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Original research contributions with substantial technical depth and experimental validation.
AI for Accelerated Materials Design - NeurIPS 2026
AI4Mat-NeurIPS 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, aligned with the NeurIPS conference.
Full paper
August 30, 2026
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Conference timeline
Full paperKey deadline
August 30, 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 work-in-progress with clear potential for impact.
Publicly available datasets, curated benchmarks, or evaluation protocols for AI in materials science.
Open-source software, libraries, or frameworks that enable AI research in materials science.
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026