HW
Haopeng Wang
KU Leuven, NingboTech Univesity/Ningbo Key Laboratory of Extreme Sealing, University of Chinese Academy of Sciences, Southwest University of Science and Technology
Research areas: Physics and Astronomy · Astronomy and Astrophysics · Solar and Space Plasma Dynamics · Ionosphere and magnetosphere dynamics · Stellar, planetary, and galactic studies
0000-0002-4217-6990
Employment
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KU Leuven Post-doctoral researcher2023 - 2026
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NingboTech Univesity/Ningbo Key Laboratory of Extreme Sealing Lecture2023 - 2023
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PIESAT Information Technology Co., Ltd Intern2022 - 2022
Education
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University of Chinese Academy of Sciences PhD student2017 - 2022
- 2013 - 2017
Projects & Funding
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Data-driven MHD modeling of the solar corona Specialized Research Fund for State Key Laboratories(China)2023 - 2024
Publications (26)
- Qorona: Open, Model-agnostic Line-of-sight Rendering of the Perpendicular Squashing Factor for Eclipse-like Coronal Imaging Save
- COCONUT: Towards practical time-evolving Sun-to-Earth magnetohydrodynamic modelling Save
- Revisiting magnetohydrodynamic modelling of the 2024 total solar eclipse with AI-reconstructed far-side photospheric field data Save
- Statistical Analysis of Coronal Hole Spatiotemporal Evolution, Kinematics, and Lifetimes over 1.5 Solar Cycles Save
- MHD Modeling of Magnetic Flux Evolution Around Solar Maximum by the Coronal Model COCONUT Save
- EGU LUNEX 2026 Total Solar Eclipse Campaign in Spain: Early Career Scientist Multiwavelength Observations and Outreach Save
- HERMES: Highly Efficient and quasi-Realistic Modeling of coronal mass Ejections in a time-evolving Solar-terrestrial background Save
- Total Eclipse on August 12, 2026: observations in Spain and prediction with COCONUT Save
- COCONUT: A Coronal Model with an Energy Decomposition Strategy Save
- Modelling the total solar eclipse in 2024 with COCONUT Save
- Artificial-intelligence-based Reconstruction of Solar Farside Vector Magnetograms from Multispacecraft Extreme-ultraviolet Data Save
- SIP-IFVM: An Observation-based Magnetohydrodynamic Model of a Coronal Mass Ejection Save
- Fast Reconstruction of Solar Wind Magnetohydrodynamic Parameters at 0.1 au with Machine Learning Save
- Time-evolving coronal modelling of the solar maximum around the solar storms in May 2024 by COCONUT Save
- Prediction of Time-evolving Radial Magnetic Fields on the Solar Surface Using Deep Learning Save
- SIP-IFVM: A Time-evolving Coronal Model with an Extended Magnetic Field Decomposition Strategy Save
- Efficient and Quasi-realistic Magnetohydrodynamic Modeling of Coronal Mass Ejection Propagation and Evolution Save
- Integrating Machine Learning and Solar Physics for Enhanced Prediction of CME Arrival Times and Near-Sun Solar Wind Conditions Save
- Efficient magnetohydrodynamic modelling of the time-evolving corona by COCONUT Save
- SIP-IFVM: Efficient time-accurate magnetohydrodynamic model of the corona and coronal mass ejections Save