| Neural network reactive force field for C, H, N, and O systems P Yoo, M Sakano, S Desai, MM Islam, P Liao, A Strachan npj Computational Materials 7 (1), 9, 2021 | 61 | 2021 |
| An investigation of the interactions between an E. coli bacterial quorum sensing biosensor and chitosan-based nanocapsules X Qin, C Engwer, S Desai, C Vila-Sanjurjo, FM Goycoolea Colloids and Surfaces B: Biointerfaces 149, 358-368, 2017 | 42 | 2017 |
| Molecular modeling of the microstructure evolution during carbon fiber processing S Desai, C Li, T Shen, A Strachan The Journal of Chemical Physics 147 (22), 2017 | 38 | 2017 |
| Parsimonious neural networks learn interpretable physical laws S Desai, A Strachan Scientific reports 11 (1), 12761, 2021 | 28 | 2021 |
| Crystalline and pseudo-crystalline phases of polyacrylonitrile from molecular dynamics: Implications for carbon fiber precursors T Shen, C Li, B Haley, S Desai, A Strachan Polymer 155, 13-26, 2018 | 26 | 2018 |
| Active learning and molecular dynamics simulations to find high melting temperature alloys DE Farache, JC Verduzco, ZD McClure, S Desai, A Strachan Computational Materials Science 209, 111386, 2022 | 15 | 2022 |
| Implementing a neural network interatomic model with performance portability for emerging exascale architectures S Desai, ST Reeve, JF Belak Computer Physics Communications 270, 108156, 2022 | 15 | 2022 |
| Sim2Ls: FAIR simulation workflows and data M Hunt, S Clark, D Mejia, S Desai, A Strachan Plos one 17 (3), e0264492, 2022 | 9 | 2022 |
| Learning time-dependent deposition protocols to design thin films via genetic algorithms S Desai, R Dingreville Materials & Design 219, 110815, 2022 | 8 | 2022 |
| Tuning martensitic transformations via coherent second phases in nanolaminates using free energy landscape engineering S Desai, ST Reeve, KG Vishnu, A Strachan Journal of Applied Physics 127 (12), 2020 | 6 | 2020 |
| Machine learning for materials science: Barriers to broader adoption B Boyce, R Dingreville, S Desai, E Walker, T Shilt, KL Bassett, RR Wixom, ... Matter 6 (5), 1320-1323, 2023 | 5 | 2023 |
| Rethinking materials simulations: Blending direct numerical simulations with neural operators V Oommen, K Shukla, S Desai, R Dingreville, GE Karniadakis npj Computational Materials 10 (1), 145, 2024 | 3 | 2024 |
| Trade-offs in the latent representation of microstructure evolution S Desai, A Shrivastava, M D’Elia, HN Najm, R Dingreville Acta Materialia 263, 119514, 2024 | 3 | 2024 |
| Online tools for uncertainty quantification in nanoHUB S Desai, M Hunt, A Strachan JOM 71, 2635-2645, 2019 | 3 | 2019 |
| Nanomaterial Mechanics Explorer ST Reeve, C Chow, MN Sakano, S Tang, A Belessiotis, M Wood, ... Go to reference in article, 2018 | 3 | 2018 |
| AI for Technoscientific Discovery: A Human-Inspired Architecture JY Tsao, RG Abbott, DC Crowder, S Desai, RPM Dingreville, JE Fowler, ... Journal of Creativity 34 (2), 100077, 2024 | 2 | 2024 |
| A framework for materials informatics education through workshops A Mannodi-Kanakkithodi, A McDannald, S Sun, S Desai, KA Brown, ... MRS bulletin 48 (5), 560-569, 2023 | 2 | 2023 |
| Learning incoherent light emission steering from metasurfaces using generative models PP Iyer, S Desai, S Addamane, R Dingreville, I Brener Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 2 | 2023 |
| Machine learning for materials science: Part 1 JCV Gastelum, A Strachan, S Desai Feb, 2019 | 2 | 2019 |
| Enhancing the predictive power of molecular dynamics simulations to further the materials genome initiative S Desai Purdue University, 2020 | 1 | 2020 |
Alejandro StrachanReilly Professor of Materials Engineering, Purdue University在 purdue.edu 的电子邮件经过验证
