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Original research contributions with substantial technical depth and experimental validation.
AI for Accelerated Materials Design - ICLR 2026
AI4Mat-ICLR 2026 is a workshop focused on the intersection of artificial intelligence and materials science, aiming to foster collaboration between researchers in machine learning and materials discovery. It provides a platform for presenting novel AI-driven methods for materials design, characterization, and property prediction, with an emphasis on reproducibility and real-world impact.
Full paper
February 2, 2026
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February 2, 2026 · AoE
Paper fit
A strong submission should clearly identify its contribution and evaluate it appropriately.
Original research contributions with substantial technical depth and experimental validation.
Preliminary results, novel ideas, or focused case studies with clear potential for impact.
Curated datasets, standardized benchmarks, or evaluation protocols for AI in materials science.
Work focused on reproducing or validating prior results in AI4Mat, including failed replications and lessons learned.
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026