A multi-objective Bayesian optimization environment for systematic design of numerical schemes for compressible flow. - Yiqi Feng; Felix S. Schranner; Josef M. Winter; Nikolaus A. Adams (J. Comput. Phys., 2022)

A deep reinforcement learning framework for dynamic optimization of numerical schemes for compressible flow simulations. - Yiqi Feng; Felix S. Schranner; Josef M. Winter; Nikolaus A. Adams (J. Comput. Phys., 2023)

An Improved Model-Free Predictive Current Control for PMSM Drives Based on Current Circle Tracking Under Low-Speed Conditions. - Yiqi Feng; Chengning Zhang; Shengping Huang; Shuo Zhang; Jianzhen Qu; Zhaozong Li; Li Zhai; Yue Zhao (IEEE Access, 2024)

A general multi-objective Bayesian optimization framework for the design of hybrid schemes towards adaptive complex flow simulations. - Yiqi Feng; Josef M. Winter; Nikolaus A. Adams; Felix S. Schranner (J. Comput. Phys., 2024)