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Unveiling the principle descriptor for predicting the electron inelastic mean free path based on a machine learning framework
Description/Abstract:
The TPP-2M formula is the most popular empirical formula for the estimation of the electron inelastic mean free paths (IMFPs) in solids f...
Keyword:
LASSO
,
inelastic mean free path
, and
machine learning
Resource Type:
Article
Author:
Xun Liu
,
Zhufeng Hou
,
Dabao Lu
,
Bo Da
,
Hideki Yoshikawa
,
Shigeo Tanuma
,
Yang Sun
, and
Zejun Ding
Journal:
Science and Technology of Advanced Materials
Date Uploaded:
05/09/2024
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
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inelastic mean free path
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machine learning
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LASSO
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four-point probe technique
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monolayer graphene
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English
3
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American Physical Society (APS)
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Informa UK Limited
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3
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3
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2
Creative Commons BY Attribution 4.0 International
1
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Bo Da
3
Hideki Yoshikawa
3
Shigeo Tanuma
3
Yang Sun
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National Natural Science Foundation of China
1
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Science and Technology of Advanced Materials
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