216 citations · 242 across the 4 of their papers we have counts for
4 papers
Discovering explicit Reynolds-averaged turbulence closures for turbulent separated flows through deep learning-based symbolic regression with non-linear corrections
Hongwei Tang, Yan Wang, Tongguang Wang +1
This work introduces a novel data-driven framework to formulate explicit algebraic Reynolds-averaged Navier-Stokes (RANS) turbulence closures. Recent years have witnessed a blossom…
Robust active flow control over a range of Reynolds numbers using an artificial neural network trained through deep reinforcement learning
Hongwei Tang, Jean Rabault, Alexander Kuhnle +2
This paper focuses on the active flow control of a computational fluid dynamics simulation over a range of Reynolds numbers using deep reinforcement learning (DRL). More precisely,…
MoS Dual-gate Transistors with Electrostatically Doped Contacts
Fuyou Liao, Yaocheng Sheng, Zhongxun Guo +15
Two-dimensional (2D) transition metal dichalcogenides (TMDs) such as molybdenum disulfide (MoS2) have been intensively investigated because of their exclusive physical properties f…
High-Performance Logic and Memory Devices Based on a Dual-Gated MoS2 Architecture
Fuyou Liao, Zhongxun Guo, Yin Wang +13
In this work, we demonstrate a dual-gated (DG) MoS2 field effect transistors (FETs) in which the degraded switching performance of multilayer MoS2 can be compensated by the DG stru…