Solvent selection for polymers enabled by generalized chemical fingerprinting and machine learning

Abstract

We present machine learning models trained on experimental data to predict room-temperature solubility for any polymer–solvent pair.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jan 01, 2022
Source ID
10.1039/d2cp03735a

Entities

People

  • Blair K Brettmann
  • Joseph Kern
  • Manali Banerjee
  • Rampi Ramprasad
  • Shruti Venkatram

Organizations

  • Georgia Tech
  • Office of Naval Research
  • United States Department of Defense

Tags

Fields of Study

  • Computer science

Readers

  • Computer Vision.
  • Polymer Science and Engineering.
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks