Mining of effective local order parameters for classifying crystal structures: A machine learning study

2020 ◽  
Vol 152 (21) ◽  
pp. 214501
Author(s):  
Hideo Doi ◽  
Kazuaki Z. Takahashi ◽  
Takeshi Aoyagi
Keyword(s):  
Machine Learning ◽  
Crystal Structures ◽  
Order Parameters ◽  
Local Order ◽  
Learning Study

Local bond order parameters for accurate determination of crystal structures in two and three dimensions

2018 ◽  
Vol 20 (42) ◽  
pp. 27059-27068 ◽  
Author(s):  
Hossein Eslami ◽  
Parvin Sedaghat ◽  
Florian Müller-Plathe
Keyword(s):  
Crystal Structures ◽  
Bond Order ◽  
Accurate Determination ◽  
Three Dimensional ◽  
Order Parameters ◽  
Three Dimensions ◽  
Local Order ◽  
Crystalline Structures

Local order parameters for the characterization of liquid and different two- and three-dimensional crystalline structures are presented.

Aging effect on head motion: A Machine Learning study on resting state fMRI data

2021 ◽  
Vol 352 ◽  
pp. 109084
Author(s):  
Valeria Saccà ◽  
Alessia Sarica ◽  
Andrea Quattrone ◽  
Federico Rocca ◽  
Aldo Quattrone ◽  
...  
Keyword(s):  
Machine Learning ◽  
Resting State ◽  
Aging Effect ◽  
Resting State Fmri ◽  
Fmri Data ◽  
Head Motion ◽  
Learning Study

scholarly journals Machine learning study of magnetism in uranium-based compounds

2020 ◽  
Vol 4 (6) ◽  
Author(s):  
Ayana Ghosh ◽  
Filip Ronning ◽  
Serge M. Nakhmanson ◽  
Jian-Xin Zhu
Keyword(s):  
Machine Learning ◽  
Learning Study

Can structural MRI aid in clinical classification? A machine learning study in two independent samples of patients with schizophrenia, bipolar disorder and healthy subjects

NeuroImage ◽  
2014 ◽  
Vol 84 ◽  
pp. 299-306 ◽  
Author(s):  
Hugo G. Schnack ◽  
Mireille Nieuwenhuis ◽  
Neeltje E.M. van Haren ◽  
Lucija Abramovic ◽  
Thomas W. Scheewe ◽  
...  
Keyword(s):  
Machine Learning ◽  
Bipolar Disorder ◽  
Healthy Subjects ◽  
Structural Mri ◽  
Learning Study ◽  
Clinical Classification

scholarly journals Evolution of MG AZ31 twin activation with strain: A machine learning study

2018 ◽  
Vol 12 ◽  
pp. 20-29
Author(s):  
Andrew D. Orme ◽  
David T. Fullwood ◽  
Michael P. Miles ◽  
Christophe Giraud-Carrier
Keyword(s):  
Machine Learning ◽  
Learning Study
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