Artificial intelligence approaches for materials-by-design of energetic materials: state-of-the-art, challenges, and future directions

no code implementations • 15 Nov 2022 • Joseph B. Choi, Phong C. H. Nguyen, Oishik Sen, H. S. Udaykumar, Stephen Baek

Specifically, methods in the literature are evaluated in terms of their capacity to learn from a small/limited number of data, computational complexity, generalizability/scalability to other material species and operating conditions, interpretability of the model predictions, and the burden of supervision/data annotation.

Active Learning Meta-Learning +2