Pinned Repositories
06_Python_Object_Class
Object-oriented programming (OOP) is a method of structuring a program by bundling related properties and behaviors into individual objects. In this tutorial, you’ll learn the basics of object-oriented programming in Python.
4D-BioSTEM
abTEM
ab initio Transmission Electron Microscopy
Analysis_of_Scanning_Electron_Microscopy_Data
BayesianOptimization
A Python implementation of global optimization with gaussian processes.
Cornell_EM_SummerSchool_2021
electron_diffraction_simulation
Electron Diffraction Simulation
Ptychography-reconstruction-by-WDD-method-and-aberration-measurement
WDD
ptychoSampling
Code for ptychography with tensorflow
SheffieldPtycho
MATLAB ptychography engines from Sheffield University
CGao-STEM's Repositories
CGao-STEM/electron_diffraction_simulation
Electron Diffraction Simulation
CGao-STEM/Ptychography-reconstruction-by-WDD-method-and-aberration-measurement
WDD
CGao-STEM/SheffieldPtycho
MATLAB ptychography engines from Sheffield University
CGao-STEM/06_Python_Object_Class
Object-oriented programming (OOP) is a method of structuring a program by bundling related properties and behaviors into individual objects. In this tutorial, you’ll learn the basics of object-oriented programming in Python.
CGao-STEM/4D-BioSTEM
CGao-STEM/abTEM
ab initio Transmission Electron Microscopy
CGao-STEM/BayesianOptimization
A Python implementation of global optimization with gaussian processes.
CGao-STEM/Cornell_EM_SummerSchool_2021
CGao-STEM/DeepLearning
深度学习入门教程, 优秀文章, Deep Learning Tutorial
CGao-STEM/Hyperspy_Workshop_2021
This repository contains the notebooks used for the 2021 Hyperspy Workshop at ePSIC, Diamond Light Source.
CGao-STEM/Jupyter
CGao-STEM/ML-ElectronMicroscopy-2023
CGao-STEM/MLSTEM2024
Machine Learning in Scanning Transmission Electron Microscopy Workshop 2024
CGao-STEM/MSE672-Introduction-to-TEM
MSE672 Course of the MSE Department at UTK in the Spring Semester 2021
CGao-STEM/Numfys_rus
Лабораторные работы по физике на языке Python
CGao-STEM/phase-recovery
Resources for phase recovery (also called phase imaging, phase retrieval, or phase reconstruction)
CGao-STEM/PtyLab.py
Python implementation of ptylab
CGao-STEM/Python
All Algorithms implemented in Python
CGao-STEM/RCworkshops
ASU Research Computing :: materials from hosted workshops
CGao-STEM/Revealing-Ferroelectric-Switching-Character-Using-Deep-Recurrent-Neural-Networks
The ability to manipulate domains and domain walls underpins function in a range of next-generation applications of ferroelectrics. While there have been demonstrations of controlled nanoscale manipulation of domain structures to drive emergent properties, such approaches lack an internal feedback loop required for automation. Here, using a deep sequence-to-sequence autoencoder we automate the extraction of features of nanoscale ferroelectric switching from multichannel hyperspectral band-excitation piezoresponse force microscopy of tensile-strained PbZr0.2Ti0.8O3 with a hierarchical domain structure. Using this approach, we identify characteristic behavior in the piezoresponse and cantilever resonance hysteresis loops, which allows for the classification and quantification of nanoscale-switching mechanisms. Specifically, we are able to identify elastic hardening events which are associated with the nucleation and growth of charged domain walls. This work demonstrates the efficacy of unsupervised neural networks in learning features of the physical response of a material from nanoscale multichannel hyperspectral imagery and provides new capabilities in leveraging multimodal in operando spectroscopies and automated control for the manipulation of nanoscale structures in materials.
CGao-STEM/SART
Three-dimensional electron density reconstruction using simultaneous algebraic reconstruction tomography
CGao-STEM/Self-Learning
Books Papers, Courses & more I have to learn soon
CGao-STEM/stem-learning
Package to use an FCN to learn defects from STEM imaging
CGao-STEM/stemtool
A single package for analyzing atomic resolution STEM, 4D-STEM and STEM-EELS datasets, along with basic STEM simulation functionality
CGao-STEM/tensorflow2_tutorials_chinese
tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials
CGao-STEM/tomography
CGao-STEM/tomography1
software for alignment and 3-D reconstruction of electron tomography tilt series
CGao-STEM/tomotools
A set of tools for aligning and reconstructing electron tomography data
CGao-STEM/tutorials
PtyPy tutorials
CGao-STEM/uncorrected_ptycho
This repo presents my personal collection of code and data used for the paper "Achieving sub-0.5-angstrom–resolution ptychography in an uncorrected electron microscope"