A Physics-Informed Neural Network (PINN) Approach to Over-Equilibrium Dynamics in Conservatively Perturbed Linear Equilibrium Systems. [PDF]
Dutta A +5 more
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Beyond Bayesian Inference: The Correlation Integral Likelihood Framework and Gradient Flow Methods for Deterministic Sampling. [PDF]
Gwiazda P +3 more
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A variational framework for residual-based adaptivity in neural PDE solvers and operator learning. [PDF]
Toscano JD +4 more
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Analytical evaluations using neural network-based method for wave solutions of combined Kairat-II-X differential equation in fluid mechanics. [PDF]
Zhou P +8 more
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Automating PINN-based kinematic resolution of robotic joints using robotic process automation frameworks. [PDF]
Agrawal P, Sekar P, Kushwaha KK.
europepmc +1 more source
Optical neural engine for solving scientific partial differential equations. [PDF]
Tang Y +7 more
europepmc +1 more source
An Efficient Quasi-Newton Method with Tensor Product Implementation for Solving Quasi-Linear Elliptic Equations and Systems. [PDF]
Hao W, Lee S, Zhang X.
europepmc +1 more source
Physic-informed deep operator networks for modeling 2D time-domain electromagnetic wave propagation in various media. [PDF]
Oh S, Lee E, Hong SK.
europepmc +1 more source
Identification of Adiabatic Temperature Rise Characteristics for Mass Concrete Using the Physics-Informed Neural Network. [PDF]
Lee JM, Lee CJ, Jeong W.
europepmc +1 more source

