Vapor–liquid equilibrium estimation of n-alkane/nitrogen mixtures using neural networks | 0 | 0.34 | 2022 |
A consistent and conservative Phase-Field method for multiphase incompressible flows | 0 | 0.34 | 2022 |
Fed-DeepONet: Stochastic Gradient-Based Federated Training of Deep Operator Networks | 0 | 0.34 | 2022 |
Inverse Modeling of Hydrologic Parameters in CLM4 via Generalized Polynomial Chaos in the Bayesian Framework | 0 | 0.34 | 2022 |
A consistent and conservative Phase-Field model for thermo-gas-liquid-solid flows including liquid-solid phase change | 0 | 0.34 | 2022 |
RotEqNet: Rotation-equivariant network for fluid systems with symmetric high-order tensors | 0 | 0.34 | 2022 |
Learning-PDE-Based Approximate Optimal Control for an MHD System With Uncertainty Quantification | 0 | 0.34 | 2022 |
An adaptively weighted stochastic gradient MCMC algorithm for Monte Carlo simulation and global optimization | 0 | 0.34 | 2022 |
Block triangular preconditioning for stochastic Galerkin method | 0 | 0.34 | 2022 |
Multi-element flow-driven spectral chaos (ME-FSC) method for uncertainty quantification of dynamical systems | 0 | 0.34 | 2022 |
Interacting Contour Stochastic Gradient Langevin Dynamics | 0 | 0.34 | 2022 |
Efficient hybrid explicit-implicit learning for multiscale problems | 0 | 0.34 | 2022 |
Multi-variance replica exchange SGMCMC for inverse and forward problems via Bayesian PINN | 0 | 0.34 | 2022 |
HomPINNs: Homotopy physics-informed neural networks for learning multiple solutions of nonlinear elliptic differential equations | 0 | 0.34 | 2022 |
A consistent and conservative model and its scheme for N-phase-M-component incompressible flows | 0 | 0.34 | 2021 |
An adaptive Hessian approximated stochastic gradient MCMC method | 0 | 0.34 | 2021 |
SubTSBR to tackle high noise and outliers for data-driven discovery of differential equations | 0 | 0.34 | 2021 |
An integrated framework for building trustworthy data-driven epidemiological models: Application to the COVID-19 outbreak in New York City | 0 | 0.34 | 2021 |
Accelerating Convergence of Replica Exchange Stochastic Gradient MCMC via Variance Reduction | 0 | 0.34 | 2021 |
Feasibility of DEIM for retrieving the initial field via dimensionality reduction | 0 | 0.34 | 2021 |
Bayesian sparse learning with preconditioned stochastic gradient MCMC and its applications | 0 | 0.34 | 2021 |
A Comparative Study of Marginalized Graph Kernel and Message-Passing Neural Network | 0 | 0.34 | 2021 |
Flow-driven spectral chaos (FSC) method for long-time integration of second-order stochastic dynamical systems | 0 | 0.34 | 2021 |
Flow-driven spectral chaos (FSC) method for simulating long-time dynamics of arbitrary-order non-linear stochastic dynamical systems | 0 | 0.34 | 2021 |
Gaussian Process Assisted Active Learning Of Physical Laws | 0 | 0.34 | 2021 |
Binary classification of floor vibrations for human activity detection based on dynamic mode decomposition | 0 | 0.34 | 2021 |
Real-time computational optimal control of an MHD flow system with parameter uncertainty quantification | 0 | 0.34 | 2020 |
Robust weighted SVD-type latent factor models for rating prediction. | 1 | 0.36 | 2020 |
A Contour Stochastic Gradient Langevin Dynamics Algorithm For Simulations Of Multi-Modal Distributions | 0 | 0.34 | 2020 |
A Low-Rank Approximated Multiscale Method For Pdes With Random Coefficients | 0 | 0.34 | 2020 |
Efficient Deep Learning Techniques for Multiphase Flow Simulation in Heterogeneous Porous Media. | 2 | 0.37 | 2020 |
A Homotopy Method with Adaptive Basis Selection for Computing Multiple Solutions of Differential Equations. | 0 | 0.34 | 2020 |
Error estimates of a spectral Petrov-Galerkin method for two-sided fractional reaction-diffusion equations. | 0 | 0.34 | 2020 |
Consistent and conservative scheme for incompressible two-phase flows using the conservative Allen-Cahn model | 0 | 0.34 | 2020 |
Consistent, essentially conservative and balanced-force Phase-Field method to model incompressible two-phase flows. | 0 | 0.34 | 2020 |
Optimal observations-based retrieval of topography in 2D shallow water equations using PC-EnKF. | 0 | 0.34 | 2019 |
ConvPDE-UQ: Convolutional neural networks with quantified uncertainty for heterogeneous elliptic partial differential equations on varied domains | 2 | 0.37 | 2019 |
Finite Element Method for Two-Sided Fractional Differential Equations with Variable Coefficients: Galerkin Approach. | 0 | 0.34 | 2019 |
Rotation-equivariant convolutional neural network ensembles in image processing | 0 | 0.34 | 2019 |
An Adaptive Empirical Bayesian Method for Sparse Deep Learning | 0 | 0.34 | 2019 |
Infrared Thermal Imaging-Based Crack Detection Using Deep Learning | 1 | 0.36 | 2019 |
Stochastic Security Assessment for Power Systems With High Renewable Energy Penetration Considering Frequency Regulation. | 0 | 0.34 | 2019 |
A mixed upwind/central WENO scheme for incompressible two-phase flows. | 1 | 0.35 | 2019 |
Two-Level Spectral Methods for Nonlinear Elliptic Equations with Multiple Solutions | 1 | 0.36 | 2018 |
Using automatic differentiation for compressive sensing in uncertainty quantification. | 0 | 0.34 | 2018 |
Local Feature Sufficiency Exploration For Predicting Security-Constrained Generation Dispatch In Multi-Area Power Systems | 0 | 0.34 | 2018 |
Parallel and Interacting Stochastic Approximation Annealing algorithms for global optimisation | 0 | 0.34 | 2017 |
Multi-Resolution Climate Ensemble Parameter Analysis with Nested Parallel Coordinates Plots. | 14 | 0.56 | 2017 |
Visualization of Time-Varying Weather Ensembles across Multiple Resolutions. | 11 | 0.50 | 2017 |
A high-order difference scheme for the fractional sub-diffusion equation. | 2 | 0.37 | 2017 |