Materials informatics and AI related technology

 By utilizing AI (machine learning) and quantum mechanics, we realize efficient and prompt new materials development and structure design to improve resistance / battery life / safety, etc.

Features of this technology

Proposal from KRI / Future development / Expected results, etc.

●We concurrently implement material design by computation and verification through tests.

  • ・Estimation of unknown compounds by machine learning of databases / selection of candidate materials
  • ・Combination of computational chemistry such as first principles calculation and statistical method used for big data analysis
    ⇒ Evaluation and demonstration by synthesis based on prediction formula to create new function and battery material evaluation technology