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.
Band Gap Prediction for low-dimensional antimony(III) and bismuth(III) halides with 1D-anions.
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.
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