Results 131 to 140 of about 85,369,012 (181)

End-to-end robust system discovery in electrical dynamical systems using scientific machine learning. [PDF]

Commun Eng
Chakravorty J, Ripamonti N, Laneryd T.
europepmc   +1 more source

PINN for stiff moving-boundary PDE to predict the locking point in superheated steam drying. [PDF]

Sci Rep
Malekjani N, Bück A, Tsotsas E, Kharaghani A.   +3 more
europepmc   +1 more source

Physics-Informed Machine Learning in Biomedical Science and Engineering. [PDF]

Annu Rev Biomed Eng
Ahmadi N, Cao Q, Humphrey JD, Karniadakis GE.   +3 more
europepmc   +1 more source

Volumetric Ablation of Phenolic Resin in Extreme Environments: A Variable-Property Physics-Informed Neural Network Framework. [PDF]

Polymers (Basel)
Du W, Ma T, Song H.
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An optimal Petrov-Galerkin framework for operator networks. [PDF]

Comput Methods Appl Mech Eng
Charles P, Ray D, Yu Y, Prins J, Melchers H, Abdelmalik MRA, Cochran J, Oberai AA, Hughes TJR, Larson MG.   +9 more
europepmc   +1 more source

Neural Operator-enabled Topology-informed Evolutionary Strategy for PDE-Constrained Optimization. [PDF]

IEEE Trans Evol Comput
Huang X, Zhang G, Lu L, Pestourie R.
europepmc   +1 more source

Physics-informed neural network with weighted loss and hard constraints for hyperbolic conservation laws. [PDF]

Sci Rep
Ghoreishi MS, Naderan H.
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Analyzing the influence of fractional orders of FitzHugh-Nagumo and Fisher equations. [PDF]

Sci Rep
Al-Sawalha MM, Noor S, Yasmin H, Kafle J.   +3 more
europepmc   +1 more source

Partial differential equations in data science. [PDF]

Philos Trans A Math Phys Eng Sci
Bertozzi AL, Drenska N, Latz J, Thorpe M.   +3 more
europepmc   +1 more source

Physics-informed neural networks for physiological signal processing and modeling: a narrative review. [PDF]

Physiol Meas
Zhao A, Fattahi D, Hu X.
europepmc   +1 more source