World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
70
Citations
17859
World Ranking
1047
National Ranking
200

Overview

Dongxiao Zhang is affiliated with the Southern University of Science and Technology in China. Their research spans multiple areas within engineering, with a particular focus on ocean engineering, artificial intelligence, mechanical engineering, mechanics of materials, and computational mechanics.

The scientist's work targets several main topics, including hydraulic fracturing and reservoir analysis, model reduction and neural networks, drilling and well engineering, reservoir engineering and simulation methods, hydrocarbon exploration and reservoir analysis, energy load and power forecasting, and seismic imaging and inversion techniques.

Frequent co-authors of Dongxiao Zhang include Yuntian Chen, Nanzhe Wang, Hao Xu, Sanbai Li, and Haibin Chang, demonstrating a collaborative research approach across diverse projects.

Their recent publications indicate a focus on the application of deep learning and theory-guided modeling to complex physical and energy systems. Notable papers include:

  • "Deep learning of subsurface flow via theory-guided neural network" (2020, Journal of Hydrology)
  • "Deep learning based forecasting of photovoltaic power generation by incorporating domain knowledge" (2021, Energy)
  • "Theory-guided hard constraint projection (HCP): A knowledge-based data-driven scientific machine learning method" (2021, Journal of Computational Physics)
  • "Theory-guided deep-learning for electrical load forecasting (TgDLF) via ensemble long short-term memory" (2020, Advances in Applied Energy)
  • "DLGA-PDE: Discovery of PDEs with incomplete candidate library via combination of deep learning and genetic algorithm" (2020, Journal of Computational Physics)

Dongxiao Zhang's work is frequently published in venues such as arXiv (Cornell University), Zenodo (CERN European Organization for Nuclear Research), SSRN Electronic Journal, SPE Journal, and Journal of Hydrology.

The research profile of Dongxiao Zhang reflects extensive engagement with engineering disciplines, integrating computational techniques and physical modeling to address challenges in energy forecasting, reservoir engineering, and fluid dynamics.

Best Publications

  • Stochastic Methods for Flow in Porous Media: Coping with Uncertainties

    Dongxiao Zhang

  • Efficient Ensemble-Based Closed-Loop Production Optimization

    Yan Chen;Dean S. Oliver;Dongxiao Zhang

  • An efficient, high-order perturbation approach for flow in random porous media via Karhunen-Loève and polynomial expansions

    Dongxiao Zhang;Zhiming Lu

  • Data assimilation for transient flow in geologic formations via ensemble Kalman filter

    Yan Chen;Dongxiao Zhang

  • Lattice Boltzmann pore-scale model for multicomponent reactive transport in porous media

    Qinjun Kang;Peter C. Lichtner;Dongxiao Zhang

  • Comprehensive review of caprock-sealing mechanisms for geologic carbon sequestration.

    Juan Song;Dongxiao Zhang

  • Pore scale study of flow in porous media: Scale dependency, REV, and statistical REV

    Dongxiao Zhang;Raoyang Zhang;Shiyi Chen;Wendy E. Soll

  • Displacement of a two-dimensional immiscible droplet in a channel

    Qinjun Kang;Dongxiao Zhang;Shiyi Chen

  • Lattice Boltzmann simulation of chemical dissolution in porous media.

    Qinjun Kang;Qinjun Kang;Dongxiao Zhang;Shiyi Chen;Shiyi Chen;Xiaoyi He

  • Probabilistic collocation method for flow in porous media: Comparisons with other stochastic methods

    Heng Li;Heng Li;Dongxiao Zhang;Dongxiao Zhang

  • Convective stability analysis of the long-term storage of carbon dioxide in deep saline aquifers

    Xiaofeng Xu;Shiyi Chen;Shiyi Chen;Dongxiao Zhang;Dongxiao Zhang

  • An improved lattice Boltzmann model for multicomponent reactive transport in porous media at the pore scale

    Qinjun Kang;Peter C. Lichtner;Dongxiao Zhang

  • Deep learning of subsurface flow via theory-guided neural network

    Nanzhe Wang;Dongxiao Zhang;Haibin Chang;Heng Li

  • Mechanisms for Geological Carbon Sequestration

    Dongxiao Zhang;Juan Song

  • Synthetic well logs generation via Recurrent Neural Networks

    Dongxiao Zhang;Yuntian Chen;Jin Meng

  • Deep learning based forecasting of photovoltaic power generation by incorporating domain knowledge

    Xing Luo;Dongxiao Zhang;Xu Zhu;Xu Zhu

  • Simulation of dissolution and precipitation in porous media

    Qinjun Kang;Qinjun Kang;Dongxiao Zhang;Shiyi Chen;Shiyi Chen

  • Unified lattice Boltzmann method for flow in multiscale porous media.

    Qinjun Kang;Qinjun Kang;Dongxiao Zhang;Shiyi Chen;Shiyi Chen

  • Data assimilation for distributed hydrological catchment modeling via ensemble Kalman filter

    Xianhong Xie;Dongxiao Zhang;Dongxiao Zhang

  • Numerical simulation of proppant transport in hydraulic fracture with the upscaling CFD-DEM method

    Junsheng Zeng;Heng Li;Dongxiao Zhang

Frequent Co-Authors

Shiyi Chen
Shiyi Chen Southern University of Science and Technology
Qinjun Kang
Qinjun Kang Los Alamos National Laboratory
Shlomo P. Neuman
Shlomo P. Neuman University of Arizona
Jichun Wu
Jichun Wu Nanjing University
Alberto Guadagnini
Alberto Guadagnini Polytechnic University of Milan
Philip H. Stauffer
Philip H. Stauffer Los Alamos National Laboratory
Alexander Y. Sun
Alexander Y. Sun The University of Texas at Austin
Xia-Ting Feng
Xia-Ting Feng Northeastern University
Hamdi A. Tchelepi
Hamdi A. Tchelepi Stanford University
Shirish Patil
Shirish Patil King Fahd University of Petroleum and Minerals

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