Xi Lin

Harbin Institute of Technology — China

Energy · Physical Sciences

42h-index5.8kcitations164works5.72yr avg
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Research Topics

Electrocatalysts for Energy Conversion(43), Advanced Thermoelectric Materials and Devices(23), Advanced battery technologies research(21), Machine Learning in Materials Science(18), Thermal properties of materials(17)

Publications164 total

Different performance of metal-N-C catalyst in dual-electron and multi-electron zinc-iodide battery systems
Materials Today Energy·2026
Dual-model machine learning for collaborative optimization of efficiency and stability in perovskite solar cells
Chemical Engineering Journal·2025
Enhanced selective extraction of bioactive components from Haematococcus pluvialis by using temperature-responsive microemulsions composed of deep eutectic solvents
Separation and Purification Technology·2025· 1 cited
Balancing Nucleation and Growth Kinetics Enables Fully‐Coordinated Acetic Acid‐Tethered Metal–Organic Frameworks for Technoeconomic‐Viable Hydrogen Storage
Advanced Energy Materials·2025· 2 cited
Roadmap Toward the Production, Storage, Transportation, and Applications of Green Hydrogen
Carbon and Hydrogen·2025· 2 citedOpen Access
Machine Learning‐Driven Perovskite Research from Experimental Exploration to Industrial Development
Solar RRL·2025· 1 cited
Synthesis of the infrared transparent and conductive DLC coating based on PLD
Infrared Physics & Technology·2025· 1 cited
A green ammonia utilization pathway: Integrated ammonia-solid oxide fuel cell systems for efficient power generation
EnergyChem·2025· 3 cited
Dual-function hydrogen selective catalytic reduction (H2-SCR): enabling NOx reduction to ammonia synthesis
International Journal of Hydrogen Energy·2025· 3 cited
Machine learning for predictive design and optimization of high-performance thermoelectric materials: a review
Journal of Materials Informatics·2025· 4 citedOpen Access
Corrosion-resistant nanoporous high-entropy non-noble metal alloys for salinity tolerance seawater electrolysis
Journal of Power Sources·2025· 7 cited
Integration of Microstructural Image Data into Machine Learning Models for Advancing High-Performance Perovskite Solar Cell Design
ACS Energy Letters·2025· 14 cited
Inverse Design of High-Performance Thermoelectric Materials via a Generative Model Combined with Experimental Verification
ACS Applied Materials & Interfaces·2025· 7 cited
Free-standing nanoporous high-entropy phosphides as high-performance water splitting catalysts
International Journal of Hydrogen Energy·2025· 5 cited
Co‐doping‐induced electronic reconfiguration of nanosized ZnS for facilitating oxygen reduction reaction in flexible aluminum–air batteries
Rare Metals·2025· 6 cited
Enhancing perovskite solar cell efficiency and stability: a multimodal prediction approach integrating microstructure, composition, and processing technology
Nanoscale·2025· 8 cited
Enhancing Power Conversion Efficiency of Perovskite Solar Cells Through Machine Learning Guided Experimental Strategies
Advanced Functional Materials·2024· 13 cited
High-Performance stacking ensemble learning for thermoelectric figure-of-merit prediction
Materials & Design·2024· 9 citedOpen Access
An electron-transfer-tuning strategy at the graphene/metal interface for improving acidic water electrolysis in proton exchange membrane electrolyzers
Journal of Energy Chemistry·2024· 7 cited
Photoluminescent metal-organic frameworks and their composites: Fundamentals, applications, and outlooks
Coordination Chemistry Reviews·2024· 26 cited
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Frequent Co-authors

Hua‐Jun Qiu(24), Xingjun Liu(23), Guoqiang Xie(15), Kailong Hu(13), Zeyu Jin(9), Yixuan Hu(8), Kolan Madhav Reddy(8), Huanglong Li(6), Zuhuang Chen(6), Xinyu Wang(5), Xuyan Zhou(5), Jiaojiao Gao(5), Juan Lyu(5), Xiaorong Lin(5), Sidney Yip(5), Chen Chen(5), Qian Zhang(5), Qunhui Yuan(4), Yilu Zhao(4), Ju Li(4)