Machine Learning Boosts the Design and Discovery of Nanomaterials-Reference-Cited by-同舟云学术

Machine Learning Boosts the Design and Discovery of Nanomaterials

Published:2021-04-27 Issue:18 Volume:9 Page:6130-6147
ISSN:2168-0485
Container-title:ACS Sustainable Chemistry & Engineering
language:en
Short-container-title:ACS Sustainable Chem. Eng.

Author:

Jia Yuying¹^ORCID,Hou Xuan¹^ORCID,Wang Zhongwei¹^ORCID,Hu Xiangang¹^ORCID

Affiliation:

1. Key Laboratory of Pollution Processes and Environmental Criteria (Ministry of Education)/Tianjin Key Laboratory of Environmental Remediation and Pollution Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China

Funder

Ministry of Science and Technology of the People's Republic of China

National Natural Science Foundation of China

Higher Education Discipline Innovation Project

Publisher

American Chemical Society (ACS)

Subject

Renewable Energy, Sustainability and the Environment,General Chemical Engineering,Environmental Chemistry,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acssuschemeng.1c00483

Reference157 articles.

1. Nanograined Half-Heusler Semiconductors as Advanced Thermoelectrics: An Ab Initio High-Throughput Statistical Study