3 citations · 4 across the 2 of their papers we have counts for
2 papers
cond-mat.mtrl-sci2025★ 1 cited
Machine Learning Reveals Composition Dependent Thermal Stability in Halide Perovskites
Abigail R. Hering, Mansha Dubey, Elahe Hosseini +5
Halide perovskites exhibit unpredictable properties in response to environmental stressors, due to several composition-dependent degradation mechanisms. In this work, we apply data…
cond-mat.mtrl-sci2020★ 3 cited
Quantitative predictions of photo-emission dynamics in metal halide perovskites via machine learning
John M. Howard, Qiong Wang, Erica Lee +5
Metal halide perovskite (MHP) optoelectronics may become a viable alternative to standard Si-based technologies, but the current lack of long-term stability precludes their commerc…