scholarly journals Data-driven generalized atomic environment prediction for binary and multinary inorganic compounds using the periodic number

2008 ◽  
Vol 1 (2) ◽  
pp. 210-226 ◽  
Author(s):  
Pierre VILLARS ◽  
◽  
Jo DAAMS ◽  
Yoshihiro SHIKATA ◽  
Ying CHEN ◽  
...  
Keyword(s):  
Inorganic Compounds ◽  
Data Driven ◽  
Periodic Number

A data-driven XRD analysis protocol for phase identification and phase-fraction prediction of multiphase inorganic compounds

2021 ◽  
Author(s):  
Jin-Woong Lee ◽  
Woon Bae Park ◽  
Minseuk Kim ◽  
Satendra Pal Singh ◽  
Myoungho Pyo ◽  
...  
Keyword(s):  
Deep Learning ◽  
Inorganic Compounds ◽  
Xrd Analysis ◽  
Data Driven ◽  
Phase Fraction ◽  
Phase Identification ◽  
Constituent Phase ◽  
Analysis Protocol

Deep learning (DL) models trained with synthetic XRD data have never accomplished a satisfactory quantitative XRD analysis for the exact prediction of a constituent-phase fraction in unknown multiphase inorganic compounds,...

Sign in / Sign up

Export Citation Format

Share Document