Kyung Chun Kim

Super-resolution reconstruction of turbulent velocity fields using a generative adversarial network-based artificial intelligence framework

Zhiwen Deng, Chuangxin He, Yingzheng Liu et al. · Physics of Fluids · 2019 · 272 citations

Natural Sciences, Computer Science, Computational Fluid Dynamics +12

Progress and challenges on the thermal management of electrochemical energy conversion and storage technologies: Fuel cells, electrolysers, and supercapacitors

Saman Rashidi, Nader Karimi, Bengt Sundén et al. · Progress in Energy and Combustion Science · 2021 · 257 citations · Full text

Engineering, Chemical Engineering, Mechanical Engineering +17

Investigation of organic Rankine cycles with zeotropic mixtures as a working fluid: Advantages and issues

Gholamreza Bamorovat Abadi, Kyung Chun Kim · Renewable and Sustainable Energy Reviews · 2017 · 159 citations

Natural Sciences, Chemical Engineering, Materials Science +9

Time-resolved turbulent velocity field reconstruction using a long short-term memory (LSTM)-based artificial intelligence framework

Zhiwen Deng, Yujia Chen, Yingzheng Liu et al. · Physics of Fluids · 2019 · 134 citations

Computing, Computational Engineering, Computer Science +15

Thermodynamic analysis of a novel dual-loop organic Rankine cycle for engine waste heat and LNG cold

Taehong Sung, Kyung Chun Kim · Applied Thermal Engineering · 2016 · 130 citations

Engineering, Chemical Engineering, Mechanical Engineering +16