Discover PV-Lab/hte_degradation_chamber

Physics informed Bayesian network + autoencoder for matching process / variable / performance in solar cells.

BayesProcess

FTCP

Benchmarking

bayesim

capping-layer

Perovskite capping layer code

Zooming Memory Based Initialization (ZoMBI) algorithm for discovery of optima within challenging needle-in-a-haystack (extreme data imbalance) datasets.

ZoMBI

2s986_class

This is a code and data repository to conduct Bayesian Optimization with knowledge constraints for manufacturing process of perovskite solar cells

SL-PerovskiteOpt

PDE-Extraction

Bridging the gap between photovoltaics R&D and manufacturing with data-driven optimization

Data-Driven-PV

Sequential learning and optimization with physical probabilistic constraints.

SPProC

Hypothesis generation using combination of RFE, random forest regression/ classification, and SHAP for additives in perovskite single-crystal synthesis.

PvkAdditives

ML-Multiscale-Droplets

Code used to run SCAPS-1D simulations for https://doi.org/10.1016/j.joule.2017.10.001

pv_bayes

High throughput degradation chamber for aging perovskite samples under extreme humidity, heat, and illumination.

hte_degradation_chamber

C++

PV-ML-Starter-Kit

Starter kit for photovoltaics optimization using machine learning.

Machine learning modelling for novel antibiotics domains - here conjugated oligoelectrolytes

MLforCOE

Calculate basic semiconductor properties, such as intrinsic carrier densities, bandgap, and Fermi energies.

Semiconductor_properties

Automatic segmentation and measurement of perovskite stability.

Vision-Automatic-Stability-Measurement

Process PC-PL measurements taken into quantified lifetime, injection, and impurity concentration maps of samples

PC-PL

Processing scripts for free carrier absorption lifetime measurements.

FCA

Process micro-X-ray fluorescence measurements

Synchrotron

dissimatrix

Fork of GPyOpt adapted for constrained optimization using a physical DFT model.

GPyOpt_DFT

Clustering perovskite degradation data (sample colors vs. time) and plotting XRD for cluster centroids

cluster-perovskite-data

Constrained-BO

Automatic extraction of material compositions produced via high-throughput liquid deposition through computer vision and integrating motor speeds.

Vision-Automatic-Composition-Extractor

CompStruct

Process measured lifetime curves into surface recombination velocity and Shockley-Read-Hall lifetime. SRH lifetime can then be fitted for defect parameters.

Lifetime-spectroscopy

thicknessML

Fe_Si_Bayes_code

VAE and clustering for identifying XRD features change.

NIST-VAE-Clustering

ZoMBI-Hop

Automated direct band gap extractor from many measured reflectance samples at a time using recursive segmentation and regression fitting of Tauc plots.

Automatic-Band-Gap-Extractor

Automatic band gap calculation of arbitrarily many semiconductor deposits from reflectance hypercube using computer vision segmentation.

Vision-Automatic-Band-Gap-Extractor