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State of Physics-Informed AI | Report | ScienceToStartup

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Physics-Informed AI

State of Physics-Informed AI

6 papers · avg viability 5.5

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Top papers

Project and Generate: Divergence-Free Neural Operators for Incompressible Flows(7.0)
A Convex Route to Thermomechanics: Learning Internal Energy and Dissipation(7.0)
PILD: Physics-Informed Learning via Diffusion(5.0)
SPIKE: Sparse Koopman Regularization for Physics-Informed Neural Networks(5.0)
Phase space integrity in neural network models of Hamiltonian dynamics: A Lagrangian descriptor approach(3.0)
Physics-Informed Neural Networks and Sequence Encoder: Application to heating and early cooling of thermo-stamping process(3.0)