587 citations · 1.8k across the 21 of their papers we have counts for
21 papers
Measuring qualitative change: A variational score for tracking dynamical shifts in partial differential equations
Joseph J. Pollacco, Jonathan Wong, Navonil Neogi +2
Partial differential equations (PDEs) regulate the behaviour of countless spatiotemporal systems in the physical and life sciences. In many cases, they encode the coupling between…
PDE foundation models are skillful AI weather emulators for the Martian atmosphere
Johannes Schmude, Sujit Roy, Liping Wang +10
We show that AI foundation models that are pretrained on numerical solutions to a diverse corpus of partial differential equations can be adapted and fine-tuned to obtain skillful…
Physics-Informed Neural Network Super Resolution for Advection-Diffusion Models
Chulin Wang, Eloisa Bentivegna, Wang Zhou +2
Physics-informed neural networks (NN) are an emerging technique to improve spatial resolution and enforce physical consistency of data from physics models or satellite observations…
Direct Higgs-gravity interaction and stability of our Universe
Vincenzo Branchina, Eloisa Bentivegna, Filippo Contino +1
The Higgs effective potential becomes unstable at approximately GeV, and if only standard model interactions are considered, the lifetime of the electroweak vacuum tu…
Black-Hole Lattices as Cosmological Models
Eloisa Bentivegna, Timothy Clifton, Jessie Durk +2
The search for solutions of Einstein's equations representing relativistic cosmological models with a discrete matter content has been remarkably fruitful in the last decade. In th…
Light propagation through black-hole lattices
Eloisa Bentivegna, Mikołaj Korzyński, Ian Hinder +1
The apparent properties of distant objects encode information about the way the light they emit propagates to an observer, and therefore about the curvature of the underlying space…