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knc6 authored Dec 6, 2019
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Expand Up @@ -18,7 +18,7 @@ JARVIS
==========

Joint Automated Repository for Various Integrated Simulations (JARVIS) is an integrated framework for computational science using density functional theory,
classical force-field/molecular dynamics and machine-learning. The jarvis-tools package can be used for high-throughput computation, data-analysis, and training machine-learning models. Some of the packages used in the jarvis-tools package are shown below. JARVIS-official website: https://jarvis.nist.gov
classical force-field/molecular dynamics and machine-learning developed by Dr. Kamal Choudhary at NIST. The jarvis-tools package can be used for high-throughput computation, data-analysis, and training machine-learning models. Some of the packages used in the jarvis-tools package are shown below. JARVIS-official website: https://jarvis.nist.gov

.. image:: https://github.com/knc6/jarvis/blob/master/jarvis/tools/jarvis-git.JPG
:target: https://jarvis.nist.gov/
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.. image:: https://github.com/usnistgov/jarvis/blob/master/jarvis/db/static/en_converg.png

:Notebook: https://github.com/usnistgov/jarvis/blob/master/jarvis/db/static/Convergence.ipynb
:Notebook: https://github.com/usnistgov/jarvis/blob/master/jarvis/db/static/Convergence.ipynb

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