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:
Enhancing the Quality and Reliability of Machine Learning Interatomic Potentials through Better Reporting Practices
Tristan Maxson, Ademola Soyemi, Benjamin W. J. Chen, et al.
The Journal of Physical Chemistry C (2024) Vol. 128, Iss. 16, pp. 6524-6537
Open Access | Times Cited: 7
Tristan Maxson, Ademola Soyemi, Benjamin W. J. Chen, et al.
The Journal of Physical Chemistry C (2024) Vol. 128, Iss. 16, pp. 6524-6537
Open Access | Times Cited: 7
Showing 7 citing articles:
Transferable Water Potentials Using Equivariant Neural Networks
Tristan Maxson, Tibor Szilvási
The Journal of Physical Chemistry Letters (2024) Vol. 15, Iss. 14, pp. 3740-3747
Open Access | Times Cited: 6
Tristan Maxson, Tibor Szilvási
The Journal of Physical Chemistry Letters (2024) Vol. 15, Iss. 14, pp. 3740-3747
Open Access | Times Cited: 6
Influence of aluminium distribution on the diffusion mechanisms and pairing of [Cu(NH3)2]+ complexes in Cu-CHA
Joachim D. Bjerregaard, Martin Votsmeier, Henrik Grönbeck
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
Joachim D. Bjerregaard, Martin Votsmeier, Henrik Grönbeck
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
ArcaNN: automated enhanced sampling generation of training sets for chemically reactive machine learning interatomic potentials
Rolf David, Miguel de la Puente, Axel Gomez, et al.
Digital Discovery (2024)
Open Access | Times Cited: 5
Rolf David, Miguel de la Puente, Axel Gomez, et al.
Digital Discovery (2024)
Open Access | Times Cited: 5
Machine Learning Interatomic Potentials for Catalysis
Deqi Tang, Rangsiman Ketkaew, Sandra Luber
Chemistry - A European Journal (2024) Vol. 30, Iss. 60
Open Access | Times Cited: 3
Deqi Tang, Rangsiman Ketkaew, Sandra Luber
Chemistry - A European Journal (2024) Vol. 30, Iss. 60
Open Access | Times Cited: 3
Virtual Special Issue on Machine Learning in Physical Chemistry Volume 2
Andrew L. Ferguson, Jim Pfaendtner
The Journal of Physical Chemistry A (2024) Vol. 128, Iss. 27, pp. 5225-5228
Closed Access
Andrew L. Ferguson, Jim Pfaendtner
The Journal of Physical Chemistry A (2024) Vol. 128, Iss. 27, pp. 5225-5228
Closed Access
Virtual Special Issue on Machine Learning in Physical Chemistry Volume 2
Andrew L. Ferguson, Jim Pfaendtner
The Journal of Physical Chemistry C (2024) Vol. 128, Iss. 27, pp. 11079-11082
Closed Access
Andrew L. Ferguson, Jim Pfaendtner
The Journal of Physical Chemistry C (2024) Vol. 128, Iss. 27, pp. 11079-11082
Closed Access
Virtual Special Issue on Machine Learning in Physical Chemistry Volume 2
Andrew L. Ferguson, Jim Pfaendtner
The Journal of Physical Chemistry B (2024) Vol. 128, Iss. 27, pp. 6435-6438
Closed Access
Andrew L. Ferguson, Jim Pfaendtner
The Journal of Physical Chemistry B (2024) Vol. 128, Iss. 27, pp. 6435-6438
Closed Access
