NSFnets (Navier-Stokes flow nets): Physics-informed neural networks for the incompressible Navier-Stokes equations

Xiaowei Jin, Shengze Cai, Hui Li, +1

Journal of Computational Physics

Compressible FlowEngineeringIncompressible FlowIncompressible Navier-stokes EquationsPhysic Aware Machine Learning +7

Physics-Informed Neural Networks for Heat Transfer Problems

Shengze Cai, Zhicheng Wang, Sifan Wang, +2

Journal of Heat Transfer

Heat Transfer ProcessEngineeringMachine LearningDiscretization ErrorsPhysic Aware Machine Learning +13

Flow over an espresso cup: inferring 3-D velocity and pressure fields from tomographic background oriented Schlieren via physics-informed neural networks

Shengze Cai, Zhicheng Wang, Frederik Fuest, +3

Journal of Fluid Mechanics

Dense motion estimation of particle images via a convolutional neural network

Shengze Cai, Shichao Zhou, Chao Xu, +1

Experiments in Fluids

Convolutional Neural NetworkMachine VisionImage AnalysisEngineeringParticle Images +5

DeepM&Mnet: Inferring the electroconvection multiphysics fields based on operator approximation by neural networks

Shengze Cai, Zhicheng Wang, Lu Lu, +2

Journal of Computational Physics

Numerical AnalysisEngineeringMachine LearningPhysicsMultiphysics Modeling +8

Particle Image Velocimetry Based on a Deep Learning Motion Estimator

Shengze Cai, Jiaming Liang, Qi Gao, +2

IEEE Transactions on Instrumentation and Measurement

Geometric LearningImage ClassificationConvolutional Neural NetworkMachine VisionMachine Learning +10

Artificial intelligence velocimetry and microaneurysm-on-a-chip for three-dimensional analysis of blood flow in physiology and disease

Shengze Cai, He Li, Fuyin Zheng, +4

Proceedings of the National Academy of Sciences

Artificial intelligence velocimetry reveals in vivo flow rates, pressure gradients, and shear stresses in murine perivascular flows

Kimberly A. Stevens, Shengze Cai, Antonio Ladrón-de-Guevara, +7

Proceedings of the National Academy of Sciences

Motion estimation under location uncertainty for turbulent fluid flows

Shengze Cai, Étienne Mémin, Pierre Dérian, +1

Experiments in Fluids

Numerical AnalysisEngineeringOdometryUncertainty QuantificationSpatial Uncertainty +5

Forecasting solar-thermal systems performance under transient operation using a data-driven machine learning approach based on the deep operator network architecture

Julián D. Osorio, Zhicheng Wang, George Em Karniadakis, +4

Energy Conversion and Management

Intelligent ForecastingEngineeringMachine LearningData ScienceEnergy Management +9