T. Rabczuk

Composite shell fracture is now separable into distinct fibre, inter-fibre, and interaction mechanisms, unlocking learned constitutive models and revealing curvature-driven through-thickness asymmetry.

Structural simulations can now rigorously bound worst-case material behavior by considering entire sets of admissible constitutive laws, revealing that the most critical experimental tests for reducing uncertainty may not be intuitive.

A mesh-free deep energy method achieves near-perfect accuracy in brittle fracture modeling, outperforming traditional approaches on complex crack patterns.

Physics-informed neural operators can now learn continually without forgetting, thanks to a simple replay strategy that preserves past knowledge while rapidly adapting to new out-of-distribution data.