Artikel dengan mandat akses publik - Yucheng FuPelajari lebih lanjut
Tidak tersedia di mana pun: 1
In situ characterization of kinetics, mass transfer, and active electrode surface area for vanadium redox flow batteries
C Zeng, S Kim, Y Chen, Y Fu, J Bao, Z Xu, W Wang
Journal of The Electrochemical Society 170 (3), 030507, 2023
Mandat: US Department of Energy
Tersedia di suatu tempat: 22
Understanding of low‐porosity sulfur electrode for high‐energy lithium–sulfur batteries
Y Fu, RK Singh, S Feng, J Liu, J Xiao, J Bao, Z Xu, D Lu
Advanced Energy Materials 13 (13), 2203386, 2023
Mandat: US Department of Energy
Low-tortuous and dense single-particle-layer electrode for high-energy lithium-sulfur batteries
S Feng, RK Singh, Y Fu, Z Li, Y Wang, J Bao, Z Xu, G Li, C Anderson, ...
Energy & Environmental Science 15 (9), 3842-3853, 2022
Mandat: US Department of Energy
Hydrodynamics of countercurrent flows in a structured packed column: Effects of initial wetting and dynamic contact angle
RK Singh, J Bao, C Wang, Y Fu, Z Xu
Chemical Engineering Journal 398, 125548, 2020
Mandat: US Department of Energy
Integration of conductivity probe with optical and x-ray imaging systems for local air–water two-phase flow measurement
D Wang, K Song, Y Fu, Y Liu
Measurement Science and Technology 29 (10), 105301, 2018
Mandat: US Department of Energy
Hydrodynamics of countercurrent flow in an additive-manufactured column with triply periodic minimal surfaces for carbon dioxide capture
RK Singh, Y Fu, C Zeng, P Roy, J Bao, Z Xu, G Panagakos
Chemical Engineering Journal 450, 138124, 2022
Mandat: US Department of Energy
Investigation of countercurrent flow profile and liquid holdup in random packed column with local CFD data
Y Fu, J Bao, R Singh, C Wang, Z Xu
Chemical Engineering Science 221, 115693, 2020
Mandat: US Department of Energy
Enhanced physics-constrained deep neural networks for modeling vanadium redox flow battery
QZ He, Y Fu, P Stinis, A Tartakovsky
Journal of Power Sources 542 (15), 231807, 2022
Mandat: US Department of Energy
A three-dimensional pore-scale model for redox flow battery electrode design analysis
Y Fu, J Bao, C Zeng, Y Chen, Z Xu, S Kim, W Wang
Journal of Power Sources 556, 232329, 2023
Mandat: US Department of Energy
Investigation of air-water two-phase flow characteristics in a 25.4 mm diameter circular pipe
D Wang, S Shi, Y Fu, K Song, X Sun, A Tentner, Y Liu
Progress in Nuclear Energy 138, 103813, 2021
Mandat: US Department of Energy
Physics-informed machine learning of redox flow battery based on a two-dimensional unit cell model
W Chen, Y Fu, P Stinis
Journal of Power Sources 584, 233548, 2023
Mandat: US Department of Energy
The influence of random packed column parameters on the liquid holdup and interfacial area
Y Fu, J Bao, RK Singh, RF Zheng, CM Anderson‐Cook, KS Bhat, Z Xu
AIChE journal 68 (8), e17691, 2022
Mandat: US Department of Energy
CFD Study of Countercurrent Flow in Triply Periodic Minimal Surfaces with CO2BOL Solvent
Y Fu, J Bao, C Wang, RK Singh, Z Xu, G Panagakos
Pacific Northwest National Lab.(PNNL), Richland, WA (United States), 2019
Mandat: US Department of Energy
Characterization of electrochemical behavior for aqueous organic redox flow batteries
C Zeng, S Kim, Y Chen, Y Fu, J Bao, Z Xu, W Wang
Journal of The Electrochemical Society 169 (12), 120527, 2022
Mandat: US Department of Energy
Prediction of grain structure after thermomechanical processing of U-10Mo alloy using sensitivity analysis and machine learning surrogate model
Y Fu, WE Frazier, KS Choi, L Li, Z Xu, VV Joshi, A Soulami
Scientific Reports 12 (1), 10917, 2022
Mandat: US Department of Energy
Microstructure-process relationships in monolithic U-10Mo fuel foil single-pass rolling: A parametric simulation study
WE Frazier, L Li, KS Choi, Y Fu, Z Xu, VV Joshi, A Soulami
Journal of Nuclear Materials 576, 154271, 2023
Mandat: US Department of Energy
Behavior and properties of helium cavities in ductile-phase-toughened tungsten irradiated with He+ ions at an elevated temperature
W Jiang, L Kovarik, K Kruska, Y Fu, Z Hu, L Shao, W Setyawan
Materialia 29, 101789, 2023
Mandat: US Department of Energy
Latent space simulation for carbon capture design optimization
B Bartoldson, R Wang, Y Fu, D Widemann, S Nguyen, J Bao, Z Xu, B Ng
Proceedings of the AAAI conference on artificial intelligence 36 (11), 12447 …, 2022
Mandat: US Department of Energy
Development of a Comprehensive Two-Phase Flow Database for the Validation of NEK-2P
Y Liu, D Wang, Y Fu, K Song, X Sun, S Shi, Q Liu, A Tentner, P Vegendla, ...
Virginia Polytechnic Inst. and State Univ.(Virginia Tech), Blacksburg, VA …, 2020
Mandat: US Department of Energy
Experimental measurement of the effective contact angle for solvent/packing interactions in a structured packed column for CO2 capture
RK Singh, J Yao, Y Fu, D Barpaga, Z Xu
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States), 2023
Mandat: US Department of Energy
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