JinlongAug 131 minData-Driven Stochastic Closure Modeling via Conditional Diffusion Model and Neural Operator

JinlongAug 131 minConditional Gaussian Neural Stochastic Differential Equation for Modeling Complex Systems and Data Assimilation

JinlongAug 131 minNeural Dynamical Operator with Gradient-Based and Derivative-Free Optimization Methods

JinlongOct 29, 20212 minEpidemic Management and Control Through Risk-Dependent Individual Contact Interventions

JinlongOct 29, 20211 minEnsemble Kalman Inversion for Sparse Learning of Dynamical Systems from Time-Averaged Data

JinlongOct 29, 20212 minEnforcing statistical constraints in generative adversarial networks for modeling chaotic dynamical

JinlongNov 8, 20181 minPhysics-informed machine learning approach for reconstructing Reynolds stress modeling discrepancies

JinlongNov 8, 20182 minQuantifying and reducing model-form uncertainties in Reynolds-averaged Navier–Stokes simulations

JinlongNov 2, 20181 minSeeing permeability from images: fast prediction with convolutional neural networks