UW-Madison Computational Materials Group

University of Wisconsin-Madison

Pinned Repositories

DefectSTEMVideoAnalysis
Defect STEM Video Analysis
Language:Jupyter Notebook62
MAST
MAterials Simulation Toolkit for use with pymatgen
Language:Python17 12 4718
MAST-ML
MAterials Simulation Toolkit for Machine Learning (MAST-ML)
Language:Jupyter Notebook107 14 21361
MAST-SEY
Monte Carlo Modeling of Secondary Electron Emission using fully DFT input
Language:C++13 8 22
MATLAB-loop-detection
Language:MATLAB8 6 03
ML_bandgap
Language:Jupyter Notebook41
MoleProp
Language:Jupyter Notebook12 7 13
Multitype-Defect-Detection
Multitype Defect Detection with Faster R-CNN
Language:Python4 6 02
perovskite-oxide-stability-prediction
code package with elemental property dictionary that trains a model based on training dataset and gives prediction on new perovskite compounds
Language:Python25 8 117
StructOpt
Language:Forth4 13 74

UW-Madison Computational Materials Group's Repositories

uw-cmg/model_perovskite_tec
Random forest model to predict the thermal expansion coefficient of perovskites
Language:Python
uw-cmg/model_perovskite_formationE
Random forest model to predict the formation energy of perovskites
Language:Python
uw-cmg/model_perovskite_conductivity
Random forest model to predict the conductivity of perovskite oxides
Language:Python
uw-cmg/model_metallicglass_Rc_LLM
Random forest model to predict the critical cooling rate of metallic glasses (data from LLMs)
Language:Python
uw-cmg/model_metallicglass_Rc
Random forest model to predict the critical cooling rate of metallic glasses
Language:Python1
uw-cmg/model_metallicglass_Dmax
Random forest model to predict the maximum casting diameter of metallic glasses
Language:Python1
uw-cmg/model_heusler
Random forest model to predict the magnetization of Heusler alloys
Language:Python
uw-cmg/model_hea_hardness
Random forest model to predict the hardness of high entropy alloys
Language:Python
uw-cmg/model_elastic_tensor
Random forest model to predict the bulk modulus of materials
Language:Python
uw-cmg/model_double_perovskite_gap
Random forest model to predict the bandgap of double perovskites
Language:Python
uw-cmg/model_concrete
Random forest model to predict the compressive strength of concrete mixtures
Language:Python
uw-cmg/MAST
MAterials Simulation Toolkit for use with pymatgen
Language:Python178
uw-cmg/ASR_model
Random forest model for predicting stability and T-dependent area specific resistance of perovskite catalysts
Language:Jupyter Notebook
uw-cmg/CAMD
Agent-based sequential learning software for materials discovery
Language:Python
uw-cmg/CMG_Example_Model_Predictions
All models created by the Computational Materials Group (CMG) at the University of Wisconsin-Madison (UW-Madison) will reside here.
1
uw-cmg/MAST-SEY
Monte Carlo Modeling of Secondary Electron Emission using fully DFT input
Language:C++132
uw-cmg/superconductor_model
11
uw-cmg/diffusion_model
Language:Python
uw-cmg/StructOpt
Language:Forth44
uw-cmg/ML4XraySpecklePattern
Codes for Machine learning for interpreting coherent X-ray speckle patterns
Language:Jupyter Notebook21
uw-cmg/ML-error
Language:Python3
uw-cmg/nonuniform-emission
Language:MATLAB
uw-cmg/MeghanPanccystmachine
Codes for machine learning of Panccyst Cancer
Language:Jupyter Notebook22
uw-cmg/Multitype-Defect-Detection
Multitype Defect Detection with Faster R-CNN
Language:Python42
uw-cmg/ML_bandgap
Language:Jupyter Notebook41
uw-cmg/uw-cmg.github.io
Language:JavaScript
uw-cmg/MedicalImgAnalysis-BleedingSitesDetection
Medical Image Analysis Project
Language:Jupyter Notebook11
uw-cmg/DefectSTEMVideoAnalysis
Defect STEM Video Analysis
Language:Jupyter Notebook62
uw-cmg/GAN-STEM-Conv2MultiSlice
Language:Python24
uw-cmg/MATLAB-loop-detection
Language:Matlab83