Published September 28, 2021 | Version v1.0.0
Software Open

Cross-property deep transfer learning framework for enhanced predictive analytics on small materials data

Creators

  • 1. Northwestern University
  • 2. National Institute of Standards and Technology

Description

This repository contains the code for performing cross-property deep transfer learning framework to predict materials properties using elemental fraction (EF), physical attribute (PA), or extracted features as the model input.

Files

GuptaVishu2002/ElemNet2.0-v1.0.0.zip

Files (108.9 MB)

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Additional details

Related works

Is supplement to
https://github.com/GuptaVishu2002/ElemNet2.0/tree/v1.0.0 (URL)