<link>https://zhileihan.com/</link></image><item><title>CV</h1> <article> <h1>CV</h1> <p>Tue, 11 Aug 2026 00:00:00 +0000</p> </article> <article> <h1>Experience</h1> <p>Tue, 11 Aug 2026 00:00:00 +0000</p> </article> <article> <h1>Research</h1> <p>Tue, 11 Aug 2026 00:00:00 +0000</p> </article> <article> <h1>Software</h1> <p>Tue, 11 Aug 2026 00:00:00 +0000</p> </article> <article> <h1>Deep Learning-Assisted Flash Calculations for Underground Hydrogen Storage</h1> <p>Mon, 01 Jun 2026 00:00:00 +0000</p> <p>This work combines conventional thermodynamic flash calculations with deep-learning-assisted phase stability and initialization to improve computational efficiency for compositional underground hydrogen storage simulation.</p> </article> <article> <h1>A novel robust optimization framework based on surrogate modeling for underground hydrogen storage in depleted natural gas reservoirs</h1> <p>Mon, 25 Aug 2025 00:00:00 +0000</p> <p>This work develops a surrogate-model-based robust optimization framework for underground hydrogen storage in depleted natural gas reservoirs, targeting computationally efficient evaluation of reservoir and operational uncertainty.</p> </article> <article> <h1>Numerical Simulation of Coupling Compositional Two-Phase Flow and Micro-Bio Reactive Transport in Underground Hydrogen Storage</h1> <p>Sat, 01 Mar 2025 00:00:00 +0000</p> <p>This work develops a numerical framework coupling compositional two-phase flow with microbial reactive transport to investigate hydrogen loss and fluid-composition changes caused by subsurface microbial activity during underground hydrogen storage.</p> </article> </main></body></html>