Prediction of superior thermoelectric performance in unexplored doped-BiCuSeO via machine learning

首页 > 成果 > 详情

认领

导出

Link by DOI

反馈

作者信息关键词期刊信息基础信息归属信息摘要

成果类型：

期刊论文

作者：

He, Zhijian;Peng, Jinlin;Lei, Chihou;Xie, Shuhong*;Zou, Daifeng;...

通讯作者：

Xie, Shuhong;Liu, YY;Zou, DF

作者机构：

[He, Zhijian; Xie, Shuhong; Xie, SH; Liu, Yunya] Xiangtan Univ, Sch Mat Sci & Engn, Key Lab Low Dimens Mat & Applicat Technol, Minist Educ, Xiangtan 411105, Peoples R China.

[Peng, Jinlin] Hunan City Univ, Coll Informat & Elect Engn, All Solid State Energy Storage Mat & Devices Key L, Yiyang 413002, Peoples R China.

[Lei, Chihou] St Louis Univ, Dept Aerosp & Mech Engn, St Louis, MO 63103 USA.

[Zou, Daifeng] Hunan Univ Sci & Technol, Sch Phys & Elect Sci, Xiangtan 411201, Peoples R China.

通讯机构：

[Xie, SH; Liu, YY ] X

[Zou, DF ] H

Xiangtan Univ, Sch Mat Sci & Engn, Key Lab Low Dimens Mat & Applicat Technol, Minist Educ, Xiangtan 411105, Peoples R China.

Hunan Univ Sci & Technol, Sch Phys & Elect Sci, Xiangtan 411201, Peoples R China.

语种：

英文

关键词：

BiCuSeO;Thermoelectric;Machine learning;Doping;Prediction

期刊：

Materials & Design

ISSN：

0264-1275

年：

2023

卷：

229

页码：

111868

DOI：

10.1016/j.matdes.2023.111868

基金类别：

National Natural Science Foundation of China [12172318]; Hunan Provincial Natural Science Foundation of China [2021JJ10006]; Science and Technology Innovation Program of Hunan Province [2022RC3069]; Scientific Research Fund of Hunan Provincial Education Department [16A202]; Hunan Provincial Innovation Foundation for Post- graduate [CX20220529]; Provost of Saint Louis University

机构署名：

本校为其他机构

院系归属：

信息与电子工程学院

摘要：

BiCuSeO compound is a promising thermoelectric material, which has attracted many experimental stud-ies through trial-and-error approaches to improve its thermoelectric performance by element doping, such that a fast and efficient prediction of thermoelectric property for unexplored and rarely explored doped-BiCuSeO is highly desired. In this work, a machine learning (ML) model for predicting the ZT value of M element doped-BiCuSeO (Bi1-xMxCuSeO) has been established via the correlation analysis for descriptors and the comparison among different ML approaches. The results show that Gradient Bo...

反馈

产权有误：本人成果被他人认领

数据有误：数据基本信息有误

归属有误：成果的院系归属、机构署名归属有误

其他原因：

验证码：

看不清楚，换一个

确定

取消

成果认领

标题：

用户	作者	通讯作者	--
	请选择	请选择	--

确定

取消

Prediction of superior thermoelectric performance in unexplored doped-BiCuSeO via machine learning

反馈

成果认领

提示

该栏目需要登录且有访问权限才可以访问