Materials Science in the AI age: high-throughput library generation, machine learning and a pathway from correlations to the underpinning physics

The use of advanced data analytics and applications of statistical and machine learning approaches (‘AI’) to materials science is experiencing explosive growth recently. In this prospective, we review recent work focusing on generation and application of libraries from both experiment and theoretica...

Volledige beschrijving

Bewaard in:
Bibliografische gegevens
Gepubliceerd in:MRS Commun
Hoofdauteurs: Vasudevan, Rama K., Choudhary, Kamal, Mehta, Apurva, Smith, Ryan, Kusne, Gilad, Tavazza, Francesca, Vlcek, Lukas, Ziatdinov, Maxim, Kalinin, Sergei V., Hattrick-Simpers, Jason
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: 2019
Onderwerpen:
Article
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7067066/
https://ncbi.nlm.nih.gov/pubmed/32166045
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1557/mrc.2019.95
Tags: Voeg label toe
Geen labels, Wees de eerste die dit record labelt!

Gelijkaardige items