Zhuoran Qiao
发表
Multi-task learning for electronic structure to predict and explore molecular potential energy surfaces
pdf
Anima Anandkumar,
Frederick R. Manby,
Thomas F. Miller,
2020,
ArXiv.
Richard Baraniuk,
Anima Anandkumar,
Chaowei Xiao,
2022,
International Conference on Learning Representations.
T. Anthopoulos,
M. Nugraha,
Filip Aniés,
2021,
Polymer.
Anima Anandkumar,
Weili Nie,
Zhuoran Qiao,
2022,
ArXiv.
John D. McCalpin,
Rommie E. Amaro,
David J. Hardy,
2022,
The international journal of high performance computing applications.
Panagiota Kafourou,
Filip Aniés,
Flurin D. Eisner,
2022,
ACS applied materials & interfaces.
A. Dimitrakopoulou-Strauss,
T. Anthopoulos,
Filip Aniés,
2022,
Small.
Y. Gao,
Yuheng Zhao,
Zhuoran Qiao,
2019,
The journal of physical chemistry letters.
Anima Anandkumar,
Shengchao Liu,
Chaowei Xiao,
2022,
Nat. Mac. Intell..
Richard Baraniuk,
Anima Anandkumar,
Chaowei Xiao,
2022,
ArXiv.
Anders S. Christensen,
Anima Anandkumar,
F. Manby,
2021,
Proceedings of the National Academy of Sciences of the United States of America.
Frederick R. Manby,
Animashree Anandkumar,
Thomas F. Miller,
2020,
The Journal of chemical physics.
Thomas F. Miller,
Anders S. Christensen,
Anima Anandkumar,
2021,
ArXiv.
Thomas F. Miller,
Anders S. Christensen,
Daniel G. A. Smith,
2021,
The Journal of chemical physics.
Richard Baraniuk,
Anima Anandkumar,
Chaowei Xiao,
2022,
ICLR.
John D. McCalpin,
James C. Phillips,
Rommie E. Amaro,
2021,
bioRxiv.
Anima Anandkumar,
Weili Nie,
Zhuoran Qiao,
2022,
Nature Machine Intelligence.
John D. McCalpin,
Rommie E. Amaro,
David J. Hardy,
2022,
Int. J. High Perform. Comput. Appl..
Jun Zhang,
Lijiang Yang,
Y. Gao,
2019,
The Journal of chemical physics.
Y. Gao,
W. Xie,
Zhuoran Qiao,
2019,
Chemical Physics Letters.
J. Nelson,
J. Durrant,
Xinhui Lu,
2023,
ACS energy letters.
A. Dimitrakopoulou-Strauss,
M. Heeney,
C. Chochos,
2023,
Science advances.