdm, materials science
- Date published
- 2022-09-10
- Updated at
- 2022-10-18 10:11:01 +0900
Artificial Intelligence‐Driven Nanoarchitectonics for Smart Targeted Drug Delivery
- Journal article
- Creator
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;Hayeon Bae (author) (Search by this author);Hyunsub Ji (author) (Search by this author);Konstantin Konstantinov (author) (Search by this author);Ronald Sluyter (author) (Search by this author)Katsuhiko Ariga (author) (Search by this author)National Institute for Materials Science
;
;Yong Ho Kim (author) (Search by this author)Jung Ho Kim (author) (Search by this author)
- Keyword
- artificial intelligence, in silico optimization, machine learning, nanocarrier design, nanomedicine, targeted drug delivery
- Date published
- 2025-08-07
- Updated at
- 2025-10-28 12:30:13 +0900
2023 Roadmap on molecular modelling of electrochemical energy materials
- Journal article
- Creator
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;Chao Zhang (author) (Search by this author);Jun Cheng (author) (Search by this author);Yiming Chen (author) (Search by this author);Maria K Y Chan (author) (Search by this author);Qiong Cai (author) (Search by this author);Rodrigo P Carvalho (author) (Search by this author);Cleber F N Marchiori (author) (Search by this author);Daniel Brandell (author) (Search by this author);C Moyses Araujo (author) (Search by this author);Ming Chen (author) (Search by this author);Xiangyu Ji (author) (Search by this author);Guang Feng (author) (Search by this author);Kateryna Goloviznina (author) (Search by this author);Alessandra Serva (author) (Search by this author);Mathieu Salanne (author) (Search by this author)Toshihiko Mandai (author) (Search by this author)National Institute for Materials Science (NIMS)
;
;Tomooki Hosaka (author) (Search by this author);Mirna Alhanash (author) (Search by this author);Patrik Johansson (author) (Search by this author);Yun-Ze Qiu (author) (Search by this author);Hai Xiao (author) (Search by this author);Michael Eikerling (author) (Search by this author);Ryosuke Jinnouchi (author) (Search by this author);Marko M Melander (author) (Search by this author);Georg Kastlunger (author) (Search by this author);Assil Bouzid (author) (Search by this author);Alfredo Pasquarello (author) (Search by this author);Seung-Jae Shin (author) (Search by this author);Minho M Kim (author) (Search by this author);Hyungjun Kim (author) (Search by this author);Kathleen Schwarz (author) (Search by this author)Ravishankar Sundararaman (author) (Search by this author)
- Keyword
- electrochemical interfaces, density-functional theory, molecular dynamics simulation, electrochemical energy storage, machine learning, electrocatalysis
- Date published
- 2023-10-01
- Updated at
- 2024-03-22 00:53:39 +0900
Machine Learning—Guided Design of Biomass‐Based Porous Carbon for Aqueous Symmetric Supercapacitors
- Journal article
- Creator
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Manickam Minakshi (author) (Search by this author)
https://orcid.org/0000-0001-6558-8317
(unauthenticated)
;
;Apsana Sharma (author) (Search by this author);Ferdous Sohel (author) (Search by this author)Almantas Pivrikas (author) (Search by this author)
https://orcid.org/0000-0002-7713-2154
(unauthenticated)
;
Pragati A. Shinde (author) (Search by this author)
https://orcid.org/0000-0003-1730-2374
(unauthenticated)
;
Katsuhiko Ariga (author) (Search by this author)
;
Lok Kumar Shrestha (author) (Search by this author)
- Keyword
- biomass, carbon, dopant, energy, machine learning, storage
- Date published
- 2025-10-09
- Updated at
- 2025-10-21 16:06:10 +0900
Capacity Estimation and Knee Point Prediction Using Electrochemical Impedance Spectroscopy for Lithium Metal Battery Degradation via Machine Learning
- Journal article
- Creator
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;Qianli Si (author) (Search by this author)National Institute for Materials ScienceShoichi Matsuda (author) (Search by this author)National Institute for Materials Science
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;Yasunobu Ando (author) (Search by this author);Toshiyuki Momma (author) (Search by this author)Yoshitaka Tateyama (author) (Search by this author)National Institute for Materials Science
- Keyword
- lithium metal battery, machine learning
- Date published
- 2025-05-05
- Updated at
- 2025-09-09 12:30:20 +0900