Results 191 to 200 of about 35,710 (245)

Optimisation of Sensor and Sensor Node Positions for Shape Sensing with a Wireless Sensor Network-A Case Study Using the Modal Method and a Physics-Informed Neural Network. [PDF]

Sensors (Basel)
Meyer Zu Westerhausen S, Hichri I, Herrmann K, Lachmayer R.   +3 more
europepmc   +1 more source

Phenotype structuring in collective cell migration: a tutorial of mathematical models and methods. [PDF]

J Math Biol
Lorenzi T, Painter KJ, Villa C.
europepmc   +1 more source

Solving inverse problems in physics by optimizing a discrete loss: Fast and accurate learning without neural networks. [PDF]

PNAS Nexus
Karnakov P, Litvinov S, Koumoutsakos P.
europepmc   +1 more source

High-Accuracy Parallel Neural Networks with Hard Constraints for a Mixed Stokes/Darcy Model. [PDF]

Entropy (Basel)
Lu Z, Zhang J, Zhu X.
europepmc   +1 more source

Physics-Informed Neural Networks in Polymers: A Review. [PDF]

Polymers (Basel)
Malashin I, Tynchenko V, Gantimurov A, Nelyub V, Borodulin A.   +4 more
europepmc   +1 more source

Solving Inverse PDE Problems using Grid-Free Monte Carlo Estimators [PDF]

Ekrem Fatih Yılmazer, Delio Vicini, Wenzel Jakob   +2 more
openalex   +1 more source

Machine-learning heat flux closure for multi-moment fluid modeling of nonlinear Landau damping. [PDF]

Proc Natl Acad Sci U S A
Huang Z, Dong C, Wang L.
europepmc   +1 more source

HJ-sampler: A Bayesian sampler for inverse problems of a stochastic process by leveraging Hamilton-Jacobi PDEs and score-based generative models [PDF]

Tingwei Meng, Zongren Zou, Jérôme Darbon, George Em Karniadakis   +3 more
openalex   +1 more source

Multidimensional Inverse Problems and Completeness of the Products of Solutions to PDE

Journal of Mathematical Analysis and Applications, 1989
openaire   +1 more source

Enhancing convergence speed with feature enforcing physics-informed neural networks using boundary conditions as prior knowledge. [PDF]

Sci Rep
Jahani-Nasab M, Bijarchi MA.
europepmc   +1 more source