Pinned Repositories
2s986_class
autoXRD
Automatic XRD classification for thin-film materials using CNNs, Class Activation Maps and Data Augmentation
bayesim
Bayes for anything!
BayesProcess
Physics informed Bayesian network + autoencoder for matching process / variable / performance in solar cells.
Benchmarking
Benchmarking
capping-layer
Perovskite capping layer code
FTCP
FTCP code
PDE-Extraction
SL-PerovskiteOpt
This is a code and data repository to conduct Bayesian Optimization with knowledge constraints for manufacturing process of perovskite solar cells
ZoMBI
Zooming Memory Based Initialization (ZoMBI) algorithm for discovery of optima within challenging needle-in-a-haystack (extreme data imbalance) datasets.
Accelerated Materials Laboratory for Sustainability's Repositories
PV-Lab/BayesProcess
Physics informed Bayesian network + autoencoder for matching process / variable / performance in solar cells.
PV-Lab/FTCP
FTCP code
PV-Lab/Benchmarking
Benchmarking
PV-Lab/bayesim
Bayes for anything!
PV-Lab/ZoMBI
Zooming Memory Based Initialization (ZoMBI) algorithm for discovery of optima within challenging needle-in-a-haystack (extreme data imbalance) datasets.
PV-Lab/SL-PerovskiteOpt
This is a code and data repository to conduct Bayesian Optimization with knowledge constraints for manufacturing process of perovskite solar cells
PV-Lab/thicknessML
PV-Lab/ML-Multiscale-Droplets
PV-Lab/PvkAdditives
Hypothesis generation using combination of RFE, random forest regression/ classification, and SHAP for additives in perovskite single-crystal synthesis.
PV-Lab/Autocharacterization-Bandgap
Automatic band gap calculation of arbitrarily many semiconductor deposits from reflectance hypercube using computer vision segmentation.
PV-Lab/Constrained-BO
PV-Lab/hte_degradation_chamber
High throughput degradation chamber for aging perovskite samples under extreme humidity, heat, and illumination.
PV-Lab/MLforCOE
Machine learning modelling for novel antibiotics domains - here conjugated oligoelectrolytes
PV-Lab/PV-ML-Starter-Kit
Starter kit for photovoltaics optimization using machine learning.
PV-Lab/Autocharacterization-Stability
Automatic stability calculation of arbitrarily many semiconductor deposits from degradation experimental data using computer vision segmentation.
PV-Lab/Automatic-Band-Gap-Extractor
Automated direct band gap extractor from many measured reflectance samples at a time using recursive segmentation and regression fitting of Tauc plots.
PV-Lab/cluster-perovskite-data
Clustering perovskite degradation data (sample colors vs. time) and plotting XRD for cluster centroids
PV-Lab/dissimatrix
Dissimilarity matrix analysis for perovskite cappping-absorber pairs degradation data
PV-Lab/hte_degradation_chamber_gen2
High throughput degradation chamber for aging perovskite samples under extreme humidity and illumination.
PV-Lab/Archerfish
Archerfish: A Retrofitted 3D Printer for General High-throughput Combinatorial Experimentation
PV-Lab/CompStruct
PV-Lab/Synthesizability-Filter
PV-Lab/ZoMBI-Hop
PV-Lab/Robotic_Liquid_Handling
Code developed for use on Opentrons robots for automated liquid handling
PV-Lab/BayesMC
Bayesian parameter estimation with MCMC
PV-Lab/DiSCO
PV-Lab/perovskit
Open-source code accelerating the development of perovskite solar cells
PV-Lab/RGBanalysis
RGB analysis codes for film degradation chamber.
PV-Lab/Robotic-Conductivity-Probe-Optimization
This toolkit provides robust methods for image segmentation and path planning, employing Meta AI's Segment Anything model and optimization techniques for efficient pathfinding.
PV-Lab/tonio-presentations
Slides from Tonio Buonassisi's presentations