Electronic, redox, and optical property prediction of organic π-conjugated molecules through a hierarchy of machine learning approaches

Abstract

A hierarchical series of machine learning models are developed to provide robust predictions of the electronic, redox, and optical properties of π-conjugated molecules.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jan 01, 2023
Source ID
10.1039/d2sc04676h

Entities

People

  • Balaji Sesha Sarath Pokuri
  • Baskar Ganapathysubramanian
  • Chad Risko
  • Parker Sornberger
  • Rebekah Duke
  • Vinayak Bhat

Organizations

  • Iowa State University
  • National Science Foundation
  • Office of Naval Research
  • University of Kentucky

Tags

Readers

  • Neural Network Machine Learning.
  • Quantum Chemistry

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks
  • Microelectronics