Jianxun Wang

1. Surrogate modeling for fluid flows based on physics-constrained deep learning without simulation data
   2019/11/21 by Luning Sun, Han Gao, Shaowu Pan +2 · 53 citations
   Physics and Astronomy · Decision Sciences · Engineering · #Model Reduction and Neural Networks #Probabilistic and Robust Engineering Design #Fluid Dynamics and Vibration Analysis
2. 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
3. Lactate metabolism in human health and disease
   2022/09/01 by Xiaolu Li, Yanyan Yang, Bei Zhang +7 · 16 citations
   Biochemistry, Genetics and Molecular Biology · #ATP Synthase and ATPases Research #Cancer, Hypoxia, and Metabolism #Mitochondrial Function and Pathology
4. 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)
5. 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
6. Neural Differentiable Modeling with Diffusion-Based Super-resolution for Two-Dimensional Spatiotemporal Turbulence
   2024/06/28 by Xiantao Fan, Fan, Xiantao, Deepak Akhare +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
7. Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics with Quantified Uncertainty
   2022/10/14 by Luning Sun, Daniel Zhengyu Huang, Sun, Luning +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
8. CoNFiLD: Conditional Neural Field Latent Diffusion Model Generating Spatiotemporal Turbulence
   2024/03/09 by Pan Du, Du, Pan, Meet Hemant Parikh +7 · 6 citations
   Earth and Planetary Sciences · #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Meteorological Phenomena and Simulations
9. 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
10. Differentiable hybrid neural modeling for fluid-structure interaction
    2023/03/23 by Xiantao Fan, Jianxun Wang, Fan, Xiantao +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. 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
12. 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)
13. 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
14. An advanced spatio-temporal convolutional recurrent neural network for storm surge predictions
    2022/04/18 by Ehsan Adeli, Luning Sun, Adeli, Ehsan +5 · 1 citation
    Earth and Planetary Sciences · #Artificial Intelligence (cs.AI) #Computational Engineering #FOS: Computer and information sciences #Finance #Machine Learning (cs.LG) #Meteorological Phenomena and Simulations #Precipitation Measurement and Analysis #Tropical and Extratropical Cyclones Research #and Science (cs.CE)
15. PatchGT: Transformer over Non-trainable Clusters for Learning Graph Representations
    2022/11/26 by Han Gao, Gao, Han, Xu 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)
16. DiffHybrid-UQ: Uncertainty Quantification for Differentiable Hybrid Neural Modeling
    2023/12/30 by Deepak Akhare, Tengfei Luo, Akhare, Deepak +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
17. Chain-of-Programming (CoP) : Empowering Large Language Models for Geospatial Code Generation
    2024/11/16 by Shuyang Hou, Hou, Shuyang, Haoyue Jiao +12 · 2 citations
    Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Geographic Information Systems Studies #Semantic Web and Ontologies #Service-Oriented Architecture and Web Services #Software Engineering (cs.SE)
18. An organ-wide spatiotemporal transcriptomic and cellular atlas of the regenerating zebrafish heart
    2025/04/19 by Lei Li, Meina Lu, Lidong Guo +33 · 1 voice · 1 citation
    Biochemistry, Genetics and Molecular Biology · Medicine · #Cancer-related molecular mechanisms research #Congenital heart defects research #Coronary Artery Anomalies