PNNL

Yunxiang Chen is a mathematician in the Computational Mathematics group within Pacific Northwest National Laboratory’s (PNNL’s) Physical and Computational Sciences Directorate. Chen’s work at PNNL includes using computational, mathematical, and artificial intelligence (AI) tools to understand the hydro-biogeochemical processes in river ecosystems and the electrochemical processes in flow battery cells. 

Before moving to PNNL, Chen worked on numerical modeling of subglacial hydrology beneath the Greenland Ice Sheet, hydraulics in mountain streams, and 3D mesh generation development for complex in-stream structures in civil engineering at Pennsylvania State University and studied computational fluid dynamics, naval engineering, and ocean engineering at Shanghai Jiao Tong University and Huazhong University of Science and Technology.

Chen has a strong interest in using computational and computer vision AI methods to solve challenging problems related to water and fluid in Earth science and engineering. His career goal is to develop computational and observational capabilities to better predict dynamic changes in hydrology, clean energy, and engineering and to gain new knowledge of how Earth's water works and how humans can better utilize natural laws to create a better life. Thus far, Chen has been working on different research areas in hydrology, cryosphere, hydraulics, battery storage, mesh generation, drone-based remote sensing, and computer vision AI.

Additional details about Chen’s work can be found at https://sites.google.com/view/yunxiangchen.

• Computer vision AI
• Drones
• Computational fluid dynamics modeling
• Photogrammetry
• River hydrobiogeochemistry
• Flow battery electrochemistry
• Multiscale modeling

• Computational fluid dynamics
• Fluid mechanics
• Glaciology
• High-performance computing
• Hydraulic engineering
• Ocean engineering
• Photogrammetry
• Redox flow batteries
• Water resource engineering
• Drone operation

• PhD in civil engineering, Pennsylvania State University
• MS in naval architecture and ocean engineering, Shanghai Jiao Tong University
• BE in naval architecture and ocean engineering, Huazhong University of Science & Technology

• American Geophysical Union
• European Geosciences Union
• American Chemical Society
• American Society of Civil Engineers
• Electrochemical Society

2023

• Cao X., Y. Xu, L. Zou, J. Bao, Y. Chen, B.E. Matthews, and J. Hu, et al. 2023. "Stability of solid electrolyte interphases and calendar life of lithium metal batteries." Energy & Environmental Science 16, no. 4:1548-1559. PNNL-SA-167955. doi:10.1039/D2EE03557J
• Chen Y., J. Bao, Z. Xu, P. Gao, L. Yan, S. Kim, and W. Wang. 2023. "A hybrid analytical and numerical model for cross-over and performance decay in a unit cell vanadium redox flow battery." Journal of Power Sources 578. PNNL-SA-181017. doi:10.1016/j.jpowsour.2023.233210
• Fu Y., J. Bao, C. Zeng, Y. Chen, Z. Xu, S. Kim, and W. Wang. 2023. "A Three-Dimensional Pore-scale Model for Redox Flow Battery Electrode Design Analysis." Journal of Power Sources 556. PNNL-SA-175492. doi:10.1016/j.jpowsour.2022.232329
• Zeng C., S. Kim, Y. Chen, Y. Fu, J. Bao, Z. Xu, and W. Wang. 2023. "In-situ characterization of kinetics, mass transfer, and active electrode surface area for vanadium redox flow batteries." Journal of Electrochemical Society 170, no. 3:030507. PNNL-SA-173834. doi:10.1149/1945-7111/acbf7f

2022

• Acharya B., B. Ahmmed, Y. Chen, J. Davison, L. Haygood, R.T. Hensley, and R.T. Hensley, et al. 2022. "Hydrological Perspectives on Integrated, Coordinated, Open, Networked (ICON) Science." Earth and Space Science 9, no. 4:e2022EA002320. PNNL-SA-172282. doi:10.1029/2022EA002320
• Bao J., Y. Chen, Y. Fang, X. Song, W.A. Perkins, Z. Duan, and P. Shuai, et al. 2022. "Modeling framework for evaluating the impacts of hydrodynamic pressure on hydrologic exchange fluxes and residence time for a large-scale river section over a long-term period." Environmental Modelling & Software 148. PNNL-SA-152147. doi:10.1016/j.envsoft.2021.105277
• Chen Y., J. Bao, Y. Fang, W.A. Perkins, H. Ren, X. Song, and Z. Duan, et al. 2022. "Modeling of streamflow in a 30 km long reach spanning 5 years using OpenFOAM 5.x." Geoscientific Model Development 15, no. 7:2917-2947. PNNL-SA-151719. doi:10.5194/gmd-15-2917-2022
• Zeng C., S. Kim, Y. Chen, Y. Fu, J. Bao, Z. Xu, and W. Wang. 2022. "Characterization of electrochemical behavior for aqueous organic redox flow batteries." Journal of Electrochemical Society 169, no. 12:Art. No. 120527. PNNL-SA-178207. doi:10.1149/1945-7111/acadad

2021

• Chen Y., J. Bao, Z. Xu, P. Gao, L. Yan, S. Kim, and W. Wang. 2021. "A two-dimensional analytical unit cell model for redox flow battery evaluation and optimization." Journal of Power Sources 506. PNNL-SA-159241. doi:10.1016/j.jpowsour.2021.230192
• Chen Y., Z. Xu, C. Wang, J. Bao, B.J. Koeppel, L. Yan, and P. Gao, et al. 2021. "Analytical modeling for redox flow battery design." Journal of Power Sources 482. PNNL-SA-150736. doi:10.1016/j.jpowsour.2020.228817
• Song X., Y. Fang, J. Bao, H. Ren, Z. Duan, W.A. Perkins, and H. Zhou, et al. 2021. "Scale-dependent spatial variabilities of hydrological exchange flows and transit time in a large regulated river." Journal of Hydrology 598. PNNL-SA-152146. doi:10.1016/j.jhydrol.2021.126283
• Perez Mesa G., J.D. Gomez Velez, X. Chen, T.D. Scheibe, Y. Chen, and J. Bao. 2021. "Identification of Characteristic Spatial Scales to Improve the Performance of Analytical Spectral Solutions to the Groundwater Flow Equation." Water Resources Research 57, e2021WR031044. PNNL-SA-167236. doi:10.1029/2021WR031044