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[2]
2025 | Published | Journal Article | IST-REx-ID: 20926 | OA
Kim, D., Wang, X., Vargas, S., Zhong, P., King, D. S., Inizan, T. J., & Cheng, B. (2025). A universal augmentation framework for long-range electrostatics in machine learning interatomic potentials. Journal of Chemical Theory and Computation. American Chemical Society. https://doi.org/10.1021/acs.jctc.5c01400
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[1]
2024 | Published | Journal Article | IST-REx-ID: 17278 | OA
Wang, X., & Cheng, B. (2024). Integrating molecular dynamics simulations and experimental data for azeotrope predictions in binary mixtures. Journal of Chemical Physics. AIP Publishing. https://doi.org/10.1063/5.0217232
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | PubMed | Europe PMC | arXiv
 

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2 Publications

Mark all

[2]
2025 | Published | Journal Article | IST-REx-ID: 20926 | OA
Kim, D., Wang, X., Vargas, S., Zhong, P., King, D. S., Inizan, T. J., & Cheng, B. (2025). A universal augmentation framework for long-range electrostatics in machine learning interatomic potentials. Journal of Chemical Theory and Computation. American Chemical Society. https://doi.org/10.1021/acs.jctc.5c01400
[Preprint] View | DOI | Download Preprint (ext.) | PubMed | Europe PMC | arXiv
 
[1]
2024 | Published | Journal Article | IST-REx-ID: 17278 | OA
Wang, X., & Cheng, B. (2024). Integrating molecular dynamics simulations and experimental data for azeotrope predictions in binary mixtures. Journal of Chemical Physics. AIP Publishing. https://doi.org/10.1063/5.0217232
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | PubMed | Europe PMC | arXiv
 

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