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:
A first-principles exploration of the conformational space of sodiated pyranose assisted by neural network potentials
Huu Trong Phan, Pei‐Kang Tsou, Po‐Jen Hsu, et al.
Physical Chemistry Chemical Physics (2023) Vol. 25, Iss. 7, pp. 5817-5826
Closed Access | Times Cited: 5
Huu Trong Phan, Pei‐Kang Tsou, Po‐Jen Hsu, et al.
Physical Chemistry Chemical Physics (2023) Vol. 25, Iss. 7, pp. 5817-5826
Closed Access | Times Cited: 5
Showing 5 citing articles:
A first-principles exploration of the conformational space of sodiated di-saccharides assisted by semi-empirical methods and neural network potentials
Huu Trong Phan, Pei‐Kang Tsou, Po‐Jen Hsu, et al.
Physical Chemistry Chemical Physics (2024) Vol. 26, Iss. 12, pp. 9556-9567
Closed Access | Times Cited: 2
Huu Trong Phan, Pei‐Kang Tsou, Po‐Jen Hsu, et al.
Physical Chemistry Chemical Physics (2024) Vol. 26, Iss. 12, pp. 9556-9567
Closed Access | Times Cited: 2
Stable and Accurate Atomistic Simulations of Flexible Molecules using Conformationally Generalisable Machine Learned Potentials
Christopher D. Williams, Jas Kalayan, Neil A. Burton, et al.
(2024)
Open Access | Times Cited: 2
Christopher D. Williams, Jas Kalayan, Neil A. Burton, et al.
(2024)
Open Access | Times Cited: 2
Searching low-energy conformers of neutral and protonated di-, tri-, and tetra-glycine with first-principle accuracy assisted by the use of neural network potentials
Hieu C. Dong, Po‐Jen Hsu, Jer‐Lai Kuo
Physical Chemistry Chemical Physics (2024) Vol. 26, Iss. 14, pp. 11126-11139
Closed Access | Times Cited: 1
Hieu C. Dong, Po‐Jen Hsu, Jer‐Lai Kuo
Physical Chemistry Chemical Physics (2024) Vol. 26, Iss. 14, pp. 11126-11139
Closed Access | Times Cited: 1
Stable and accurate atomistic simulations of flexible molecules using conformationally generalisable machine learned potentials
Christopher D. Williams, Jas Kalayan, Neil A. Burton, et al.
Chemical Science (2024) Vol. 15, Iss. 32, pp. 12780-12795
Open Access | Times Cited: 1
Christopher D. Williams, Jas Kalayan, Neil A. Burton, et al.
Chemical Science (2024) Vol. 15, Iss. 32, pp. 12780-12795
Open Access | Times Cited: 1
Hydrogen Bond Network Structures of Protonated 2,2,2-Trifluoroethanol/Ethanol Mixed Clusters Probed by Infrared Spectroscopy Combined with a Deep-learning Structure Sampling Approach: The Origin of the Linear Type Network Preference in Protonated Fluoroalcohol Clusters†
Po‐Jen Hsu, Atsuya Mizuide, Jer‐Lai Kuo, et al.
Physical Chemistry Chemical Physics (2024) Vol. 26, Iss. 43, pp. 27751-27762
Closed Access
Po‐Jen Hsu, Atsuya Mizuide, Jer‐Lai Kuo, et al.
Physical Chemistry Chemical Physics (2024) Vol. 26, Iss. 43, pp. 27751-27762
Closed Access
