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Zhufeng Hou
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Machine learning approach for the prediction of electron inelastic mean free paths
Description/Abstract:
The prediction of electron inelastic mean free paths (IMFPs) from simple material parameters is a challenging problem in studies using el...
Keyword:
inelastic mean free path
and
machine learning
Resource Type:
Article
Author:
Xun Liu
,
Lihao Yang
,
Zhufeng Hou
,
Bo Da
,
Kenji Nagata
,
Hideki Yoshikawa
,
Shigeo Tanuma
,
Yang Sun
, and
Zejun Ding
Date Uploaded:
11/04/2023
Measurement of the Low-Energy Electron Inelastic Mean Free Path in Monolayer Graphene
Description/Abstract:
Measuring the electron-transport properties of substrate-supported nanomaterials with the traditional two-point comparison method is diff...
Keyword:
four-point probe technique
,
inelastic mean free path
, and
monolayer graphene
Resource Type:
Article
Author:
Bo Da
,
Yang Sun
,
Zhufeng Hou
,
Jiangwei Liu
,
Nguyen Thanh Cuong
,
Kazuhito Tsukagoshi
,
Hideki Yoshikawa
,
Shigeo Tanuma
,
Jin Hu
,
Zhaoshun Gao
, and
Zejun Ding
Date Uploaded:
04/04/2023
Date Modified:
05/04/2023
Physical and chemical descriptors for predicting interfacial thermal resistance
Description/Abstract:
Heat transfer at interfaces plays a critical role in material design and device performance. Higher interfacial thermal resistances (ITRs...
Keyword:
interfacial thermal resistance, machine learning, database, descriptor
Resource Type:
Article
Author:
Yen-Ju Wu
,
Tianzhuo Zhan
,
Zhufeng Hou
,
Lei Fang
, and
Yibin Xu
Date Uploaded:
21/03/2023
Structure prediction of boron-doped graphene by machine learning
Description/Abstract:
Heteroatom doping has endowed graphene with manifold aspects of material properties and boosted its applications. The atomic structure de...
Keyword:
Materials design
and
Monte Carlo tree search
Resource Type:
Article
Author:
Hou, Zhufeng
,
Tsuda, Koji
, and
Dieb, Thaer M.
Journal:
The Journal of Chemical Physics
Date Uploaded:
02/10/2020
Date Modified:
16/10/2020
MDTS: automatic complex materials design using Monte Carlo tree search
Description/Abstract:
Complex materials design is often represented as a black-box combinatorial optimization problem. In this paper, we present a novel python...
Keyword:
Monte Carlo tree search
and
materials design
Resource Type:
Article
Author:
Ju, Shenghong
,
Tsuda, Koji
,
Shiomi, Junichiro
,
Yoshizoe, Kazuki
,
Dieb, Thaer M.
, and
Hou, Zhufeng
Journal:
Science and Technology of Advanced Materials
Date Uploaded:
02/10/2020
Date Modified:
16/10/2020
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5
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Monte Carlo tree search
2
inelastic mean free path
2
Materials design
1
four-point probe technique
1
interfacial thermal resistance, machine learning, database, descriptor
1
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Language
English
5
Publisher
American Physical Society (APS)
2
AIP Publishing
1
Springer Science and Business Media LLC
1
Taylor & Francis
1
Resource type
Article
5
Visibility
open
5
Rights Statement Sim
Creative Commons BY Attribution 4.0 International
3
In Copyright
2
Date
2017
1
2018
1
Author
Zhufeng Hou
3
Bo Da
2
Dieb, Thaer M.
2
Hideki Yoshikawa
2
Hou, Zhufeng
2
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License
https://creativecommons.org/licenses/by/4.0/
2
Journal
Science and Technology of Advanced Materials
1
The Journal of Chemical Physics
1