Wiley Dunlap-Shohl

Wiley Dunlap-Shohl is a Researcher in the Department of Chemistry, focusing on advanced materials science with a specialization in perovskite semiconductors, solar cell technology, and machine learning-driven material discovery. His work emphasizes understanding degradation mechanisms in hybrid organic-inorganic materials under environmental stressors, chiral chemistry effects in catalysis and nanostructures, and optimizing thin film deposition techniques for optoelectronic applications.

His research spans interdisciplinary areas including material stability analysis, high-throughput materials exploration, and computational modeling of material performance. Key contributions include developing machine learning models to predict perovskite solar cell lifetimes and elucidating reaction mechanisms for photooxidation processes.

Publications highlight trends in perovskite degradation kinetics, chiral imprinting on quantum dots, and novel deposition methods like resonant infrared matrix-assisted pulsed laser evaporation (RIR-MAPLE). These studies address critical challenges in renewable energy technologies and materials durability.

No scientific awards or student advisees are listed in the provided information. His work is primarily experimental with computational integration, focusing on advancing next-generation photovoltaic materials and sustainable energy solutions.