OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Four-Dimensional-Spacetime Atomistic Artificial Intelligence Models
Fuchun Ge, Lina Zhang, Yi-Fan Hou, et al.
The Journal of Physical Chemistry Letters (2023) Vol. 14, Iss. 34, pp. 7732-7743
Open Access | Times Cited: 7
Fuchun Ge, Lina Zhang, Yi-Fan Hou, et al.
The Journal of Physical Chemistry Letters (2023) Vol. 14, Iss. 34, pp. 7732-7743
Open Access | Times Cited: 7
Showing 7 citing articles:
MLatom 3: A Platform for Machine Learning-Enhanced Computational Chemistry Simulations and Workflows
Pavlo O. Dral, Fuchun Ge, Yi-Fan Hou, et al.
Journal of Chemical Theory and Computation (2024) Vol. 20, Iss. 3, pp. 1193-1213
Open Access | Times Cited: 28
Pavlo O. Dral, Fuchun Ge, Yi-Fan Hou, et al.
Journal of Chemical Theory and Computation (2024) Vol. 20, Iss. 3, pp. 1193-1213
Open Access | Times Cited: 28
Machine-Learned Kohn–Sham Hamiltonian Mapping for Nonadiabatic Molecular Dynamics
Mohammad Shakiba, Alexey V. Akimov
Journal of Chemical Theory and Computation (2024) Vol. 20, Iss. 8, pp. 2992-3007
Closed Access | Times Cited: 10
Mohammad Shakiba, Alexey V. Akimov
Journal of Chemical Theory and Computation (2024) Vol. 20, Iss. 8, pp. 2992-3007
Closed Access | Times Cited: 10
Energy-conserving molecular dynamics is not energy conserving
Lina Zhang, Yi-Fan Hou, Fuchun Ge, et al.
Physical Chemistry Chemical Physics (2023) Vol. 25, Iss. 35, pp. 23467-23476
Open Access | Times Cited: 11
Lina Zhang, Yi-Fan Hou, Fuchun Ge, et al.
Physical Chemistry Chemical Physics (2023) Vol. 25, Iss. 35, pp. 23467-23476
Open Access | Times Cited: 11
Physics-Informed Neural Networks and Beyond: Enforcing Physical Constraints in Quantum Dissipative Dynamics
Arif Ullah, Yu Huang, Ming Yang, et al.
Digital Discovery (2024)
Open Access | Times Cited: 3
Arif Ullah, Yu Huang, Ming Yang, et al.
Digital Discovery (2024)
Open Access | Times Cited: 3
MLQD: A package for machine learning-based quantum dissipative dynamics
Arif Ullah, Pavlo O. Dral
(2023)
Open Access | Times Cited: 1
Arif Ullah, Pavlo O. Dral
(2023)
Open Access | Times Cited: 1
MLQD: A package for machine learning-based quantum dissipative dynamics
Arif Ullah, Pavlo O. Dral
(2023)
Open Access | Times Cited: 1
Arif Ullah, Pavlo O. Dral
(2023)
Open Access | Times Cited: 1
MLQD: A package for machine learning-based quantum dissipative dynamics
Arif Ullah, Pavlo O. Dral
(2023)
Open Access
Arif Ullah, Pavlo O. Dral
(2023)
Open Access
