Machine learning and data mining in materials science : editorial

Journal
Frontiers in materials  
Article Number
51
Citation
Frontiers in Materials 7 : 51 (2020-02-28)
Publisher DOI
10.3389/fmats.2020.00051
Scopus ID
2-s2.0-85082652572
Publisher
Frontiers Media
Subjects
data mining
machine learning
machining of data
materials design
materials processing
scale bridging
MLE@TUHH
DDC Class
620: Ingenieurwissenschaften
Funding(s)
SFB 986: Teilprojekt B04 - Mikromechanisches Materialverhalten hierarchischer Werkstoffe  
SFB 986: Teilprojekt B09 - Mikrostrukturbasierte Klassifizierung und elektronenmikroskopische Analyse nanoporöser Metalle durch maschinelles Lernen  
Funding Organisations
Deutsche Forschungsgemeinschaft (DFG)  
More Funding Information
This work was supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)—Project Number 192346071 - SFB 986 “Tailor-Made Multi-Scale Materials Systems: M3”, projects B4 and B9, and by the Office of Naval Research N00014-18-1-2879.