Our research and development activities are largely based on collaborations with groups at Pacific Northwest National Laboratory (PNNL) and Oak Ridge National Laboratory (ORNL) and other teams worldwide. To facilitate reuse of our results, we provide open access to our software and other resources. These resources include workflows developed by us and our collaborators, which are available in the below GitHub repositories.
Kalinin Group at UT Knoxville
Workflows developed for the automation of microscopes and experimental data analysis.
GPax by Maxim Ziatdinov
GPax is a small Python package for physics-based Gaussian processes (GPs) to take advantage of prior physical knowledge and different data modalities when using GPs for data reconstruction and active learning.
AtomAI by Maxim Ziatdinov
AtomAI is a Python package for deep and machine learning analysis of microscopy data that doesn’t require any advanced knowledge of Python or machine learning
AESPM by Richard (Yu) Liu
Python interface that enables local and remote control of Scanning Probe Microscope (SPM) with codes.
Pycroscopy by Rama Vasudevan & co
Pycroscopy is a python package for generic (domain-agnostic) microscopy data analysis.