Ken Kaushal
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View article: Bayesian optimization and prediction of the durability of triple-halide perovskite thin films under light and heat stressors
Bayesian optimization and prediction of the durability of triple-halide perovskite thin films under light and heat stressors Open
A machine learning regression model robustly predicts phase instability in wide bandgap halide perovskites by linking the spectral variation in 60-second photoluminescence tests to tests under 800 h, 1-sun, 85 °C conditions.
View article: PASCAL: the perovskite automated spin coat assembly line accelerates composition screening in triple-halide perovskite alloys
PASCAL: the perovskite automated spin coat assembly line accelerates composition screening in triple-halide perovskite alloys Open
PASCAL enables systematic exploration and data-driven analysis within the halide perovskite composition space, showcasing its efficacy as an automated platform for solution-processed optoelectronic thin film research.