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Comparison of different DWR-based h-adaptation method for solving steady Euler equations [preparation]

Joint work with Guanghui Hu

Optimizing molecular geometry using reinforcement learning with density functional theory [preparation]

Joint work with Guanghui Hu and Chengyu Liu

Towards the efficient calculation of quantity of interest from steady Euler equations I: a dual-consistent DWR-based h-adaptive Newton-GMG solver

Published in Communications in Computational Physics, Vol. 35, No. 3, pp. 579-608, 2023

On towards dual consistency of a DWR-based h-adaptive Newton-GMG framework for steady Euler equations

Towards automatic highly efficient DWR-based h-adaptive method in Newton-GMG framework for steady Euler equations

A hybrid CNNs-Dual approach for DWR-based mesh adaptation for solving steady Euler equations

Towards the fusion of mechanism and machine learning for shape optimal design of airfoil

A mechanism-driven reinforcement learning framework for shape optimization of airfoils

Towards the calculation of generalized target functional with multi-mesh approach

A Reinforcement Learning Framework for Shape Optimal Design of Airfoils Based on the Steady Euler Equations

MATH – 2004: Mathematical Analysis II (Tutorial Class)

MATH – 2003: Mathematical Analysis I (Tutorial Class)

MATH – 4000: Elementary Number Theory (Tutorial Class)

CISC – 1006: Probability and Statistics (Tutorial Class)

MATH – 4000: Elementary Number Theory (Tutorial Class)

CISC – 1006: Probability and Statistics (Tutorial Class)

MATH – 4000: Elementary Number Theory (Tutorial Class)

MATH - 1003: Intermediate Calculus (Tutorial Class)