Mini-symposium S11

S11: From Lab to Production: Models and Methods Making Industrial Impact

Co-chairs: 

Mattia Montanari (PhysicsX & Oxford University)*

Keywords: Multiphysics; Coupled problems; FEM; Partitioned schemes; Smart materials.

ABSTRACT

This minisymposium bridges the gap between computational research and industrial practice by showcasing methods that have been genuinely tested in real-world industrial settings. We welcome presentations spanning the full spectrum of deployed computational techniques—from established approaches like Gaussian processes to cutting-edge neural operators and large language models (LLM) — with emphasis on their actual performance, adoption challenges, and impact on day-to-day industrial operations across sectors including fluids, mechanics, chemistry, energy systems, and manufacturing. Critically, we encourage discussions of both successes and failures: techniques that showed promise in research but faced barriers to industrial adoption provide equally valuable lessons for the community.

Objectives: This minisymposium facilitates genuine dialogue between academic researchers and industrial practitioners. Young researchers will gain insights into building impactful research roadmaps by learning from veterans' experiences—including honest accounts of what didn't work and why. Seasoned academics will discover how AI and computational methods are truly being adopted in industry, moving beyond hype to understand practical implementation challenges, computational constraints, and integration with existing workflows. Success will be measured by balanced participation from both academia and industry, fostering discussions that lead to new collaborations grounded in practical needs and research excellence.