| Recent advances and applications of deep learning methods in materials science K Choudhary, B DeCost, C Chen, A Jain, F Tavazza, R Cohn, CW Park, ... npj Computational Materials 8 (1), 59, 2022 | 574 | 2022 |
| Developing an improved crystal graph convolutional neural network framework for accelerated materials discovery CW Park, C Wolverton Physical Review Materials 4 (6), 063801, 2020 | 329 | 2020 |
| Accurate and scalable graph neural network force field and molecular dynamics with direct force architecture CW Park, M Kornbluth, J Vandermause, C Wolverton, B Kozinsky, ... npj Computational Materials 7 (1), 73, 2021 | 126* | 2021 |
| Recent advances and applications of deep learning methods in materials science. npj Computational Materials, 8 (1): 59 K Choudhary, B DeCost, C Chen, A Jain, F Tavazza, R Cohn, CW Park, ... URL: https://doi. org/10.1038/s41524-022-00734-6, doi 10, 2022 | 52 | 2022 |
| Scale-invariant machine-learning model accelerates the discovery of quaternary chalcogenides with ultralow lattice thermal conductivity K Pal, CW Park, Y Xia, J Shen, C Wolverton npj Computational Materials 8 (1), 48, 2022 | 38 | 2022 |
| Autonomous Experimentation Systems for Materials Development: A Community Perspective. Matter 2021, 4 (9), 2702–2726 E Stach, B DeCost, AG Kusne, J Hattrick-Simpers, KA Brown, KG Reyes, ... | 17 | |
| Recent advances and applications of deep learning methods in materials science, npj Comput. Mater. 8 (1)(2022) K Choudhary, B DeCost, C Chen, A Jain, F Tavazza, R Cohn, CW Park, ... | 11 | |
| Recent advances and applications of deep learning methods in materials science. npj Comput Mater 8, 59 (2022) K Choudhary, B DeCost, C Chen, A Jain, F Tavazza, R Cohn, CW Park, ... | 10 | |
| Score-based denoising for atomic structure identification T Hsu, B Sadigh, N Bertin, CW Park, J Chapman, V Bulatov, F Zhou npj Computational Materials 10 (1), 155, 2024 | 5 | 2024 |
| Accurate and scalable graph neural network force field and molecular dynamics with direct force architecture. npj Computational Materials, 7 (1): 1–9, May 2021 CW Park, M Kornbluth, J Vandermause, C Wolverton, B Kozinsky, ... ISSN, 0 | 5 | |
| Wide-ranging predictions of new stable compounds powered by recommendation engines SD Griesemer, B Baldassarri, R Zhu, J Shen, K Pal, CW Park, ... Science Advances 11 (1), eadq1431, 2025 | | 2025 |
| Graph neural network force field computational algorithms for molecular dynamics computer simulations CW Park, J Mailoa, M Kornbluth, G Samsonidze, KIM Soo, K Gadelrab, ... US Patent 11,817,184, 2023 | | 2023 |
| Accelerating Materials Study and Discovery through Machine Learning CW Park Northwestern University, 2022 | | 2022 |
| Intermediate temperature solid oxide fuel cell cathode material CW Park, J Mailoa, KIM Soo, L Cheng US Patent 11,152,625, 2021 | | 2021 |
| Utilizing Convolutional Neural Networks to Predict Properties of Inorganic Compounds CW Park, C Wolverton APS March Meeting Abstracts 2018, R12. 003, 2018 | | 2018 |