Hands-on Deep Learning for Materials

This tool introduces users to deep learning techniques such as convolutional neural networks and variational auto encoders from a materials standpoint

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Version 1.1 - published on 15 Jun 2020

doi:10.21981/MRN1-6764 cite this

Open source: license | download

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World usage

Location of all "Hands-on Deep Learning for Materials" Users Since Its Posting

Cumulative Simulation Users


4 7 8

Users By Organization Type
Type Users
Unidentified 7 (87.5%)
Educational - University 1 (12.5%)
Users by Country of Residence
Country Users
us UNITED STATES 1 (100%)

Simulation Runs


16 26 28
Average Total
Wall Clock Time 2.89 hours 1.81 days
CPU time 1.19 minutes 17.89 minutes
Interaction Time 1.17 hours 17.56 hours