Accurate prediction of band gap of materials using stacking machine learning model-Reference-Cited by-同舟云学术

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Accurate prediction of band gap of materials using stacking machine learning model

Published:2022-01 Issue: Volume:201 Page:110899
ISSN:0927-0256
Container-title:Computational Materials Science
language:en
Short-container-title:Computational Materials Science

Author:

Wang Teng,Zhang Kefei,Thé Jesse,Yu Hesheng

Funder

National Natural Science Foundation of China

Jiangsu Province Department of Education

Jiangsu Province Department of Human Resources and Social Security

Publisher

Elsevier BV

Subject

Computational Mathematics,General Physics and Astronomy,Mechanics of Materials,General Materials Science,General Chemistry,General Computer Science

Reference81 articles.

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4. Comparison of Ball Milling-Hydrothermal and Hydrothermal Methods for Synthesis of Zno Nanostructures and Evaluation of Their Photocatalytic Performance;Bazazi;J. Ind. Eng. Chem.,2018

5. Decontamination and Disinfection of Water by Solar Photocatalysis: Recent Overview and Trends;Malato;Catal. Today,2009

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