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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:

Recent advances in describing and driving crystal nucleation using machine learning and artificial intelligence
Eric R. Beyerle, Ziyue Zou, Pratyush Tiwary
Current Opinion in Solid State and Materials Science (2023) Vol. 27, Iss. 4, pp. 101093-101093
Open Access | Times Cited: 16

Showing 16 citing articles:

Enhanced Sampling of Crystal Nucleation with Graph Representation Learnt Variables
Ziyue Zou, Pratyush Tiwary
The Journal of Physical Chemistry B (2024) Vol. 128, Iss. 12, pp. 3037-3045
Open Access | Times Cited: 11
Is the Local Ion Density Sufficient to Drive NaCl Nucleation from the Melt and Aqueous Solution?
Ruiyu Wang, Shams Mehdi, Ziyue Zou, et al.
The Journal of Physical Chemistry B (2024) Vol. 128, Iss. 4, pp. 1012-1021
Open Access | Times Cited: 10
Applications of machine learning in surfaces and interfaces
Shaofeng Xu, Jing‐Yuan Wu, Ying Guo, et al.
Chemical Physics Reviews (2025) Vol. 6, Iss. 1
Open Access | Times Cited: 1
Thermodynamics-inspired explanations of artificial intelligence
Shams Mehdi, Pratyush Tiwary
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 8
Divergence among Local Structure, Dynamics, and Nucleation Outcome in Heterogeneous Nucleation of Close-Packed Crystals
Tiago S. Domingues, Sarwar Hussain, Amir Haji‐Akbari
The Journal of Physical Chemistry Letters (2024) Vol. 15, Iss. 5, pp. 1279-1287
Closed Access | Times Cited: 4
Estimating Position-Dependent and Anisotropic Diffusivity Tensors from Molecular Dynamics Trajectories: Existing Methods and Future Outlook
Tiago S. Domingues, Ronald R. Coifman, Amir Haji‐Akbari
Journal of Chemical Theory and Computation (2024) Vol. 20, Iss. 11, pp. 4427-4455
Open Access | Times Cited: 4
Review of supercooling suppression of phase change materials based on nanoparticles
Yuguo Gao, Yanan Zhao, Xinyu Wang, et al.
Thermochimica Acta (2025), pp. 179936-179936
Closed Access
Machine learning of slow collective variables and enhanced sampling via spatial techniques
Tuğçe Gökdemir, Jakub Rydzewski
Chemical Physics Reviews (2025) Vol. 6, Iss. 1
Open Access
Machine Learning of Slow Collective Variables and Enhanced Sampling via Spatial Techniques
Tuğçe Gökdemir, Jakub Rydzewski
(2025)
Open Access
Advancements in CNT research: Integrating machine learning with microscopic simulations, macroscopic techniques, and application of performance prediction and functional optimization
Dianming Chu, Chenyu Gao, Zongchao Ji, et al.
Materials Today Chemistry (2025) Vol. 45, pp. 102616-102616
Closed Access
Enhanced polymorph metastability drives glycine nucleation in aqueous salt solutions
Ruiyu Wang, Pratyush Tiwary
Proceedings of the National Academy of Sciences (2025) Vol. 122, Iss. 15
Open Access
Machine Learning Classification of Local Environments in Molecular Crystals
Daisuke Kuroshima, Michael Kilgour, Mark E. Tuckerman, et al.
Journal of Chemical Theory and Computation (2024) Vol. 20, Iss. 14, pp. 6197-6206
Open Access | Times Cited: 3
A Deep Learning-Driven Sampling Technique to Explore the Phase Space of an RNA Stem-Loop
Ayush Gupta, Heng Ma, Arvind Ramanathan, et al.
Journal of Chemical Theory and Computation (2024) Vol. 20, Iss. 20, pp. 9178-9189
Open Access | Times Cited: 2
Graph Neural Network-State Predictive Information Bottleneck (GNN-SPIB) approach for learning molecular thermodynamics and kinetics
Ziyue Zou, Dedi Wang, Pratyush Tiwary
Digital Discovery (2024) Vol. 4, Iss. 1, pp. 211-221
Open Access | Times Cited: 2
A Deep Learning-Driven Sampling Technique to Explore the Phase Space of an RNA Stem-Loop
Ayush Gupta, Heng Ma, Arvind Ramanathan, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Directional solidification of Cu with dispersed W nanoparticles: A molecular dynamics study in the context of additive manufacturing
Quentin Bizot, O. Politano, F. Baras, et al.
Materialia (2024) Vol. 36, pp. 102140-102140
Open Access
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