72 citations · 72 across the 2 of their papers we have counts for
4 papers
LEAP: A closed-loop framework for perovskite precursor additive discovery
Xin-De Wang, Zhi-Rui Chen, Ze-Feng Gao +3
Efficient discovery of precursor additives is essential for improving the performance of perovskite solar cells, yet the large chemical space makes conventional trial-and-error scr…
Perovskite-R1: a domain-specialized large language model for intelligent discovery of precursor additives and experimental design
Xin-De Wang, Zhi-Rui Chen, Peng-Jie Guo +3
Perovskite solar cells (PSCs) have rapidly emerged as a leading contender in next-generation photovoltaic technologies, owing to their exceptional power conversion efficiencies and…
HTSC-2025: A Benchmark Dataset of Ambient-Pressure High-Temperature Superconductors for AI-Driven Critical Temperature Prediction
Xiao-Qi Han, Ze-Feng Gao, Xin-De Wang +3
The discovery of high-temperature superconducting materials holds great significance for human industry and daily life. In recent years, research on predicting superconducting tran…
AI-driven inverse design of materials: Past, present and future
Xiao-Qi Han, Xin-De Wang, Meng-Yuan Xu +5
The discovery of advanced materials is the cornerstone of human technological development and progress. The structures of materials and their corresponding properties are essential…