Full Papers
Original research contributions with substantial technical depth and experimental validation.
Machine Learning/CORE Unranked
AI4Mat-ICLR 2026
AI for Accelerated Materials Design - ICLR 2026
AI4Mat-ICLR 2026 is a specialized workshop focused on the intersection of artificial intelligence and materials science, aiming to foster collaboration between researchers in machine learning and materials discovery. It serves as a platform for presenting novel AI-driven methods for materials design, characterization, and prediction, with an emphasis on reproducibility and real-world impact.
Key deadlines
Verified September 9, 2026Full paper
February 2, 2026
AoE
Conference timeline
Submission and decisions
Full paperKey deadline
February 2, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Short Papers
Concise presentations of promising preliminary results, novel ideas, or work in progress.
Reproducibility Papers
Submissions focused on reproducing and extending existing materials AI work, including code and data releases.
Research areas in scope
01
Research Topics
Machine learning for materials discoveryGenerative models for materials designPhysics-informed neural networks for materials propertiesMultimodal learning for materials dataExplainable AI for materials scienceTransfer learning across materials systemsAI for high-throughput screening and simulationData augmentation and synthetic data generation for materialsAI-driven characterization and defect detectionMaterials knowledge graphs and representation learning
Policies worth checking twice
- All submissions must be anonymized for double-blind review.
- Full papers are limited to 8 pages, short papers to 4 pages, and reproducibility papers to 6 pages, not including references.
- Dual submission to other conferences or journals is not permitted during review.
- Author lists and affiliations cannot be changed after the submission deadline.
- Authors must include a statement on the use of AI tools in the preparation of the submission.
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