5th Anniversary Article: Data‐Driven Materials Science: Status, Challenges, and Perspectives (Adv. Sci. 21/2019)

Data‐driven science is heralded as the new paradigm in materials science. Data infrastructures store vast amounts of materials data. Machine learning algorithms systematically extract knowledge from materials data streams to discover new materials for future technologies and the well‐being of societ...

Full description

Saved in:
Bibliographic Details
Published in:Adv Sci (Weinh)
Main Authors: Himanen, Lauri, Geurts, Amber, Foster, Adam Stuart, Rinke, Patrick
Format: Artigo
Language:Inglês
Published: John Wiley and Sons Inc. 2019
Subjects:
Cover Picture
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC6839620/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/advs.201970125
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items