袁保印｜广州大学｜学者主页

期刊论文

2026

High‑Entropy Perovskite Anodes for Efficient Water Oxidation Reaction in Protonic Ceramic Electrolysis Cells

Chunmei Tang, Xiaohan Zhang, Ziyu Wan, Yanping Yang, Yang Long, Letian Luo, Yuxin Kuang, Baoyin Yuan, Ling Meng, Dongxiang Luo, Lihong Huang, Ning Wang, Siyu Ye

Small

DOI

2026

Machine Learning Guided Research and Development of Key Materials for Water Electrolysis and Fuel Cells

Baoyin Yuan, Chunmei Tang, Ning Wang

DOI

2026

Three-phase-coexisting anode enabling high-performance water splitting in protonic solid oxide electrolysis cells

Fangyuan Zheng, Chen Song, Yanran Wang, Baoyin Yuan, Chunmei Tang, Liming Chen, Taikai Liu, Jie Mao, Ning Wang, S. Q. Ye

ENGINEERING Energy

DOI

2026

Rational Design of La 0.6 Sr 0.4 CoO 3− δ ‐Based Oxygen Electrodes for Solid Oxide Cells: Integrating Machine‐Learning Prediction With Experimental Characterization

Yanran Wang, Zhijia Huang, Baoyin Yuan, Xuan Li, Fangyuan Zheng, Chunmei Tang, Ling Meng, Qingwen Su, Jingwei Qiu, Xin Li, Chen Song, Ning Wang, Siyu Ye

Carbon Neutralization

DOI

2026

Enhanced Performance of Protonic Ceramic Electrolysis Cells through a Machine-Learning-Designed Anode and an Optimized Half-Cell Preparation Process

X X Li, Ning Wang, Yue Wang, Huanxin Xiang, Fangyuan Zheng, Zhihang Shi, Ziqiang Zou, Chunmei Tang, Ling Meng, Lei Du, Baoyin Yuan, S. Q. Ye

Precision Chemistry

DOI

2026

AI guided the development of materials science: a perspective

Ziyu Wan, Xinyi Xie, Chunmei Tang, S. Q. Ye, Baoyin Yuan, Ning Wang

Renewable and Sustainable Energy

DOI

2026

Enhancing efficiency and accuracy of structural feature recognition in battery cathode materials by collaborating Kolmogorov–Arnold Networks (KANs) with a cross-attention mechanism

Zechen Li, Yuxing Gong, Wei Zhang, Ning Wang, Chunyu Zhu, Huijun Yang, Hiroaki Kobayashi, Baoyin Yuan, Ruijie Zhu

Digital Discovery

DOI

2025

Machine Learning Tailored Anodes for Efficient Hydrogen Energy Generation in Proton-Conducting Solid Oxide Electrolysis Cells

Fangyuan Zheng, Baoyin Yuan, Youfeng Cai, Huanxin Xiang, Chunmei Tang, Ling Meng, Lei Du, Xiting Zhang, Feng Jiao, Yoshitaka Aoki, Ning Wang, Siyu Ye

Nano-Micro Letters

DOI

2025

Significantly Enhanced Electrocatalytic Activity of Air Electrodes in Protonic Ceramic Cells by A‐Site Deficiency Engineering

Huanxin Xiang, Fangyuan Zheng, Ning Wang, Chunmei Tang, Baoyin Yuan, Qingwen Su, Xiaohan Zhang, Yoshitaka Aoki, S. Q. Ye

Small

DOI

2025

Stochastic Modeling and Transient Analysis of Epidemic Extinction Dynamics

Baoyin Yuan, Feng Jiao

Bulletin of Mathematical Biology

DOI

2025

Optimization of Performance at Air Electrode Side for Protonic Solid Oxide Cells: Advances and Machine Learning Guided Perspectives

Fangyuan Zheng, Huanxin Xiang, Liangjie Zhong, Xueling Wang, Xiaohan Zhang, Qingwen Su, Chunmei Tang, Ling Meng, Lei Du, Feng Jiao, Yoshitaka Aoki, Baoyin Yuan, Ning Wang, Siyu Ye

Small

DOI

2025

Rationally Designed Air Electrode Boosting Electrochemical Performance of Protonic Ceramic Cells

Chunmei Tang, Baoyin Yuan, Xiaohan Zhang, Fangyuan Zheng, Qingwen Su, Ling Meng, Lei Du, Dongxiang Luo, Yoshitaka Aoki, Ning Wang, Siyu Ye

Advanced Energy Materials

DOI

2025

Machine learning-driven discovery of high-performance Co/Sr-free air electrodes for protonic ceramic electrolysis cells

Ning Wang, Qingwen Su, Huanxin Xiang, Biyao Zhou, Jiaxin Huang, Fangyuan Zheng, Ruijie Zhu, Yoshitaka Aoki, Ling Meng, Feng Jiao, Baoyin Yuan, Chunmei Tang, Siyu Ye

eScience

DOI

预印本

2026

Importance may not be that important: A common misconception in data-driven materials development

Zechen Li, Yuxing Gong, Huijun Yang, Wei Cui, Baoyin Yuan, Hiroaki Kobayashi, Ruijie Zhu

ChemRxiv

DOI

2026

Hyper-realistic Materials Science Manuscripts Generated by Large Language Models: A Reminder for Materials Science Peer Review in the Face of AI Tools

Ruijie Zhu, Zhuoqi Zeng, Wei Zhang, Wei Lin Cui, Baoyin Yuan, Ning Wang, Chunyu Zhu, Akira Nasu, Masaki Matsui

SSRN Electronic Journal

DOI

袁保印

精选作品

期刊论文

High‑Entropy Perovskite Anodes for Efficient Water Oxidation Reaction in Protonic Ceramic Electrolysis Cells

Machine Learning Guided Research and Development of Key Materials for Water Electrolysis and Fuel Cells

Three-phase-coexisting anode enabling high-performance water splitting in protonic solid oxide electrolysis cells

Rational Design of La 0.6 Sr 0.4 CoO 3− δ ‐Based Oxygen Electrodes for Solid Oxide Cells: Integrating Machine‐Learning Prediction With Experimental Characterization

Enhanced Performance of Protonic Ceramic Electrolysis Cells through a Machine-Learning-Designed Anode and an Optimized Half-Cell Preparation Process

AI guided the development of materials science: a perspective

Enhancing efficiency and accuracy of structural feature recognition in battery cathode materials by collaborating Kolmogorov–Arnold Networks (KANs) with a cross-attention mechanism

Machine Learning Tailored Anodes for Efficient Hydrogen Energy Generation in Proton-Conducting Solid Oxide Electrolysis Cells

Significantly Enhanced Electrocatalytic Activity of Air Electrodes in Protonic Ceramic Cells by A‐Site Deficiency Engineering

Stochastic Modeling and Transient Analysis of Epidemic Extinction Dynamics

Optimization of Performance at Air Electrode Side for Protonic Solid Oxide Cells: Advances and Machine Learning Guided Perspectives

Rationally Designed Air Electrode Boosting Electrochemical Performance of Protonic Ceramic Cells

Machine learning-driven discovery of high-performance Co/Sr-free air electrodes for protonic ceramic electrolysis cells

预印本

Importance may not be that important: A common misconception in data-driven materials development

Hyper-realistic Materials Science Manuscripts Generated by Large Language Models: A Reminder for Materials Science Peer Review in the Face of AI Tools

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