Full Papers
Original research contributions with substantial technical depth and experimental validation.
Machine Learning/CORE Unranked
AI4Mat-NeurIPS 2026
AI for Accelerated Materials Design - NeurIPS 2026
AI4Mat-NeurIPS 2026 is a workshop co-located with NeurIPS 2026 that focuses on the intersection of artificial intelligence and materials science. It aims to bring together researchers from machine learning, data science, and materials disciplines to present and discuss novel AI-driven methods for materials discovery, characterization, and design.
Key deadlines
Verified September 9, 2026Full paper
August 30, 2026
AoE
Conference timeline
Submission and decisions
Full paperKey deadline
August 30, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Short Papers
Preliminary results, novel ideas, or work in progress with clear potential for impact.
Datasets and Benchmarks
Publicly available datasets, benchmarks, or tools that advance reproducibility in AI4Mat.
Position Papers
Thought-provoking perspectives on challenges, opportunities, or ethical considerations in AI for materials science.
Research areas in scope
01
Research Areas
Machine learning for materials discoveryGenerative models for materials designMultimodal learning for materials dataPhysics-informed neural networks for materialsExplainable AI for materials scienceDigital twins and simulation accelerationHigh-throughput screening and optimizationMaterials property predictionAI for characterization techniques (e.g., TEM, XRD, spectroscopy)Data curation and benchmark datasets for materials
Policies worth checking twice
- Submissions must be anonymized for double-blind review.
- Full papers are limited to 8 pages, short papers to 4 pages, excluding references.
- Dual submission to other peer-reviewed venues is not allowed during review.
- Author lists and affiliations cannot be changed after the submission deadline.
- All submissions must include a statement on the use of AI tools in research and writing.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Official conference siteSubmissionsSubmissions - AI4Mat-ICLR-2026Submissions - AI4Mat-NeurIPS-2025Submissions - AI4Mat-ICLR-2025Submissions - AI4Mat-NeurIPS-2024
Last verified September 9, 2026