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SciANN: A Keras/Tensorflow wrapper for scientific computations and physics-informed deep learning using artificial neural networks

, and . arXiv.org > Computer Science, (2020)

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SciANN: A Keras/Tensorflow wrapper for scientific computations and physics-informed deep learning using artificial neural networks, and . arXiv.org > Computer Science, (2020)Inverse modeling of nonisothermal multiphase poromechanics using physics-informed neural networks., , and . CoRR, (2022)Inverse modeling of nonisothermal multiphase poromechanics using physics-informed neural networks., , and . J. Comput. Phys., (2023)Physics-informed neural network solution of thermo-hydro-mechanical (THM) processes in porous media., , and . CoRR, (2022)Self-organization of network dynamics into local quantized states., , and . CoRR, (2015)Three-dimensional simulation of unstable gravity-driven infiltration of water into a porous medium., , and . J. Comput. Phys., (2013)Unified Formulation for High-Order Streamline Tracing on Two-Dimensional Unstructured Grids., and . J. Sci. Comput., 38 (1): 50-73 (2009)Physics-informed neural network simulation of multiphase poroelasticity using stress-split sequential training., , and . CoRR, (2021)A deep learning framework for solution and discovery in solid mechanics: linear elasticity., , , , and . CoRR, (2020)Robust streamline tracing for the simulation of porous media flow on general triangular and quadrilateral grids., , and . J. Comput. Phys., 219 (2): 992-1012 (2006)