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cs.AI2026
A Computationally Feasible Framework for Causal Probabilistic Explanation
Rafal Urbaniak, Sam Witty, Daniel Waxman +7
Explaining why a specific outcome occurred, and which inputs deserve the blame or credit, is central to philosophical, scientific, and policy analysis. Existing tools split into tw…
cond-mat.mtrl-sci2026
Bridging electrode preparation and electrocatalyst performance with physics-based causal AI
Evelyna Wang, Linda Hung, Sam Witty +2
State-of-the-art artificial intelligence (AI) and Machine-Learning (ML) tools have not yet enabled rapid design of next-generation materials. Detailed physical understanding of how…