Physics-Informed Neural Networks with Unknown Partial Differential Equations: An Application in Multivariate Time Series. [PDF]
Mortezanejad SAF +2 more
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Physics-informed neural networks for physiological signal processing and modeling: a narrative review. [PDF]
Zhao A, Fattahi D, Hu X.
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Phenotype structuring in collective cell migration: a tutorial of mathematical models and methods. [PDF]
Lorenzi T, Painter KJ, Villa C.
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Physics-Informed Neural Networks in Polymers: A Review. [PDF]
Malashin I +4 more
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Scientific Machine Learning for Guided Wave and Surface Acoustic Wave (SAW) Propagation: PgNN, PeNN, PINN, and Neural Operator. [PDF]
Mehtaj N, Banerjee S.
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Dimensionless learning based on information. [PDF]
Yuan Y, Lozano-Durán A.
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Modeling bacterial growth and Allee effect via Allen-Cahn theoretical framework. [PDF]
Maslovskaya A +4 more
europepmc +1 more source
Individualizing glioma radiotherapy planning by optimization of a data and physics-informed discrete loss. [PDF]
Balcerak M +11 more
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Towards transient space-use dynamics: re-envisioning models of utilization distribution and their applications. [PDF]
Tao Y, Giunta V, Börger L, Wilber MQ.
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Enhancing Brain-Computer Interfaces through Kriging-Based Fusion of Sparse Regression Partial Differential Equations to Counter Injection Molding View of Node Displacement Effects. [PDF]
Chang H, Sun Y, Lu S, Lan Y.
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