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Continuum- and particle-based modeling of shapes and dynamics of red blood cells in health and disease, , and . Soft Matter, 9 (1): 28-37 (2013)On the Convergence and generalization of Physics Informed Neural Networks., , and . CoRR, (2020)Deep Kronecker neural networks: A general framework for neural networks with adaptive activation functions., , , and . Neurocomputing, (2022)AOSLO-net: A deep learning-based method for automatic segmentation of retinal microaneurysms from adaptive optics scanning laser ophthalmoscope images., , , , , , , and . CoRR, (2021)A combined computational and experimental investigation of the filtration function of splenic macrophages in sickle cell disease., , , , , , and . PLoS Comput. Biol., (December 2023)Approximation rates of DeepONets for learning operators arising from advection-diffusion equations., , , , and . Neural Networks, (2022)Uncertainty quantification for noisy inputs-outputs in physics-informed neural networks and neural operators., , and . CoRR, (2023)Mechanical Characterization and Inverse Design of Stochastic Architected Metamaterials Using Neural Operators., , , , , and . CoRR, (2023)Learning characteristic parameters and dynamics of centrifugal pumps under multi-phase flow using physics-informed neural networks., , , and . CoRR, (2023)Learning in PINNs: Phase transition, total diffusion, and generalization., , , and . CoRR, (2024)