Atomistic Machine Learning Tools

A package for generating machine learned atomistic potentials. Nicholas Wagner and Mike Waters

Name		Name	Last commit message	Last commit date
Latest commit History 116 Commits
benchmarks		benchmarks
examples		examples
statistics		statistics
test		test
test_results		test_results
test_structures		test_structures
LICENSE		LICENSE
README.MD		README.MD
Structure_perturbation.ipynb		Structure_perturbation.ipynb
VERSION		VERSION
__init__.py		__init__.py
job_control.py		job_control.py
kgrid.py		kgrid.py
polymorphD3.py		polymorphD3.py
polymorpher2.py		polymorpher2.py
random_sheer.py		random_sheer.py
random_sheer2.py		random_sheer2.py
requirements.txt		requirements.txt
rrsm.py		rrsm.py
setup.py		setup.py
super_cell.py		super_cell.py
utils.py		utils.py

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