264 citations · 1.5k across the 33 of their papers we have counts for
4 papers · 1 filter
Self-Supervised Learning of Universal Latent Spaces for Operator Learning
Sepehr Mousavi, Levi Lingsch, Siddhartha Mishra +1
Neural operators fit their representation of functions to the task they are trained on, so every new task rebuilds a reduced space from labeled data. Following the self-supervised…
An associated model of Coulomb friction based on the real area of contact
Manon Thbaut, Laura De Lorenzis
Coulomb friction is a non-associated law: it contains a threshold that depends on the contact pressure, i.e. a stress that is not conjugate to any internal variable, hence it admit…
On phase-field regularization in dynamic fracture with brittle and cohesive formulations
Jonas Heinzmann, Francesco Vicentini, Pietro Carrara +1
Phase-field models of fracture are widely used for simulating crack nucleation and propagation, yet the role of the phase-field regularization in the dynamic regime is not fully un…
Imposing Boundary Conditions on Neural Operators via Learned Function Extensions
Sepehr Mousavi, Siddhartha Mishra, Laura De Lorenzis
Neural operators have emerged as powerful surrogates for the solution of partial differential equations (PDEs), yet their ability to handle general, highly variable boundary condit…