uw-cmg/MAST-SEY

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Created about 5 years ago
Updated almost 2 years ago

uw-cmg/MAST-SEY

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Monte Carlo Modeling of Secondary Electron Emission using fully DFT input

MAST-ML

MAterials Simulation Toolkit for Machine Learning (MAST-ML)

Jupyter Notebook

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

MAST

MAterials Simulation Toolkit for use with pymatgen

MoleProp

Jupyter Notebook

MATLAB-loop-detection

StructOpt

MNS_CD

This is the Cluster Dynamics code for evolution of Mn-Ni-Si in low-Cu RPV steels

DefectSTEMVideoAnalysis

Defect STEM Video Analysis

Jupyter Notebook

ML_bandgap

Jupyter Notebook

StructOpt_modular

A flexible and modular Structure Optimization suite for combining experimental data with energy simulations to create atomic structures.

GAN-STEM-Conv2MultiSlice

ML-error

ML4XraySpecklePattern

Codes for Machine learning for interpreting coherent X-ray speckle patterns

Jupyter Notebook

MeghanPanccystmachine

Codes for machine learning of Panccyst Cancer

Jupyter Notebook

Multitype-Defect-Detection

Multitype Defect Detection with Faster R-CNN

MedicalImgAnalysis-BleedingSitesDetection

Medical Image Analysis Project

Jupyter Notebook

atomtouch

AtomTouch: App for Interactive Exploration of the Nanoworld

superconductor_model

material_error_bar_predictions

Vidit's work on error bar predictions.

model_metallicglass_Dmax

Random forest model to predict the maximum casting diameter of metallic glasses