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Hiori Kino
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1.
CrySPY: a crystal structure prediction tool accelerated by machine learning
Description/Abstract:
We have developed an open-source software called CrySPY, which is a crystal structure prediction tool written in Python 3, ...
Keyword:
evolutionary algorithm
,
Bayesian optimization
,
LAQA
,
crystal structure prediction
, and
first-principles calculations
Resource Type:
Article
Author:
Tomoki Yamashita
,
Shinichi Kanehira
,
Nobuya Sato
,
Hiori Kino
,
Kei Terayama
,
Hikaru Sawahata
,
Takumi Sato
,
Futoshi Utsuno
,
Koji Tsuda
,
Takashi Miyake
, and
Tamio Oguchi
Date Uploaded:
10/02/2023
Date Modified:
02/04/2024
2.
Important Descriptors and Descriptor Groups of Curie Temperatures of Rare-earth Transition-metal Binary Alloys
Description/Abstract:
We analyze Curie temperatures of rare-earth transition metal binary alloys with machine learning method. In order to select important de...
Keyword:
Curie temperature
,
binary rare-earth transition metal
,
descriptor importance
,
exhaustive search
,
hierarchical clustering
, and
subgroup relevance analysis
Resource Type:
Article
Author:
Hieu Chi Dam
,
Viet Cuong Nguyen
,
Tien Lam Pham
,
Anh Tuan Nguyen
,
Kiyoyuki Terakura
,
Takashi Miyake
, and
Hiori Kino
Date Uploaded:
10/02/2023
Date Modified:
20/03/2024
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National Institute for Materials Science
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Creative Commons BY Attribution 4.0 International
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Hiori Kino
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Takashi Miyake
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