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Cheng Peng 0005
Person information
- affiliation: Shandong University, School of Mechanical Engineering, Key Laboratory of High Efficiency and Clean Mechanical Manufacture, Jinan, China
- affiliation: Pennsylvania State University, Department of Energy and Mineral Engineering, University Park, PA, USA
- affiliation (PhD 2018): University of Delaware, Spencer Laboratory, Newark, DE, USA
Other persons with the same name
- Cheng Peng — disambiguation page
- Cheng Peng 0001 — Hunan University of Technology, School of Computer and Communication, Zhuzhou, China (and 1 more)
- Cheng Peng 0002 — North China Electric Power University, School of Energy, Power and Mechanical Engineering, Beijing, China
- Cheng Peng 0003 — Macau University of Science and Technology, Faculty of Information Technology, Macau
- Cheng Peng 0004 — Shanghai Jiao Tong University, Institute of Image Processing and Pattern Recognition, China
- Cheng Peng 0006 — Massachusetts Institute of Technology, MA, USA
- Cheng Peng 0007 — University of California, Los Angeles, LA, USA
- Cheng Peng 0008 — Johns Hopkins University, Artificial Intelligence for Engineering and Medicine Lab, MD, USA (and 1 more)
- Cheng Peng 0009 — Xidian University, School of Artificial Intelligence, Xi'an, China
- Cheng Peng 0010 — University of Minnesota, Department of Computer Science and Engineering, MN, USA
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2020 – today
- 2024
- [j12]Cheng Peng, Lian-Ping Wang, Li Ji, Songying Chen, Zuchao Zhu:
Lattice Boltzmann simulations of homogeneous shear turbulence laden with finite-size particles. Comput. Math. Appl. 154: 65-77 (2024) - [j11]Zehua Zhang, Cheng Peng, Chengxiang Li, Hua Zhang, Tao Xian, Lian-Ping Wang:
A highly-efficient locally encoded boundary scheme for lattice Boltzmann method on GPU. Comput. Phys. Commun. 298: 109119 (2024) - 2023
- [j10]Cheng Peng, Xinnan Wu, Lian-Ping Wang, Li Ji:
Direct numerical simulation of homogeneous shear turbulence subject to a shear periodic boundary with the lattice Boltzmann method. Comput. Math. Appl. 146: 192-199 (2023) - 2021
- [j9]Cheng Peng, Luis F. Ayala, Orlando Ayala:
A thermodynamically consistent pseudo-potential lattice Boltzmann model for multi-component, multiphase, partially miscible mixtures. J. Comput. Phys. 429: 110018 (2021)
2010 – 2019
- 2019
- [j8]Lian-Ping Wang, Haoda Min, Cheng Peng, Nicholas Geneva, Zhaoli Guo:
A lattice-Boltzmann scheme of the Navier-Stokes equation on a three-dimensional cuboid lattice. Comput. Math. Appl. 78(4): 1053-1075 (2019) - [j7]Cheng Peng, Zhaoli Guo, Lian-Ping Wang:
A lattice-BGK model for the Navier-Stokes equations based on a rectangular grid. Comput. Math. Appl. 78(4): 1076-1094 (2019) - [j6]Haoda Min, Cheng Peng, Zhaoli Guo, Lian-Ping Wang:
An inverse design analysis of mesoscopic implementation of non-uniform forcing in MRT lattice Boltzmann models. Comput. Math. Appl. 78(4): 1095-1114 (2019) - 2018
- [j5]Cheng Peng, Nicholas Geneva, Zhaoli Guo, Lian-Ping Wang:
Direct numerical simulation of turbulent pipe flow using the lattice Boltzmann method. J. Comput. Phys. 357: 16-42 (2018) - 2017
- [j4]Nicholas Geneva, Cheng Peng, Xiaoming Li, Lian-Ping Wang:
A scalable interface-resolved simulation of particle-laden flow using the lattice Boltzmann method. Parallel Comput. 67: 20-37 (2017) - 2016
- [j3]Yuan Zong, Cheng Peng, Zhaoli Guo, Lian-Ping Wang:
Designing correct fluid hydrodynamics on a rectangular grid using MRT lattice Boltzmann approach. Comput. Math. Appl. 72(2): 288-310 (2016) - [j2]Cheng Peng, Yihua Teng, Brian Hwang, Zhaoli Guo, Lian-Ping Wang:
Implementation issues and benchmarking of lattice Boltzmann method for moving rigid particle simulations in a viscous flow. Comput. Math. Appl. 72(2): 349-374 (2016) - [j1]Cheng Peng, Haoda Min, Zhaoli Guo, Lian-Ping Wang:
A hydrodynamically-consistent MRT lattice Boltzmann model on a 2D rectangular grid. J. Comput. Phys. 326: 893-912 (2016)
Coauthor Index
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