3 papers
cond-mat.mtrl-sci2026
Machine Learning Modeling of Temperature-Dependent Optoelectronic Properties of Anharmonic Solid Solutions
Pol BenÃtez, Cibrán López, Edgardo Saucedo +1
Leveraging strong optoelectronic responses to external stimuli, such as temperature and electric fields, is central to the development of advanced photonic technologies, including…
cond-mat.mtrl-sci2025
Defect-Limited Efficiency of Pnictogen Chalcohalide Solar Cells
Cibrán López, Seán R. Kavanagh, Pol BenÃtez +4
Pnictogen chalcohalides (MChX) have recently emerged as promising nontoxic and environmentally friendly photovoltaic absorbers, combining strong light absorption coefficients with…
cond-mat.mtrl-sci2025
Why Physics Still Matters: Improving Machine Learning Prediction of Material Properties with Phonon-Informed Datasets
Pol BenÃtez, Cibrán López, Edgardo Saucedo +2
Machine learning (ML) methods have become powerful tools for predicting material properties with near first-principles accuracy and vastly reduced computational cost. However, the…