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OpenAlex Citation Counts

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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:

DeePMD-kit v2: A software package for deep potential models
Jinzhe Zeng, Duo Zhang, Denghui Lu, et al.
The Journal of Chemical Physics (2023) Vol. 159, Iss. 5
Open Access | Times Cited: 188

Showing 1-25 of 188 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: 24
Mechanism of Charge Transport in Lithium Thiophosphate
Lorenzo Gigli, Davide Tisi, Federico Grasselli, et al.
Chemistry of Materials (2024) Vol. 36, Iss. 3, pp. 1482-1496
Open Access | Times Cited: 13
Multiscale Modeling of Aqueous Electric Double Layers
Maximilian Becker, Philip Loche, Majid Rezaei, et al.
Chemical Reviews (2023) Vol. 124, Iss. 1, pp. 1-26
Open Access | Times Cited: 28
Accurate and Transferable Machine Learning Potential for Molecular Dynamics Simulation of Sodium Silicate Glasses
Marco Bertani, Thibault Charpentier, Francesco Faglioni, et al.
Journal of Chemical Theory and Computation (2024) Vol. 20, Iss. 3, pp. 1358-1370
Closed Access | Times Cited: 11
TorchMD-Net 2.0: Fast Neural Network Potentials for Molecular Simulations
Raúl P. Peláez, Guillem Simeon, Raimondas Galvelis, et al.
Journal of Chemical Theory and Computation (2024) Vol. 20, Iss. 10, pp. 4076-4087
Open Access | Times Cited: 10
Neural Network-Based Sum-Frequency Generation Spectra of Pure and Acidified Water Interfaces with Air
Miguel de la Puente, Axel Gomez, Damien Laage
The Journal of Physical Chemistry Letters (2024) Vol. 15, Iss. 11, pp. 3096-3102
Open Access | Times Cited: 10
Nuclear quantum effects in the acetylene:ammonia plastic co-crystal
Atul C. Thakur, Richard C. Remsing
The Journal of Chemical Physics (2024) Vol. 160, Iss. 2
Open Access | Times Cited: 7
Tunable Ferroelectric Topological Defects on 2D Topological Surfaces: Complex Strain Engineering Skyrmion‐Like Polar Structures in 2D Materials
Bo Xu, Zhanpeng Gong, Jingran Liu, et al.
Advanced Functional Materials (2024) Vol. 34, Iss. 26
Open Access | Times Cited: 7
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
Long-range proton and hydroxide ion transfer dynamics at the water/CeO2 interface in the nanosecond regime: reactive molecular dynamics simulations and kinetic analysis
Taro Kobayashi, Tatsushi Ikeda, Akira Nakayama
Chemical Science (2024) Vol. 15, Iss. 18, pp. 6816-6832
Open Access | Times Cited: 7
Prebiotic chemical reactivity in solution with quantum accuracy and microsecond sampling using neural network potentials
Zakarya Benayad, Rolf David, Guillaume Stirnemann
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 23
Open Access | Times Cited: 7
Thermoelastic properties of bridgmanite using deep-potential molecular dynamics
Tianqi Wan, Chenxing Luo, Yang Sun, et al.
Physical review. B./Physical review. B (2024) Vol. 109, Iss. 9
Open Access | Times Cited: 6
Thermal transport of glasses via machine learning driven simulations
Paolo Pegolo, Federico Grasselli
Frontiers in Materials (2024) Vol. 11
Open Access | Times Cited: 6
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
Neural network potential-based molecular investigation of pollutant formation of ammonia and ammonia-hydrogen combustion
Zhihao Xing, Xi Jiang
Chemical Engineering Journal (2024) Vol. 489, pp. 151492-151492
Open Access | Times Cited: 6
Dissecting the hydrogen bond network of water: Charge transfer and nuclear quantum effects
Mischa Flór, David M. Wilkins, Miguel de la Puente, et al.
Science (2024) Vol. 386, Iss. 6726
Closed Access | Times Cited: 6
Deep potential molecular dynamics simulations of low-temperature plasma-surface interactions
Andreas Kounis-Melas, Joseph R. Vella, Athanassios Z. Panagiotopoulos, et al.
Journal of Vacuum Science & Technology A Vacuum Surfaces and Films (2025) Vol. 43, Iss. 1
Closed Access
Application of Modern Artificial Intelligence Techniques in the Development of Organic Molecular Force Fields
Junmin Chen, Qian Gao, Miaofei Huang, et al.
Physical Chemistry Chemical Physics (2025)
Closed Access
Boosting the melting point record to 4431 K: Simulated with machine learning potential at SCAN accuracy
Fu‐Zhi Dai, Yifen Xu, Jidong Hu, et al.
Journal of the American Ceramic Society (2025)
Closed Access
Dynamical properties of hydrogen fluid at high pressures
G. Gliaudelis, V. G. Luk’yanchuk, N. M. Chtchelkatchev, et al.
The Journal of Chemical Physics (2025) Vol. 162, Iss. 2
Closed Access
Dielectric profile at the Pt(111)/water interface
Jiaxin Zhu, Jun Cheng, Katharina Doblhoff-Dier
The Journal of Chemical Physics (2025) Vol. 162, Iss. 2
Closed Access
Distinct creep regimes of methane hydrates predicted by a monatomic water model
Henrik Andersen Sveinsson, Pinqiang Cao
Physical Review Research (2025) Vol. 7, Iss. 1
Open Access
Insights into the Atomic Mechanism of Lithium-Ion Diffusion in Li6PS5Cl via a Machine Learning Potential
Jiafeng Chen, Mandi Fang, Qian Wu, et al.
Chemistry of Materials (2025)
Closed Access
Suitability of Available Interatomic Potentials for Sn to Model Its 2D Allotropes
Marcin Maździarz
Journal of Computational Chemistry (2025) Vol. 46, Iss. 2
Open Access
Machine Learning Quantum Mechanical/Molecular Mechanical Potentials: Evaluating Transferability in Dihydrofolate Reductase-Catalyzed Reactions
Abdul Raafik Arattu Thodika, Xiaoliang Pan, Yihan Shao, et al.
Journal of Chemical Theory and Computation (2025)
Closed Access
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