research
∙
01/18/2023
Reconstructing Rayleigh-Benard flows out of temperature-only measurements using Physics-Informed Neural Networks
We investigate the capabilities of Physics-Informed Neural Networks (PIN...
share
research
∙
02/27/2021
Optimal control of point-to-point navigation in turbulent time-dependent flows using Reinforcement Learning
We present theoretical and numerical results concerning the problem to f...
research
∙
05/07/2020
Physics-informed neural network for ultrasound nondestructive quantification of surface breaking cracks
We introduce an optimized physics-informed neural network (PINN) trained...
research
∙
07/17/2019