9 citations · 10 across the 12 of their papers we have counts for
5 papers · 1 filter
Surface Physics of Low-Dimensional Pnictogen Chalcohalides and Its Impact on Photovoltaic Technologies
Cibrán López, David Rovira, Álex Jiménez-Arguijo +3
Low-dimensional pnictogen chalcohalides (MChX; M = Bi, Sb; Ch = S, Se; X = I, Br) are promising non-toxic semiconductors for solar energy conversion, yet the power conversion effic…
Machine Learning-Accelerated Band-Edge Engineering of Pnictogen Chalcohalide Solid Solutions for Solar Energy Technologies
Cibrán López, David Rovira, Edgardo Saucedo +1
Pnictogen chalcohalide (MChX; M=Bi,Sb; Ch=S,Se; X=I,Br) solid solutions combine earth-abundant constituents, tunable band gaps (- eV), and strong optical absorption, maki…
Thermodynamics-Informed Machine Learning for Energy Materials Discovery
Pol Benítez, Cibrán López, Claudio Cazorla
Machine learning (ML) is transforming materials discovery by enabling rapid prediction of properties that previously required computationally expensive first-principles calculation…
Carrier Localization in Pnictogen-Based Chalcohalides from Defect-Bound Hot Polarons
Xiaoyu Guo, Junzhi Ye, Cibrán Lopez Alvarez +19
Pnictogen-based solar absorbers have gained prominence as promising nontoxic and stable alternatives to lead-halide perovskites (LHPs), but are severely limited by carrier localiza…
Machine Learning Modeling of Temperature-Dependent Optoelectronic Properties of Anharmonic Solid Solutions
Pol Benítez, 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…