RANS turbulence model development using CFD-driven machine learning. - Yaomin Zhao; Harshal D. Akolekar; Jack Weatheritt; Vittorio Michelassi; Richard D. Sandberg (J. Comput. Phys., 2020)

Multi-objective CFD-driven development of coupled turbulence closure models. - Fabian Waschkowski; Yaomin Zhao; Richard D. Sandberg; Joseph Klewicki (J. Comput. Phys., 2022)

A transformer-based convolutional method to model inverse cascade in forced two-dimensional turbulence. - Haochen Li; Jinhan Xie; Chi Zhang; Yuchen Zhang; Yaomin Zhao (J. Comput. Phys., 2025)

Data-driven quantum Koopman method for simulating nonlinear dynamics. - Baoyang Zhang; Zhen Lu; Yaomin Zhao; Yue Yang (CoRR, 2025)