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cs.AI2026
PACE: A Neuro-Symbolic Framework for Plausible and Actionable Counterfactual Explanations
Pavel Iakovets, Liyanapathiranage Sudeepika Wajirakumari Samarathunga, Martin Thomas Horsch +1
Counterfactual explanations explain machine learning predictions by identifying minimal input changes that would alter a model's decision. Although many existing methods successful…
cond-mat.mtrl-sci2026★ 31 cited
Artificial Intelligence in Materials Science and Engineering: Current Landscape, Key Challenges, and Future Trajectorie
Iman Peivaste, Salim Belouettar, Francesco Mercuri +15
Artificial Intelligence is rapidly transforming materials science and engineering, offering powerful tools to navigate complexity, accelerate discovery, and optimize material desig…