Fast automated adjoints for spectral PDE solvers. [PDF]
Skene CS, Burns KJ.
europepmc +1 more source
Sliding physical invariant neural operator for long-term prediction of complex dynamics in physical systems. [PDF]
Wang Y, Li Y, Peng Y, Ying S.
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Deterministic, stochastic, and mean-field PDE models in neuroscience. [PDF]
Çetin C +5 more
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Physics-informed differentiable solvers for learning parametric solution manifolds in heterogeneous physical systems. [PDF]
Panahi M +3 more
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Fast Numerical Solvers for Parameter Identification Problems in Mathematical Biology. [PDF]
Benková K, Pearson JW, Ptashnyk M.
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NeuberNet: a neural operator solving elastic-plastic partial differential equations at V-notches from low-fidelity elastic simulations. [PDF]
Grossi T, Beghini M, Benedetti M.
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Plant-derived exosomes: an emerging delivery platform for cancer therapy. [PDF]
Zhou Y +8 more
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Development of functional cheese sticks using konjac glucomannan: regulated pickering double emulsions under different heat treatments. [PDF]
Xu W +8 more
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A Physics-Informed neural network (PINN) for parameter identification in analytical ultracentrifugation (AUC) analysis. [PDF]
Cao W, Martin R, Demeler B.
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One-shot learning for solution operators of partial differential equations. [PDF]
Jiao A, He H, Ranade R, Pathak J, Lu L.
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