Keyword: machine learning

34 records found.

Advanced Science - 2023 - Uryu - Deep Learning Enables Rapid Identification of a New Quasicrystal from Multiphase Powder.pdf
Deep Learning Enables Rapid Identification of a New Quasicrystal from Multiphase Powder Diffraction Patterns
Journal article
Creator
Hirotaka Uryu (author) (Search by this author)
;
Tsunetomo Yamada (author) (Search by this author)
;
Koichi Kitahara (author) (Search by this author)
;
Alok Singh (author) (Search by this author)
ORCID SAMURAI ;
Yutaka Iwasaki (author) (Search by this author)
ORCID SAMURAI ;
Kaoru Kimura (author) (Search by this author)
National Institute for Materials Science
ORCID ;
Kanta Hiroki (author) (Search by this author)
;
Naoki Miyao (author) (Search by this author)
;
Asuka Ishikawa (author) (Search by this author)
;
Ryuji Tamura (author) (Search by this author)
;
Satoshi Ohhashi (author) (Search by this author)
;
Chang Liu (author) (Search by this author)
;
Ryo Yoshida (author) (Search by this author)
Keyword
deep learning, x-ray powder diffraction, quasicrystal, phase identification, machine learning
Date published
2023-11-14
Updated at
2024-12-13 12:30:39 +0900

Manuscript.pdf
Graph Network-Based Simulation of Multicellular Dynamics Driven by Concentrated Polymer Brush-Modified Cellulose Nanofibers
Journal article
Creator
Chiaki Yoshikawa (author) (Search by this author)
ORCID SAMURAI ;
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

_最終稿版_機械学習による光電子収量分光PYSスペクトルの自動閾値予測200629.pdf
Automatic Threshold Prediction of Photoelectron Yield Spectroscopy (PYS) by Machine Learning
Journal article
Creator
ORCID SAMURAI ;
YOSHITAKE, Michiko (author) (Search by this author)
; ORCID SAMURAI ; ORCID SAMURAI
Keyword
threshold, machine learning, photoelectron yield spectroscopy
Date published
2020-06-10
Updated at
2024-01-05 22:12:44 +0900

main.pdf
Automatic Identification and Normalisation of Physical Measurements in Scientific Literature
Journal article
Creator
ORCID ;
ROMARY, Laurent (author) (Search by this author)
ORCID ; ORCID SAMURAI ; ORCID
Keyword
tdm, physical quantities, machine learning
Date published
2019-09-23
Updated at
2022-10-03 02:00:14 +0900

manuscript.docx
Machine learning approach for the prediction of electron inelastic mean free paths
Journal article
Creator
Xun Liu (author) (Search by this author)
National Institute for Materials Science
;
Lihao Yang (author) (Search by this author)
;
Zhufeng Hou (author) (Search by this author)
;
Bo Da (author) (Search by this author)
ORCID SAMURAI ;
Kenji Nagata (author) (Search by this author)
ORCID SAMURAI ;
Hideki Yoshikawa (author) (Search by this author)
ORCID SAMURAI ;
Shigeo Tanuma (author) (Search by this author)
ORCID SAMURAI ;
Yang Sun (author) (Search by this author)
;
Zejun Ding (author) (Search by this author)
Keyword
machine learning, inelastic mean free path
Date published
2021-03-24
Updated at
2024-01-05 22:13:49 +0900

s41524-025-01671-w.pdf
Discovery of liquid crystalline polymers with high thermal conductivity using machine learning
Journal article
Creator
Hayato Maeda (author) (Search by this author)
ORCID ;
Stephen Wu (author) (Search by this author)
ORCID ;
Rika Marui (author) (Search by this author)
ORCID ;
Erina Yoshida (author) (Search by this author)
;
Kan Hatakeyama-Sato (author) (Search by this author)
;
Yuta Nabae (author) (Search by this author)
;
Shiori Nakagawa (author) (Search by this author)
;
Meguya Ryu (author) (Search by this author)
;
Ryohei Ishige (author) (Search by this author)
;
Yoh Noguchi (author) (Search by this author)
;
Yoshihiro Hayashi (author) (Search by this author)
ORCID ; ORCID SAMURAI ; ORCID SAMURAI ;
Felix Jiang (author) (Search by this author)
;
Xuan Thang Vu (author) (Search by this author)
;
Sven Ingebrandt (author) (Search by this author)
ORCID ;
Masatoshi Tokita (author) (Search by this author)
;
Junko Morikawa (author) (Search by this author)
ORCID ;
Ryo Yoshida (author) (Search by this author)
ORCID ;
Teruaki Hayakawa (author) (Search by this author)
Keyword
liquid crystalline polymer, thermal conductivity, machine learning, PoLyInfo
Date published
2025-07-02
Updated at
2025-08-19 12:30:21 +0900

Time-domain thermoreflectance technique using multiple delayed probe pulses for high-throughput data acquisition and analysis.pdf
Time-domain thermoreflectance technique using multiple delayed probe pulses for high-throughput data acquisition and analysis
Journal article
Creator
Hiroto Arima (author) (Search by this author)
National Metrology Institute of Japan (NMIJ), National Institute of Advanced Industrial Science and Technology (AIST)
;
Yuichiro Yamashita (author) (Search by this author)
;
Takashi Yagi (author) (Search by this author)
Keyword
Time-domain thermoreflectance, multiple delay, thin film, thermal effusivity, interfacial thermal resistance, machine learning
Date published
2025-12-31
Updated at
2025-07-16 16:14:58 +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