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A textbook on parallel computing and scientific machine learning methods and applications
A Julia framework for acausal modeling, symbolic math, and parallelized scientific machine learning.
Physics-Informed Neural Networks (PINN) Solvers for accelerated simulation and scientific machine learning.
An extensive benchmark for scientific machine learning, focused on physics-informed neural networks and partial differential equations.
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