Accelerated Design of Layered Materials with Bayesian Optimization
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Updated
Dec 10, 2018 - Python
Accelerated Design of Layered Materials with Bayesian Optimization
Automatic Prediction of Band Gaps of Inorganic Materials using Machine Learning
R package to calculate optical band gap of semiconductors from UV-Vis spectra using the Tauc method
Automated direct band gap extractor from many measured reflectance samples at a time using recursive segmentation and regression fitting of Tauc plots.
Small database of band gaps and band energies for semiconductors commonly encountered in the PEC field
Band Gap ML Project from my ML for Physicists class in Fall 2020.
Band Gap Prediction for low-dimensional antimony(III) and bismuth(III) halides with 1D-anions.
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