Full Papers
Original research contributions with comprehensive results and analysis.
Machine Learning/CORE Unranked
AI&PDE 2026
AI&PDE: ICLR 2026 Workshop on AI and Partial Differential Equations
The AI&PDE 2026 workshop focuses on the intersection of Artificial Intelligence and Partial Differential Equations, bringing together researchers to present and discuss innovative methods, applications, and theoretical advances in this interdisciplinary field. The event aims to foster collaboration between the AI and mathematical modeling communities.
Key deadlines
Verified September 9, 2026Full paper
February 11, 2026
AoE
Workshop timeline
Submission and decisions
Full paperKey deadline
February 11, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Short Papers
Preliminary results, work-in-progress, or focused technical insights.
Journal Track
Extended versions of papers suitable for submission to a companion journal.
Research areas in scope
01
Topics
Machine Learning for PDEsPhysics-Informed Neural NetworksDeep Learning for Scientific ComputingNumerical Methods Enhanced by AIAI-driven Surrogate ModelingInverse Problems and AIAI for PDE Constrained OptimizationUncertainty Quantification with AIMultiscale and Multiphysics Modeling with AIAI in Computational Fluid DynamicsAI for Material Science and EngineeringInterpretability and Explainability of AI Models in PDE Contexts
Policies worth checking twice
- Submissions must be anonymized for double-blind review.
- Full papers are limited to 10 pages, short papers to 5 pages, both in Springer LNCS format.
- Dual submission to other conferences or journals is not permitted 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.
Last verified September 9, 2026