cgao-stem Goto Github PK

py4dstem

python

All Algorithms implemented in Python

python-for-probability-statistics-and-machine-learning

Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"

python-projects

Collection of my Python projects

python_ptycho

rcworkshops

ASU Research Computing :: materials from hosted workshops

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.

sart

Three-dimensional electron density reconstruction using simultaneous algebraic reconstruction tomography

self-learning

Books Papers, Courses & more I have to learn soon

sheffieldptycho

MATLAB ptychography engines from Sheffield University

statstem

stem-learning

Package to use an FCN to learn defects from STEM imaging

stemtool

A single package for analyzing atomic resolution STEM, 4D-STEM and STEM-EELS datasets, along with basic STEM simulation functionality

tensorflow2_tutorials_chinese

tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials

tomography

tomography1

software for alignment and 3-D reconstruction of electron tomography tilt series

tomotools

A set of tools for aligning and reconstructing electron tomography data

tutorials

PtyPy tutorials

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"