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

Launch Tool

You must login before you can run this tool.

Version 1.3 - published on 20 Oct 2020

Open source: license | download

View All Supporting Documents

Usage

World usage

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

Cumulative Simulation Users

262

4 7 9 13 129 136 144 148 149 154 160 168 177 188 193 198 202 207 208 213 214 219 226 233 235 241 244 248 253 255 259 262

Users By Organization Type
Type Users
Unidentified 232 (88.55%)
Educational - University 26 (9.92%)
National Lab 4 (1.53%)
Users by Country of Residence
Country Users
us UNITED STATES 19 (65.52%)
in INDIA 5 (17.24%)
de GERMANY 1 (3.45%)
tn TUNISIA 1 (3.45%)
cn CHINA 1 (3.45%)
hr CROATIA 1 (3.45%)
pk PAKISTAN 1 (3.45%)

Simulation Runs

874

16 26 30 40 352 396 428 473 479 497 517 543 583 615 627 648 669 694 706 718 722 742 762 788 794 810 822 832 854 860 868 874
Overview
Average Total
Wall Clock Time 6.09 hours 124.39 days
CPU time 2.31 minutes 18.88 hours
Interaction Time 3.94 hours 80.36 days