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FO-PINNs: A First-Order formulation for Physics Informed Neural Networks., , and . CoRR, (2022)Robust Topology Optimization Using Variational Autoencoders., , , and . CoRR, (2021)A Deep Neural Network Surrogate for High-Dimensional Random Partial Differential Equations., and . CoRR, (2018)Deep Learning for Accelerated Seismic Reliability Analysis of Transportation Networks., and . Comput. Aided Civ. Infrastructure Eng., 33 (6): 443-458 (2018)Deep Learning for Accelerated Reliability Analysis of Infrastructure Networks., and . CoRR, (2017)NVIDIA SimNet™: An AI-Accelerated Multi-Physics Simulation Framework., , , , , , , , and . ICCS (5), volume 12746 of Lecture Notes in Computer Science, page 447-461. Springer, (2021)Physics-Driven Regularization of Deep Neural Networks for Enhanced Engineering Design and Analysis., and . J. Comput. Inf. Sci. Eng., (2020)NVIDIA SimNet^TM: an AI-accelerated multi-physics simulation framework., , , , , , , , , and . CoRR, (2020)Geometry-Informed Neural Operator for Large-Scale 3D PDEs., , , , , , , , , and 1 other author(s). CoRR, (2023)Physics-Informed Regularization of Deep Neural Networks., and . CoRR, (2018)