article Machine Learning Potentials

Efficient Molecular Crystal Structure Prediction and Stability Assessment with AIMNet2 Neural Network Potentials

Kamal Singh Nayal, Dana O’Connor, Roman Zubatyuk, Dylan M. Anstine, Yi Yang, Rithwik Tom, Wenda Deng, Kehan Tang, Noa Marom, Olexandr Isayev

Crystal Growth & Design Vol. 25 (21) pp. 9092–9106 2025 2 citations

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Efficient Molecular Crystal Structure Prediction and Stability Assessment with AIMNet2 Neural Network Potentials.

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@article{Nayal2025,
  author = {Nayal, Kamal Singh and O’Connor, Dana and Zubatyuk, Roman and Anstine, Dylan M. and Yang, Yi and Tom, Rithwik and Deng, Wenda and Tang, Kehan and Marom, Noa and Isayev, Olexandr},
  title = {Efficient Molecular Crystal Structure Prediction and Stability Assessment with AIMNet2 Neural Network Potentials},
  year = {2025},
  journal = {Crystal Growth & Design},
  volume = {25},
  number = {21},
  pages = {9092--9106},
  doi = {10.1021/acs.cgd.5c01001},
  url = {http://dx.doi.org/10.1021/acs.cgd.5c01001},
  publisher = {American Chemical Society (ACS)},
  keywords = {neural network},
  researchAreas = {ml-potentials},
  highlight = {Efficient Molecular Crystal Structure Prediction and Stability Assessment with AIMNet2 Neural Network Potentials.},
  citations = {2}
}

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