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:
Coarse-Grained Modeling Using Neural Networks Trained on Structural Data
Mikhail Ivanov, Maksim Posysoev, Alexander P. Lyubartsev
Journal of Chemical Theory and Computation (2023) Vol. 19, Iss. 19, pp. 6704-6717
Open Access | Times Cited: 6
Mikhail Ivanov, Maksim Posysoev, Alexander P. Lyubartsev
Journal of Chemical Theory and Computation (2023) Vol. 19, Iss. 19, pp. 6704-6717
Open Access | Times Cited: 6
Showing 6 citing articles:
Future of plasma etching for microelectronics: Challenges and opportunities
G. S. Oehrlein, Stephan M. Brandstadter, Robert L. Bruce, et al.
Journal of Vacuum Science & Technology B Nanotechnology and Microelectronics Materials Processing Measurement and Phenomena (2024) Vol. 42, Iss. 4
Open Access | Times Cited: 20
G. S. Oehrlein, Stephan M. Brandstadter, Robert L. Bruce, et al.
Journal of Vacuum Science & Technology B Nanotechnology and Microelectronics Materials Processing Measurement and Phenomena (2024) Vol. 42, Iss. 4
Open Access | Times Cited: 20
On the emergence of machine-learning methods in bottom-up coarse-graining
Patrick G. Sahrmann, Gregory A. Voth
Current Opinion in Structural Biology (2025) Vol. 90, pp. 102972-102972
Closed Access
Patrick G. Sahrmann, Gregory A. Voth
Current Opinion in Structural Biology (2025) Vol. 90, pp. 102972-102972
Closed Access
Hierarchical Deep Potential with Structure Constraints for Efficient Coarse-Grained Modeling
Qi Huang, Yedi Li, Lei Zhu, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
Qi Huang, Yedi Li, Lei Zhu, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
Bayesian Analysis Reveals the Key to Extracting Pair Potentials from Neutron Scattering Data
B. Shanks, Harry W. Sullivan, Michael P. Hoepfner
The Journal of Physical Chemistry Letters (2024) Vol. 15, Iss. 51, pp. 12608-12618
Open Access | Times Cited: 1
B. Shanks, Harry W. Sullivan, Michael P. Hoepfner
The Journal of Physical Chemistry Letters (2024) Vol. 15, Iss. 51, pp. 12608-12618
Open Access | Times Cited: 1
Neural network-assisted model of interfacial fluids with explicit coarse-grained molecular structures
Shuhao Ma, Dechang Li, Xuejin Li, et al.
The Journal of Chemical Physics (2024) Vol. 161, Iss. 17
Closed Access
Shuhao Ma, Dechang Li, Xuejin Li, et al.
The Journal of Chemical Physics (2024) Vol. 161, Iss. 17
Closed Access
