PREDICTOR - Predictive REaction Design via Informatics, Computation and Theories of Reactivity

Abstract

The ultimate objective of this program is to create a cyber-expert software PREDICTOR capable of interacting with a synthetic organic chemist to expedite the discovery of new chemical reactions. Propose to: (1) Design an artificially intelligent software that will store experimental reactivity data and expand its knowledge base using computer simulations. (2) Develop an inference engine, which can merge computational and experimental reactivity data as input and machine-learning techniques to evaluate whether a mechanism drawn on a cyber-canvas is reasonable and what the likely outcome of an envisioned reaction will be.

Document Details

Document Type
DoD Grant Award
Publication Date
Jan 12, 2017
Source ID
W911NF1510041

Entities

People

  • Dean J Tantillo

Organizations

  • Army Contracting Command
  • Defense Advanced Research Projects Agency
  • University of California, Davis

Tags

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Quantum Chemistry
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • Cyber