Surrogate model-based multi-objective Bayesian optimisation of porous acoustic barriers. [PDF]
Liravi H +3 more
europepmc +1 more source
Numerical simulation of a fractional stochastic delay differential equations using spectral scheme: a comprehensive stability analysis. [PDF]
Li S +4 more
europepmc +1 more source
Accelerated computation for 2D isogeometric acoustic model with ground reflection by integrating Taylor expansion and deep neural network. [PDF]
Gao J, Ma H, Miao D, Yao R, Zhang Y.
europepmc +1 more source
WF-PINNs: solving forward and inverse problems of burgers equation with steep gradients using weak-form physics-informed neural networks. [PDF]
Wang X, Yi S, Gu H, Xu J, Xu W.
europepmc +1 more source
Employing variance component estimation for point cloud based geometric surface representation by B-splines. [PDF]
Ötsch E, Harmening C, Neuner H.
europepmc +1 more source
Physics-informed deep learning quantifies propagated uncertainty in seismic structure and hypocenter determination. [PDF]
Agata R, Shiraishi K, Fujie G.
europepmc +1 more source
Investigating the use of physics informed neural networks for dam-break scenarios. [PDF]
Mumtaz K +3 more
europepmc +1 more source
A variational framework for residual-based adaptivity in neural PDE solvers and operator learning. [PDF]
Toscano JD +4 more
europepmc +1 more source
A deep learning approach: physics-informed neural networks for solving a nonlinear telegraph equation with different boundary conditions. [PDF]
Deresse AT, Bekela AS.
europepmc +1 more source
Physics-informed neural network simulation of thermal cavity flow. [PDF]
Fowler E, McDevitt CJ, Roy S.
europepmc +1 more source

