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:
q-pac: A Python package for machine learned charge equilibration models
Martin Vondrák, Karsten Reuter, Johannes T. Margraf
The Journal of Chemical Physics (2023) Vol. 159, Iss. 5
Open Access | Times Cited: 5
Martin Vondrák, Karsten Reuter, Johannes T. Margraf
The Journal of Chemical Physics (2023) Vol. 159, Iss. 5
Open Access | Times Cited: 5
Showing 5 citing articles:
Active learning graph neural networks for partial charge prediction of metal-organic frameworks via dropout Monte Carlo
Stephan Thaler, Felix Mayr, Siby Thomas, et al.
npj Computational Materials (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 5
Stephan Thaler, Felix Mayr, Siby Thomas, et al.
npj Computational Materials (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 5
Guest editorial: Special Topic on software for atomistic machine learning
Matthias Rupp, Emine Küçükbenli, Gábor Cśanyi
The Journal of Chemical Physics (2024) Vol. 161, Iss. 6
Open Access | Times Cited: 1
Matthias Rupp, Emine Küçükbenli, Gábor Cśanyi
The Journal of Chemical Physics (2024) Vol. 161, Iss. 6
Open Access | Times Cited: 1
Developing an Implicit Solvation Machine Learning Model for Molecular Simulations of Ionic Media
Amaury Coste, Ema Slejko, Julija Zavadlav, et al.
Journal of Chemical Theory and Computation (2023) Vol. 20, Iss. 1, pp. 411-420
Open Access | Times Cited: 4
Amaury Coste, Ema Slejko, Julija Zavadlav, et al.
Journal of Chemical Theory and Computation (2023) Vol. 20, Iss. 1, pp. 411-420
Open Access | Times Cited: 4
Efficient Composite Infrared Spectroscopy: Combining the Double-Harmonic Approximation with Machine Learning Potentials
Philipp Pracht, Yuthika Pillai, Venkat Kapil, et al.
Journal of Chemical Theory and Computation (2024)
Closed Access
Philipp Pracht, Yuthika Pillai, Venkat Kapil, et al.
Journal of Chemical Theory and Computation (2024)
Closed Access
Trendbericht Theoretische Chemie 2023 (1/3): Maschinelles Lernen jenseits von Potenzialenergiehyperflächen
Johannes T. Margraf
Nachrichten aus der Chemie (2023) Vol. 71, Iss. 11, pp. 60-62
Open Access
Johannes T. Margraf
Nachrichten aus der Chemie (2023) Vol. 71, Iss. 11, pp. 60-62
Open Access
