Search Results - "Park, Sihwan"

Efficient Heat Exchange Configuration for Sub-Cooling Cycle of Hydrogen Liquefaction Process by Park, Sihwan, Noh, Wonjun, Park, Jaedeuk, Park, Jinwoo, Lee, Inkyu

“…The hydrogen liquefaction process is highly energy-intensive owing to its cryogenic characteristics, and a large proportion of the total energy is consumed in…”
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Liquid hydrogen cold energy recovery to enhance sustainability: Optimal design of dual-stage power generation cycles by Mun, Haneul, Park, Sihwan, Lee, Inkyu

“…Liquid hydrogen (LH2) is a promising hydrogen carrier because of its high density. However, liquefying hydrogen requires considerable energy and expenses. To…”
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Cost optimization methodology based on carbon-techno-economic analysis: An application to post-combustion carbon capture process by Park, Sihwan, Mun, Haneul, Park, Jinwoo, Lee, Inkyu

“…Recently, a carbon tax has been introduced to encourage emissions reduction, and it has become an additional cost burden. To evaluate the carbon emissions and…”
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Comparative design, thermodynamic and techno‐economic analysis of utilizing liquefied natural gas cold energy for hydrogen liquefaction processes by Noh, Wonjun, Park, Sihwan, Kim, Junghwan, Lee, Inkyu

“…Summary This study mainly focuses on determining the optimal configuration that efficiently utilizes liquefied natural gas (LNG) cold energy in hydrogen…”
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A hybrid framework of first-principles model and machine learning for optimizing control parameters in chemical processes by Noh, Wonjun, Park, Sihwan, Kim, Sojung, Lee, Inkyu

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Systems design and techno-economic analysis of a novel cryogenic carbon capture process integrated with an air separation unit for autothermal reforming blue hydrogen production system by Noh, Wonjun, Park, Sihwan, Kim, Yurim, Lee, Jaewon, Kim, Junghwan, Lee, Inkyu

“…In the transition of the global energy paradigm toward decarbonization, hydrogen is expected to play a crucial role as an energy vector. To enhance the…”
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Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel by Kim, SungYub, Park, Sihwan, Kim, Kyungsu, Yang, Eunho

“…Explaining generalizations and preventing over-confident predictions are central goals of studies on the loss landscape of neural networks. Flatness, defined…”
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LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding by Jang, Doohyuk, Park, Sihwan, Yang, June Yong, Jung, Yeonsung, Yun, Jihun, Kundu, Souvik, Kim, Sung-Yub, Yang, Eunho

“…Auto-Regressive (AR) models have recently gained prominence in image generation, often matching or even surpassing the performance of diffusion models…”
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