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IEEE Transactions on Neural Networks and Learning Systems|February 18, 2022
Learning Poisson Systems and Trajectories of Autonomous Systems via Poisson Neural NetworksPengzhan Jin, Zhen Zhang, Ioannis G Kevrekidis, et al.Annual Review of Biomedical Engineering|May 1, 2026
Physics-Informed Machine Learning in Biomedical Science and EngineeringNazanin Ahmadi, Qianying Cao, Jay D Humphrey, et al.Optics Express|May 15, 2020
Physics-informed neural networks for inverse problems in nano-optics and metamaterialsYuyao Chen, Lu Lu, George Em Karniadakis, et al.Chemical Communications (Cambridge, England)|June 12, 2015
Mesoscale modeling of phase transition dynamics of thermoresponsive polymersZhen Li, Yu-Hang Tang, Xuejin Li, et al.The Journal of Chemical Physics|January 9, 2017
Computing the non-Markovian coarse-grained interactions derived from the Mori-Zwanzig formalism in molecular systems: Application to polymer meltsZhen Li, Hee Sun Lee, Eric Darve, et al.Scientific Reports|September 30, 2024
Enhancing severe hypoglycemia prediction in type 2 diabetes mellitus through multi-view co-training machine learning model for imbalanced datasetMelih Agraz, Yixiang Deng, George Em Karniadakis, et al.Computer Methods in Applied Mechanics and Engineering|January 8, 2021
Non-invasive Inference of Thrombus Material Properties with Physics-Informed Neural NetworksMinglang Yin, Xiaoning Zheng, Jay D Humphrey, et al.Biophysical Journal|May 12, 2016
Probing the Twisted Structure of Sickle Hemoglobin Fibers via Particle SimulationsLu Lu, Xuejin Li, Peter G Vekilov, et al.Journal of Fluid Mechanics|December 24, 2013
Blood flow in small tubes: quantifying the transition to the non-continuum regimeHuan Lei, Dmitry A Fedosov, Bruce Caswell, et al.Arxiv|November 24, 2025
Physics-Informed Machine Learning in Biomedical Science and EngineeringNazanin Ahmadi, Qianying Cao, Jay D Humphrey, et al.Pageof 18