8 citations · 11 across the 4 of their papers we have counts for
4 papers
Jacobian Regularization Stabilizes Long-Term Integration of Neural Differential Equations
Maya Janvier, Julien Salomon, Etienne Meunier
Hybrid models and Neural Differential Equations (NDE) are getting increasingly important for the modeling of physical systems, however they often encounter stability and accuracy i…
Probing the partition function for temperature-dependent potentials with nested sampling
Lune Maillard, Philippe Depondt, Fabio Finocchi +4
Thermodynamic properties can be in principle derived from the partition function, which, in many-atom systems, is hard to evaluate as it involves a sum on the accessible microscopi…
Modeling Global Surface Dust Deposition Using Physics-Informed Neural Networks
Constanza A. Molina Catricheo, Fabrice Lambert, Julien Salomon +1
Paleoclimatic measurements serve to understand Earth System processes and evaluate climate model performances. However, their spatial coverage is generally sparse and unevenly dist…
Newton algorithm for Hamiltonian characterization in quantum control
M. Ndong, J. Salomon, D. Sugny
We propose a Newton algorithm to characterize the Hamiltonian of a quantum system interacting with a given laser field. The algorithm is based on the assumption that the evolution…