Yexin Feng
Papers
1
Total Citations
174
H-Index
1
About
Yexin Feng is a leading researcher in the field of perovskite photovoltaics, with a focus on understanding and improving material stability through innovative computational and experimental approaches. Their most cited work, “Discovery of temperature-induced stability reversal in perovskites using high-throughput robotic learning” (2021, 174 citations), challenges conventional understanding by revealing that cation engineering effects on perovskite stability can reverse at operating temperatures compared to accelerated ageing tests at higher temperatures. This breakthrough demonstrates the critical importance of testing materials under realistic conditions and showcases Feng’s pioneering use of high-throughput robotic learning to accelerate discovery. Their contributions have reshaped how the community evaluates perovskite durability, directly impacting the design of more stable solar cells. With over 174 citations on this key paper alone, Feng’s work is widely recognized for its methodological innovation and practical significance. Their research continues to bridge the gap between laboratory-scale stability tests and real-world device performance, making them a vital voice in the quest for commercially viable perovskite photovoltaics.
Research Focus
Key Achievements
Top Papers
- 1