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Differential Transform Method and Neural Network for Solving Variational Calculus Problems

Piecewise Neural Network Method for Solving Large Interval Solutions to Initial Value Problems of Ordinary Differential Equations

An Efficient Method for Solving Two-Dimensional Partial Differential Equations with the Deep Operator Network

Graph Neural Networks through the lens of Differential Geometry and Algebraic Topology | by Michael Bronstein | Towards Data Science

Mixing Differential Equations and Neural Networks for Physics-Informed Learning - MIT Parallel Computing and Scientific Machine Learning (SciML)

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Differential Transform Method and Neural Network for Solving Variational Calculus Problems,Piecewise Neural Network Method for Solving Large Interval Solutions to Initial Value Problems of Ordinary Differential Equations,An Efficient Method for Solving Two-Dimensional Partial Differential Equations with the Deep Operator Network,Graph Neural Networks through the lens of Differential Geometry and Algebraic Topology | by Michael Bronstein | Towards Data Science,Mixing Differential Equations and Neural Networks for Physics-Informed Learning - MIT Parallel Computing and Scientific Machine Learning (SciML)

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