C
Chao Huang
Researcher at University of Science and Technology Beijing
Publications - 102
Citations - 3868
Chao Huang is an academic researcher from University of Science and Technology Beijing. The author has contributed to research in topics: Photovoltaic system & Water splitting. The author has an hindex of 26, co-authored 83 publications receiving 2138 citations. Previous affiliations of Chao Huang include University of Macau & City University of Hong Kong.
Papers
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Thermal vapor condensation of uniform graphitic carbon nitride films with remarkable photocurrent density for photoelectrochemical applications
TL;DR: In this article, a thermal vapor condensation method was proposed for depositing uniform graphitic carbon nitride (g-CN) films on various substrates using melamine as a precursor.
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Recent advance and prospectives of electrocatalysts based on transition metal selenides for efficient water splitting
Xiang Peng,Yujiao Yan,Xun Jin,Chao Huang,Weihong Jin,Weihong Jin,Biao Gao,Biao Gao,Paul K. Chu +8 more
TL;DR: In this article, transition metal selenides (TMSes) are proposed as potential electrocatalysts for both HER and OER due to their special layered structure, relatively narrow bandgap, unique morphology, and low cost.
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A Prediction Model-Guided Jaya Algorithm for the PV System Maximum Power Point Tracking
Chao Huang,Long Wang,Ryan Shun-Cheung Yeung,Zijun Zhang,Henry Shu-Hung Chung,Alain Bensoussan +5 more
TL;DR: In this paper, the authors proposed a natural cubic-spline-guided Jaya algorithm (S-Jaya) for solving the maximum power point tracking (MPPT) problem of PV systems under partial shading conditions.
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Artificial intelligence in sustainable energy industry: Status Quo, challenges and opportunities
Tanveer Ahmad,Tanveer Ahmad,Dongdong Zhang,Chao Huang,Chao Huang,Hongcai Zhang,Ning-Yi Dai,Yonghua Song,Yonghua Song,Huanxin Chen +9 more
TL;DR: How AI techniques outperform traditional models in controllability, big data handling, cyberattack prevention, smart grid, IoT, robotics, energy efficiency optimization, predictive maintenance control, and computational efficiency is explored.
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Recent progress in nanostructured transition metal nitrides for advanced electrochemical energy storage
TL;DR: In this article, transition metal nitrides (TMNs) have been shown to possess improved EES properties because they boast potential synergistic effects that ameliorate the electron and ion conductivity, prevent agglomeration, enhance the active sites and improve the electrochemical stability.