Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.Abstract Accurate Numerical Weather Prediction (NWP) is of paramount importance for global climate change response and sustainable development. Although numerical models such as the Weather Research and Forecasting (WRF) model are widely applied in operational forecasting, they exhibit significant systematic biases under complex atmospheric conditions,
Juncheng Wu +3 more
wiley +1 more source
Advanced PINN Integration with Multiple PINN Methods
This thesis evaluates the efficacy of Physics-Informed Neural Networks (PINNs) in simulating fluid dynamics challenges, focusing on the Burgers' equation and the lid-driven cavity problem, to develop a robust PINN framework for nuclear engineering applications such as the Sustainable Nuclear Energy Research In Sweden (SUNRISE) project.
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A Control Perspective on Training PINNs
We investigate the training of Physics-Informed Neural Networks (PINNs) from a control-theoretic perspective. Using gradient descent with resampling, we interpret the training dynamics as asymptotically equivalent to a stochastic control-affine system, where sampling effects act as process disturbances and measurement noise.
Barreau, Matthieu, Shen, Haoming
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The folder contains training data from the field trials and results used for ...
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Singular Layer Pinn Methods for Burgers' Equation
In this article, we present a new learning method called sl-PINN to tackle the one-dimensional viscous Burgers problem at a small viscosity, which results in a singular interior layer. To address this issue, we first determine the corrector that characterizes the unique behavior of the viscous flow within the interior layers by means of asymptotic ...
Teng-Yuan Chang +3 more
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Residual Wrist Pain and Cyst Recurrence Following Removal of Dorsal Ganglion With and Without Posterior Interosseous Nerve Neurectomy. [PDF]
J Hand Surg Glob OnlineFurlong CT +4 more
europepmc +1 more source
Hybrid Physics-Informed Residual Learning for Robust BDS-3 Satellite Clock Bias Prediction. [PDF]
Sensors (Basel)Cheng L +5 more
europepmc +1 more source
Physics-informed differentiable solvers for learning parametric solution manifolds in heterogeneous physical systems. [PDF]
PNAS NexusPanahi M +3 more
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Hybrid Physics-Informed and Bayesian Modeling of Single-Nanoparticle-Cell Adhesion Kinetics under Cytoskeletal Perturbation. [PDF]
Comput Struct Biotechnol JBettahar H, Santos HA, Zhou Q.
europepmc +1 more source
A Physics-Informed Neural Network Framework Integrating Soft and Hard Constraints for Predicting Biomass Gasification Syngas Compositions. [PDF]
ACS OmegaZou Q +5 more
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