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Hui Pan on Muck Rack

Hui Pan

Winchester
As seen in: Chemical Communications, Fiber Optics Sensors & Systems, Fiber Optics Weekly Update, Nature, Royal Society of Chemistry, Chemistry World
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Articles

A seismic reservoir permeability prediction approach based on gaussian process machine learning

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By Jinyong Gui, Shengjun Li, Bingyang Liu, Xin Guo, Hui Pan, Jianhu Gao
| Nature Verified
Abstract Predicting permeability using seismic attributes is challenging and fraught with great uncertainty. The inverse relationship, which acts as a bridge between permeability and seismic attributes, needs to be established accurately. Machine learning, especially Gaussian Process (GP), provides a new potential. However, its application to permeability prediction is influenced by the quantity and quality of input features.
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Energy-Efficient Seawater Lithium Extraction via a Reversible Redox-Hydrogen Coupled System

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By Yigang Wang, Sixie Yang, Yiwen Liu, Chang Wang, Hui Pan, Zhenjie Zhang, Ping He, Haoshen Zhou
| Nature Verified
Abstract The global surge in lithium demand poses growing challenges for supply security and sustainability, yet vast lithium reserves in seawater remain largely untapped due to extremely low Li⁺ concentrations and high levels of competing ions. Here, we present an integrated electrochemical system coupling direct lithium extraction from seawater with in situ energy storage and hydrogen co-production.
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Unravelling the Ru-promoted dynamic evolution of Cobalt hydroxide during nitrate reduction towards ammonia production

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By Di Liu, Haoyun Bai, Mingpeng Chen, Shuyang Peng, Jiaqian Kang, Lun Li, Ziwen Feng, Chunfa Liu, Weng Fai Ip, Hui Pan
| Nature Verified
Abstract Geen ammonia synthesis through electrochemical nitrate reduction (e-NO3R) using cost-effective Co-based catalysts is promising, but the inevitable structural evolution induced by reductive potentials compromises long-term stability and hinders practical implementation.
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