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Wang, Jian-Xun

  1. Predicting Physics in Mesh-reduced Space with Temporal Attention
    2022/01/22 by 韩旭, Han, Xu, Gao, Han +4 · 20 citations
    Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Model Reduction and Neural Networks
  2. Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data
    2020/01/15 by Luning Sun, Jianxun Wang, Sun, Luning +1 · 8 citations
    Computer Science · Engineering · Physics and Astronomy · #Advanced Image Processing Techniques #Computational Physics (physics.comp-ph) #Data Analysis #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Fluid Dynamics and Turbulent Flows #Model Reduction and Neural Networks #Statistics and Probability (physics.data-an)
  3. Bayesian Conditional Diffusion Models for Versatile Spatiotemporal Turbulence Generation
    2023/11/14 by Han Gao, Gao, Han, Xu Han +11 · 9 citations
    Computer Science · Earth and Planetary Sciences · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Meteorological Phenomena and Simulations #Model Reduction and Neural Networks
  4. Neural Differentiable Modeling with Diffusion-Based Super-resolution for Two-Dimensional Spatiotemporal Turbulence
    2024/06/28 by Xiantao Fan, Deepak Akhare, Fan, Xiantao +3 · 10 citations
    Earth and Planetary Sciences · Engineering · Environmental Science · #Computational Physics (physics.comp-ph) #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Fluid Dynamics and Turbulent Flows #Meteorological Phenomena and Simulations #Wind and Air Flow Studies
  5. Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics with Quantified Uncertainty
    2022/10/14 by Luning Sun, Sun, Luning, Daniel Zhengyu Huang +5 · 5 citations
    Computer Science · Engineering · Physics and Astronomy · #Artificial Intelligence (cs.AI) #Control Systems and Identification #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Model Reduction and Neural Networks
  6. CoNFiLD: Conditional Neural Field Latent Diffusion Model Generating Spatiotemporal Turbulence
    2024/03/09 by Pan Du, Meet Hemant Parikh, Du, Pan +7 · 6 citations
    Earth and Planetary Sciences · #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Meteorological Phenomena and Simulations
  7. Physics-Informed Deep Learning for Solving Phonon Boltzmann Transport Equation with Large Temperature Non-Equilibrium
    2022/01/12 by Ruiyang Li, Jianxun Wang, Li, Ruiyang +5 · 3 citations
    Engineering · Materials Science · Physics and Astronomy · #Computational Physics (physics.comp-ph) #FOS: Physical sciences #Heat Transfer and Optimization #Model Reduction and Neural Networks #Thermal properties of materials
  8. SeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domain
    2022/10/25 by Pu Ren, Chengping Rao, Ren, Pu +6 · 3 citations
    Earth and Planetary Sciences · Engineering · Physics and Astronomy · #Computational Physics (physics.comp-ph) #Drilling and Well Engineering #FOS: Computer and information sciences #FOS: Physical sciences #Geophysics (physics.geo-ph) #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Seismic Imaging and Inversion Techniques
  9. P2C2Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics
    2024/10/29 by Wang, Qi, Ren, Pu, Zhou, Hao +10 · 9 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Numerical Analysis (math.NA)
  10. Differentiable hybrid neural modeling for fluid-structure interaction
    2023/03/23 by Xiantao Fan, Fan, Xiantao, Jianxun Wang +1 · 3 citations
    Engineering · Physics and Astronomy · #Computational Engineering #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Finance #Fluid Dynamics and Vibration Analysis #Lattice Boltzmann Simulation Studies #Model Reduction and Neural Networks #and Science (cs.CE)
  11. JAX-BTE: A GPU-Accelerated Differentiable Solver for Phonon Boltzmann Transport Equations
    2025/03/31 by Shang, Wenjie, Zhou, Jiahang, Panda, J. P. +5 · 5 citations
    #Computational Physics (physics.comp-ph) #FOS: Physical sciences #Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
  12. CoNFiLD-inlet: Synthetic Turbulence Inflow Using Generative Latent Diffusion Models with Neural Fields
    2024/11/21 by Xin‐Yang Liu, Liu, Xin-Yang, Meet Hemant Parikh +11 · 4 citations
    Physics and Astronomy · #FOS: Computer and information sciences #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Machine Learning (cs.LG) #Model Reduction and Neural Networks
  13. Probabilistic Physics-integrated Neural Differentiable Modeling for Isothermal Chemical Vapor Infiltration Process
    2023/11/13 by Deepak Akhare, Zeping Chen, Akhare, Deepak +7 · 2 citations
    Engineering · #Advanced machining processes and optimization #Epoxy Resin Curing Processes #FOS: Computer and information sciences #Injection Molding Process and Properties #Machine Learning (cs.LG)
  14. Diff-FlowFSI: A GPU-Optimized Differentiable CFD Platform for High-Fidelity Turbulence and FSI Simulations
    2025/05/29 by Xiantao Fan, Xin‐Yang Liu, Fan, Xiantao +5 · 5 citations
    Mathematics · Engineering · #Gas Dynamics and Kinetic Theory #Plasma and Flow Control in Aerodynamics #Fluid Dynamics and Turbulent Flows
  15. Conditional flow matching for generative modeling of near-wall turbulence with quantified uncertainty
    2025/04/20 by Parikh, Meet Hemant, Fan, Xiantao, Wang, Jian-Xun · 3 citations
    #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn)
  16. PatchGT: Transformer over Non-trainable Clusters for Learning Graph Representations
    2022/11/26 by Han Gao, Xu Han, Gao, Han +7 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Bioinformatics and Genomic Networks #FOS: Computer and information sciences #FOS: Mathematics #Geometric Topology (math.GT) #Machine Learning (cs.LG)
  17. DiffHybrid-UQ: Uncertainty Quantification for Differentiable Hybrid Neural Modeling
    2023/12/30 by Deepak Akhare, Akhare, Deepak, Tengfei Luo +3 · 1 citation
    Physics and Astronomy · Computer Science · Decision Sciences · #Model Reduction and Neural Networks #Gaussian Processes and Bayesian Inference #Probabilistic and Robust Engineering Design
  18. Predicting Stress and Damage in Carbon Fiber-Reinforced Composites Deformation Process using Composite U-Net Surrogate Model
    2025/04/19 by Chen, Zeping, Yacouti, Marwa, Shakiba, Maryam +3 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)