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D-Index & Metrics

Engineering and Technology

D-Index
46
Citations
20553
World Ranking
5021
National Ranking
1422

Overview

Dongbin Xiu is affiliated with The Ohio State University in the United States. Their research spans several interdisciplinary fields including Computer Science, Physics and Astronomy, and Engineering. They have a significant presence in subfields such as Statistical and Nonlinear Physics, Artificial Intelligence, Statistics, Probability and Uncertainty, Control and Systems Engineering, and Aerospace Engineering.

Their work covers a variety of main topics, prominently featuring Model Reduction and Neural Networks, Probabilistic and Robust Engineering Design, Neural Networks and Applications, Nuclear Engineering Thermal-Hydraulics, Gaussian Processes and Bayesian Inference, Fault Detection and Control Systems, and Control Systems and Identification.

Dongbin Xiu has coauthored multiple publications with several frequent collaborators, notably Victor Churchill, Yuan Chen, Kailiang Wu, Tong Qin, and Zhongshu Xu.

The scientist's recent papers include:

  • Data-driven deep learning of partial differential equations in modal space, 2020, Journal of Computational Physics
  • On generalized residual network for deep learning of unknown dynamical systems, 2021, Journal of Computational Physics
  • Data-Driven Learning of Nonautonomous Systems, 2021, SIAM Journal on Scientific Computing
  • Deep Neural Network Modeling of Unknown Partial Differential Equations in Nodal Space, 2021, arXiv (Cornell University)
  • DEEP LEARNING OF PARAMETERIZED EQUATIONS WITH APPLICATIONS TO UNCERTAINTY QUANTIFICATION, 2020, International Journal for Uncertainty Quantification

The frequent publication venues for Dongbin Xiu's research work include:

  • arXiv (Cornell University)
  • Journal of Machine Learning for Modeling and Computing
  • Journal of Computational Physics
  • SIAM Journal on Scientific Computing
  • SSRN Electronic Journal

Best Publications

  • The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations

    Dongbin Xiu;George Em Karniadakis

  • High-Order Collocation Methods for Differential Equations with Random Inputs

    Dongbin Xiu;Jan S. Hesthaven

  • Numerical Methods for Stochastic Computations: A Spectral Method Approach

    Dongbin Xiu

  • Modeling uncertainty in flow simulations via generalized polynomial chaos

    Dongbin Xiu;George Em Karniadakis

  • Fast numerical methods for stochastic computations: A review

    Dongbin Xiu

  • Modeling Uncertainty in Steady State Diffusion Problems via Generalized Polynomial Chaos

    Dongbin Xiu;George Em Karniadakis

  • Efficient collocational approach for parametric uncertainty analysis

    Dongbin Xiu

  • Numerical Methods for Stochastic Computations

    Dongbin Xiu

  • Stochastic Modeling of Flow-Structure Interactions Using Generalized Polynomial Chaos

    Dongbin Xiu;Didier Lucor;C.-H. Su;George Em Karniadakis

  • A stochastic collocation approach to Bayesian inference in inverse problems

    Youssef Marzouk;Dongbin Xiu

  • Data driven governing equations approximation using deep neural networks

    Tong Qin;Kailiang Wu;Dongbin Xiu

  • A new stochastic approach to transient heat conduction modeling with uncertainty

    Dongbin Xiu;George Em Karniadakis

  • Numerical Methods for Differential Equations in Random Domains

    Dongbin Xiu;Daniel M. Tartakovsky

  • A semi-Lagrangian high-order method for Navier-Stokes equations

    Dongbin Xiu;George Em Karniadakis

  • Evaluation of failure probability via surrogate models

    Jing Li;Dongbin Xiu

  • STOCHASTIC COLLOCATION ALGORITHMS USING 𝓁 1 -MINIMIZATION

    Liang Yan;Ling Guo;Dongbin Xiu

  • A generalized polynomial chaos based ensemble Kalman filter with high accuracy

    Jia Li;Dongbin Xiu

  • Galerkin method for wave equations with uncertain coefficients

    David Gottlieb;Dongbin Xiu

  • A STOCHASTIC COLLOCATION ALGORITHM WITH MULTIFIDELITY MODELS

    Akil Narayan;Claude Jeffrey Gittelson;Dongbin Xiu

  • The Wiener-Askey polynomial chaos for stochastic differential equations

    D. B. Xiu

Frequent Co-Authors

George Em Karniadakis
George Em Karniadakis Brown University
Ioannis G. Kevrekidis
Ioannis G. Kevrekidis Johns Hopkins University
Robert M. Kirby
Robert M. Kirby University of Utah
Shi Jin
Shi Jin Shanghai Jiao Tong University
Spencer J. Sherwin
Spencer J. Sherwin Imperial College London
Jie Shen
Jie Shen Eastern Institute of Technology, Ningbo
Gianluca Iaccarino
Gianluca Iaccarino Stanford University
Jan S. Hesthaven
Jan S. Hesthaven Karlsruhe Institute of Technology
Zhimei Sun
Zhimei Sun Beihang University

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