Jianfeng Lu
Papers
2
Total Citations
46
H-Index
2
About
Jianfeng Lu is a leading researcher at the intersection of materials science and artificial intelligence, with a primary focus on advancing the stability and efficiency of perovskite solar cells. His most significant contributions lie in the development of quasi-two-dimensional (2D) Ruddlesden–Popper perovskites, a promising class of materials that address the critical stability issues plaguing conventional perovskite photovoltaics. Lu pioneered a groundbreaking methodology that integrates machine learning with high-throughput fabrication, enabling the rapid exploration and optimization of the vast compositional space of these complex materials. This approach, detailed in his highly cited 2023 work (43 citations), dramatically accelerates the discovery of stable, high-performance solar cell formulations, moving beyond traditional trial-and-error methods. By combining computational prediction with automated experimentation, Lu’s research has established a new paradigm for materials discovery, directly impacting the development of next-generation, commercially viable solar panels. His work is recognized for its innovative fusion of data-driven techniques with experimental validation, positioning him as a key figure in the push toward affordable and durable renewable energy technologies.
Research Focus
Key Achievements
Top Papers
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