24 citations · 24 across the 1 of their papers we have counts for
2 papers
physics.flu-dyn2022★ 24 cited
Physics-informed neural networks for gravity currents reconstruction from limited data
Mickaël Delcey, Yoann Cheny, Sébastien Kiesgen de Richter
The present work investigates the use of physics-informed neural networks (PINNs) for the 3D reconstruction of unsteady gravity currents from limited data. In the PINN context, the…
physics.chem-ph2019
Origin of vibrational wavepacket dynamics in Fe carbene photosensitizer determined with femtosecond X-ray emission and scattering
Kristjan Kunnus, Morgane Vacher, Tobias C. B. Harlang +38
Disentangling the dynamics of electrons and nuclei during nonadiabatic molecular transformations remains a considerable experimental challenge. Here we have investigated photoinduc…