Search for Efficient Methods of Prediction of Multicomponent Inorganic Compounds

Abstract

This report results from a contract tasking Russian Academy of Sciences as follows: The contractor will investigate methods for predicting the properties of new binary, ternary and quaternary inorganic chemical systems using computer based semantic and neural networks. Details are provided in the proposal statement of work.

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Document Details

Document Type
Technical Report
Publication Date
Mar 13, 2001
Accession Number
ADA397747

Entities

People

  • Nadezhda N. Kiselyova
  • Victor P. Gladun

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Artificial Intelligence
  • Boiling Point
  • Chemical Compounds
  • Chemical Elements
  • Computer Programs
  • Computers
  • Contracts
  • Databases
  • Electrons
  • Inorganic Chemicals
  • Inorganic Materials
  • Materials
  • Materials Science
  • Neural Networks
  • Operating Systems
  • Test Sets

Readers

  • Combustion science or combustion engineering.
  • Computer Programming and Software Development.
  • Technical Research and Report Writing.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks