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List of works by Lu Lu

Approximation rates of DeepONets for learning operators arising from advection–diffusion equations

scientific article published in 2022

Cytoskeleton Remodeling Induces Membrane Stiffness and Stability Changes of Maturing Reticulocytes

scientific article

DeepXDE: A Deep Learning Library for Solving Differential Equations

scientific article published in 2021

Extraction of mechanical properties of materials through deep learning from instrumented indentation

scientific article published on 16 March 2020

Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems

scientific article published in 2022

How the spleen reshapes and retains young and old red blood cells: A computational investigation

scientific article published on 01 November 2021

Mechanics of diseased red blood cells in human spleen and consequences for hereditary blood disorders

article published in the Proceedings of the National Academy of Sciences of the United States of America

Mesoscopic Adaptive Resolution Scheme toward Understanding of Interactions between Sickle Cell Fibers

scientific article published on July 2017

Modeling biomembranes and red blood cells by coarse-grained particle methods

Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of nanoscale heat transport

scientific article published in 2022

OpenRBC: A Fast Simulator of Red Blood Cells at Protein Resolution

scientific article published on May 2017

Probing the Twisted Structure of Sickle Hemoglobin Fibers via Particle Simulations

scientific article published on May 2016

Quantitative prediction of erythrocyte sickling for the development of advanced sickle cell therapies

scientific article published on 21 August 2019

Synergistic Integration of Laboratory and Numerical Approaches in Studies of the Biomechanics of Diseased Red Blood Cells

scholarly article by He Li et al published 10 August 2018 in Biosensors

Systems biology informed deep learning for inferring parameters and hidden dynamics

scientific article published on 18 November 2020

Understanding the Twisted Structure of Amyloid Fibrils via Molecular Simulations

scientific article published on 27 August 2018

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