 Constrained Synthesis with Projected Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2024 |
 Denoising diffusion algorithm for inverse design of microstructures with
fine-tuned nonlinear material propertiesComputer Methods in Applied Mechanics and Engineering (CMAME), 2023 |
 Artificial intelligence approaches for materials-by-design of energetic
materials: state-of-the-art, challenges, and future directionsPropellants, explosives, pyrotechnics (PEP), 2022 |
 A physics-aware deep learning model for energy localization in
multiscale shock-to-detonation simulations of heterogeneous energetic
materialsPropellants, explosives, pyrotechnics (PEP), 2022 |
 Overview: Computer vision and machine learning for microstructural
characterization and analysisMetallurgical and Materials Transactions. A (Metall. Mater. Trans. A), 2020 |
