Xinyi Huang

Jan 15, 2025 | advanced.onlinelibrary.wiley.com | Chengli Rong |Biomolecular Engineering The |Xinyi Huang |Hamidreza Arandiyan

1 Introduction Oxygen evolution reaction (OER) is essential in renewable energy conversion systems, such as electrochemical water splitting, CO2/N2 reduction, reversible fuel cells, and rechargeable metal-air batteries.[1-6] However, OER is a kinetically sluggish reaction involving four-electron transfers, resulting in high overpotential with significant energy inputs; thus, OER is a major bottleneck to improving the efficiency of these renewable energy systems.[6-9] OER's slow reaction...

Jan 8, 2025 | link.aps.org | Xinyi Huang

The gradual suppression of the vertical motions and the emergence of large-scale horizontal structures in the late wake are commonly seen in a stratified wake flow. These long-lived coherent patterns are referred to as meandering and their impacts on the statistics are still not well studied. This paper aims to examine the kinematic impacts of the meandering effect in stratified wakes and how it affects the statistics of the velocity profiles, wake width, and wake height.

Mar 19, 2024 | mdpi.com | Xinyi Huang |Yilin Li |Jun Zhang |Qiang Feng

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Mar 2, 2024 | arxiv.org | Hang Lv |Xinyi Huang |Jiawei Zhang |Shiping Wang

Feb 8, 2023 | nature.com | Xinyi Huang

AbstractModel selection is a chronic issue in computational science. The conventional approach relies heavily on human experience. However, gaining experience takes years and is severely inefficient. To address this issue, we distill human experience into a recommender system. A trained recommender system tells whether a computational model does well or poorly in handling a physical process. It also tells if a physical process is important for a quantity of interest.