Announcement: PhysicsX Remote Talk

Engineering is undergoing a fundamental shift. AI is no longer a point solution for accelerating isolated simulations -- it is becoming a core layer of the engineering stack, reshaping how physical systems are designed, tested, and brought to production.

In this talk, Nico and Douglas will share how PhysicsX is moving beyond narrow, task-specific surrogates toward Large Physics Models (LPMs). Using external aerodynamics as a concrete example, they will showcase a model trained on a large and diverse corpus of vehicle geometries that delivers real-time aerodynamic intelligence, generalizes to new concepts with minimal fine-tuning, and compresses development cycles from months to weeks.

Douglas will highlight the core research advances underpinning this work, while Nico will connect it to a broader vision of AI-native engineering -- where design, simulation, and manufacturing form a seamless continuum, and physics AI augments human judgment at scale. The event will close with an extended Q&A and a lightning talk on how the models perform on benchmarks designed by industry to replicate real-world engineering challenges.