Brandon T. Motes

activity

20202025

most citedAccurate Determination of Semiconductor Diffusion Coefficient Using Optical Microscopy

29 citations · 29 across the 2 of their papers we have counts for

collaborators

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cond-mat.mtrl-sci2025

Predicting Trends in $V_{O C}$ Through Rapid, Multimodal Characterization of State-of-the-Art p-i-n Perovskite Devices

Amy E. Louks, Brandon T. Motes, Anthony T. Troupe +3

Perovskite photovoltaic technologies are approaching commercial deployment, yet single junction and tandem architectures both still have significant room to improve power conversio…

cond-mat.mtrl-sci2024

Predicting Organic-Inorganic Halide Perovskite Photovoltaic Performance from Optical Properties of Constituent Films through Machine Learning

Ruiqi Zhang, Brandon Motes, Shaun Tan +7

We demonstrate a machine learning (ML) approach that accurately predicts the current-voltage behavior of 3D/2D-structured (FAMA)Pb(IBr)3/OABr hybrid organic-inorganic halide perovs…

Predicting Trends in VOC​ Through Rapid, Multimodal Characterization of State-of-the-Art p-i-n Perovskite Devices

Predicting Organic-Inorganic Halide Perovskite Photovoltaic Performance from Optical Properties of Constituent Films through Machine Learning

Predicting Trends in $V_{O C}$ Through Rapid, Multimodal Characterization of State-of-the-Art p-i-n Perovskite Devices