| 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 | 12 | 2022 |
| Linking Stress-Rupture Properties to Processing Parameters of HAYNES® 718 Nickel Superalloy Using Machine Learning DE Farache, GM Nishibuchi, S Elizondo, JG Gulley, A Post, K Stubbs, ... TMS Annual Meeting & Exhibition, 383-398, 2023 | | 2023 |
| Role of Dislocations on Martensitic Transformation and Microstructure Through Molecular Dyanmic Simulations DF Farache Purdue University, 2023 | | 2023 |
| Data-driven design of halide perovskites using high-throughput computations and machine learning J Yang, PT Manganaris, DE Farache, AK Mannodi Kanakkithodi APS March Meeting Abstracts 2022, D69. 003, 2022 | | 2022 |
| Role of Dislocations on Martensitic Transformation Temperatures and Microstructure: A Molecular Dynamics Study DE Farache, S Mishra, S Tripathi, A Strachan Available at SSRN 4509756, 0 | | |
