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searching for Physics-informed neural networks 11 found (21 total)

alternate case: physics-informed neural networks

Machine learning in physics (2,264 words) [view diff] no match in snippet view article find links to article

integration for path integrals in order to avoid the sign problem. Physics informed neural networks have been used to solve partial differential equations in both

Partial differential equation (6,795 words) [view diff] no match in snippet view article find links to article

the adjacent volume, these methods conserve mass by design. Physics informed neural networks have been used to solve partial differential equations in both

Frequency principle/spectral bias (2,000 words) [view diff] exact match in snippet view article find links to article

accuracy. MSNNs have been applied to both regression problems and physics-informed neural networks, effectively addressing spectral bias and achieving accuracy

Heart rate monitor (1,285 words) [view diff] case mismatch in snippet view article find links to article

evaluated various models including Long Short-Term Memory (LSTM), Physics-Informed Neural Networks (PINNs), and 1D Convolutional Neural Networks (1D CNNs), using

Ellen Kuhl (1,131 words) [view diff] exact match in snippet view article find links to article

Sahli Costabal F, Yang Y, Perdikaris P, Hurtado DE, Kuhl E. Physics-informed neural networks for cardiac activation mapping. Front Phys. 2020; 8:42. doi:10

Jürgen Czarske (1,765 words) [view diff] exact match in snippet view article find links to article

shifts in the combination of deep learning and physics with physics-informed neural networks, which have been transferred to biomedicine and fiber optic

Dava Newman (2,154 words) [view diff] case mismatch in snippet view article find links to article

Lütjens, B., Veillette, M., Newman, D., "Uncertainty-Aware Physics-Informed Neural Networks for Parametrizations in Ocean Modeling", AGU Annual Mtg., 2020

Gerhard A. Holzapfel (1,904 words) [view diff] case mismatch in snippet view article find links to article

Characterization of Soft Tissue In Vivo by Microstructural Imaging and Physics-Informed Neural Networks: Bridging the Gap Between Biomechanics and Clinical Practice"

Heart rate (9,371 words) [view diff] case mismatch in snippet view article find links to article

evaluated various models including Long Short-Term Memory (LSTM), Physics-Informed Neural Networks (PINNs), and 1D Convolutional Neural Networks (1D CNNs), using

Kim Jae Kyoung (2,925 words) [view diff] exact match in snippet view article find links to article

Ju; Chang, Won; Kim, Jae Kyoung (26 December 2023). "Density physics-informed neural networks reveal sources of cell heterogeneity in signal transduction"

Types of artificial neural networks (10,702 words) [view diff] case mismatch in snippet view article find links to article

Lu, Lu; Karniadakis, George Em (2019). "fPINNs: Fractional Physics-Informed Neural Networks". SIAM Journal on Scientific Computing. 41 (4): A2603 – A2626