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The Journal of Chemical Physics|November 23, 2006
Schmidt number effects in dissipative particle dynamics simulation of polymersVasileios Symeonidis, George Em Karniadakis, Bruce CaswellNeural Networks : the Official Journal of the International Neural Network Society|April 17, 2026
Randomized forward mode gradient for spiking neural networks in scientific machine learningRuyin Wan, Qian Zhang, George Em KarniadakisAnnals of Biomedical Engineering|December 17, 2014
An effective fractal-tree closure model for simulating blood flow in large arterial networksParis Perdikaris, Leopold Grinberg, George Em KarniadakisProceedings of the National Academy of Sciences of the United States of America|August 12, 2009
A stochastic modeling methodology based on weighted Wiener chaos and Malliavin calculusXiaoliang Wan, Boris Rozovskii, George Em KarniadakisScience (New York, N.Y.)|February 1, 2020
Hidden fluid mechanics: Learning velocity and pressure fields from flow visualizationsMaziar Raissi, Alireza Yazdani, George Em KarniadakisIEEE Transactions on Medical Imaging|December 21, 2007
A reconstruction method for gappy and noisy arterial flow dataAlexander Yakhot, Tomer Anor, George Em KarniadakisChaos (Woodbury, N.Y.)|July 30, 2022
Fractional SEIR model and data-driven predictions of COVID-19 dynamics of Omicron variantMin Cai, George Em Karniadakis, Changpin LiComputer Methods in Applied Mechanics and Engineering|December 20, 2013
Systematic coarse-graining of spectrin-level red blood cell modelsDmitry A Fedosov, Bruce Caswell, George Em KarniadakisNeural Networks : the Official Journal of the International Neural Network Society|March 24, 2025
SympGNNs: Symplectic Graph Neural Networks for identifying high-dimensional Hamiltonian systems and node classificationAlan John Varghese, Zhen Zhang, George Em KarniadakisPageof 18