QMLMaterial─A Quantum Machine Learning Software for Material Design and Discovery-Reference-Cited by-同舟云学术

QMLMaterial─A Quantum Machine Learning Software for Material Design and Discovery

Published:2023-08-15 Issue:17 Volume:19 Page:5999-6010
ISSN:1549-9618
Container-title:Journal of Chemical Theory and Computation
language:en
Short-container-title:J. Chem. Theory Comput.

Author:

Lourenço Maicon Pierre¹^ORCID,Herrera Lizandra Barrios²,Hostaš Jiří²,Calaminici Patrizia³^ORCID,Köster Andreas M.³^ORCID,Tchagang Alain⁴^ORCID,Salahub Dennis R.²

Affiliation:

1. Departamento de Química e Física─Centro de Ciências Exatas, Naturais e da Saúde─CCENS─Universidade Federal do Espírito Santo, Alegre, Espírito Santo 29500-000, Brasil

2. Department of Chemistry, Department of Physics and Astronomy, CMS Centre for Molecular Simulation, IQST Institute for Quantum Science and Technology, Quantum Alberta, University of Calgary, 2500 University Drive NW, Calgary, Alberta T2N 1N4, Canada

3. Departamento de Química, CINVESTAV, Av. Instituto Politécnico Nacional 2508, Col. San Pedro Zacatenco, AP 14-740, México D.F.07000, México

4. Digital Technologies Research Centre, National Research Council of Canada, 1200 Montréal Road, Ottawa, Ontario K1A 0R6, Canada

Funder

Conselho Nacional de Desenvolvimento Cient?fico e Tecnol?gico

Funda??o Amaz?nia Paraense de Amparo ? Pesquisa

Consejo Nacional de Ciencia y Tecnolog?a

Natural Sciences and Engineering Research Council of Canada

Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior

Publisher

American Chemical Society (ACS)

Subject

Physical and Theoretical Chemistry,Computer Science Applications