Keyword: machine learning

34 records found.

s41524-025-01851-8 (1).pdf
Networking autonomous material exploration systems through transfer learning
Journal article
Creator
Naoki Yoshida (author) (Search by this author)
;
Yutaro Iwabuchi (author) (Search by this author)
;
Yasuhiko Igarashi (author) (Search by this author)
;
Yuma Iwasaki (author) (Search by this author)
ORCID SAMURAI
Keyword
machine learning
Date published
2025-12-09
Updated at
2025-12-13 08:30:26 +0900

nanomaterials-3261714-Revision_T.pdf
Machine Learning as a “Catalyst” for Advancements in Carbon Nanotube Research
Journal article
Creator
Guohai Chen (author) (Search by this author)
ORCID ; ORCID SAMURAI
Keyword
machine learning, carbon nanotube, in situ TEM, growth mechanism
Date published
2024-10-22
Updated at
2024-12-24 13:58:23 +0900

AdvMater.25_37_e10239.pdf
Artificial Intelligence‐Driven Nanoarchitectonics for Smart Targeted Drug Delivery
Journal article
Creator
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)
ORCID SAMURAI ;
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

d2ma00881e.pdf
Rapid discovery of new Eu2+-activated phosphors with a designed luminescence color using a data-driven approach
Journal article
Creator
Yukinori Koyama (author) (Search by this author)
Research and Services Division of Materials Data and Integrated System, National Institute for Materials Science
ORCID SAMURAI ;
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 Science
;
Takashi Takeda (author) (Search by this author)
Research Center for Functional Materials, National Institute for Materials Science
ORCID SAMURAI ;
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

2025 ogawa APL final.pdf
Er-driven magnetic tunability in FePt thin films investigated via high-throughput experiments and microstructure analysis for future HAMR media
Journal article
Creator
Daisuke Ogawa (author) (Search by this author)
ORCID SAMURAI ;
Yuma Iwasaki (author) (Search by this author)
ORCID SAMURAI ;
Jun Uzuhashi (author) (Search by this author)
ORCID SAMURAI ;
Yuta Sasaki (author) (Search by this author)
ORCID SAMURAI ;
Masato Kotsugi (author) (Search by this author)
;
Yukiko K. Takahashi (author) (Search by this author)
ORCID SAMURAI
Keyword
heat-assisted magnetic recording, FePt, combinatorial, high throughput, machine learning, rare-earth doping
Date published
2025-06-23
Updated at
2025-07-11 08:30:48 +0900

Predicting the surface roughness of an electrodeposited copper film using a machine learning technique.pdf
Predicting the surface roughness of an electrodeposited copper film using a machine learning technique
Journal article
Creator
Ryo Tamura (author) (Search by this author)
Center for Basic Research on Materials/Data-driven Materials Research Field/Data-driven Algorithm Team, National Institute for Materials Science
ORCID SAMURAI ;
Ryuichi Inaba (author) (Search by this author)
MITSUBISHI MATERIALS CORPORATION
;
Mami Watanabe (author) (Search by this author)
MITSUBISHI MATERIALS CORPORATION
;
Yutaro Mori (author) (Search by this author)
MITSUBISHI MATERIALS CORPORATION
;
Makoto Urushihara (author) (Search by this author)
MITSUBISHI MATERIALS CORPORATION
;
Kenji Yamaguchi (author) (Search by this author)
MITSUBISHI MATERIALS CORPORATION
;
Shoichi Matsuda (author) (Search by this author)
Research Center for Energy and Environmental Materials (GREEN)/Battery and Cell Materials Field/Automated Electrochemical Experiments Team, National Institute for Materials Science
ORCID SAMURAI
Keyword
electrodeposited copper film, surface roughness, machine learning
Date published
2024-12-31
Updated at
2024-10-31 16:30:15 +0900

3-12-Revised Manuscript without Any Highlighting.docx
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
Hong Ming (author) (Search by this author)
ORCID ;
Yayun Zhou (author) (Search by this author)
;
Maxim S. Molokeev (author) (Search by this author)
ORCID ;
Chuang Zhang (author) (Search by this author)
;
Lin Huang (author) (Search by this author)
;
Yuanjing Wang (author) (Search by this author)
; ORCID SAMURAI ;
Enhai Song (author) (Search by this author)
ORCID ;
Qinyuan Zhang (author) (Search by this author)
ORCID
Keyword
luminescent materials, machine learning
Date published
2024-05-06
Updated at
2025-04-03 08:30:20 +0900

Advanced Science - 2025 - Si - Capacity Estimation and Knee Point Prediction Using Electrochemical Impedance Spectroscopy.pdf
Capacity Estimation and Knee Point Prediction Using Electrochemical Impedance Spectroscopy for Lithium Metal Battery Degradation via Machine Learning
Journal article
Creator
Qianli Si (author) (Search by this author)
National Institute for Materials Science
;
Shoichi Matsuda (author) (Search by this author)
ORCID SAMURAI ;
Yasunobu Ando (author) (Search by this author)
;
Toshiyuki Momma (author) (Search by this author)
;
Yoshitaka Tateyama (author) (Search by this author)
ORCID SAMURAI
Keyword
lithium metal battery, machine learning
Date published
2025-05-05
Updated at
2025-09-09 12:30:20 +0900

Dataset
Supercon 2 Dataset
Dataset
Creator
ORCID
Keyword
superconductors, machine learning, dataset, tdm, materials science
Date published
2022-09-10
Updated at
2022-10-18 10:11:01 +0900

74_Roadmap_J Phys Energy 2023_Roadmap on molecular modelling of electrochemical energy materials.pdf
2023 Roadmap on molecular modelling of electrochemical energy materials
Journal article
Creator
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)
ORCID SAMURAI ;
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