Machine‐Learning Clustering Technique Applied to Powder X‐Ray Diffraction Patterns to Distinguish Compositions of ThMn 12 ‐Type Alloys-Reference-Cited by-同舟云学术

Machine‐Learning Clustering Technique Applied to Powder X‐Ray Diffraction Patterns to Distinguish Compositions of ThMn 12 ‐Type Alloys

Published:2020-06-05 Issue:7 Volume:3 Page:2000039
ISSN:2513-0390
Container-title:Advanced Theory and Simulations
language:en
Short-container-title:Adv. Theory Simul.

Author:

Utimula Keishu¹^ORCID,Hunkao Rutchapon²,Yano Masao³,Kimoto Hiroyuki⁴,Hongo Kenta⁵⁶⁷,Kawaguchi Shogo⁸,Suwanna Sujin²,Maezono Ryo⁹

Affiliation:

1. School of Materials ScienceJAISTAsahidai 1‐1, Nomi Ishikawa 923‐1292 Japan

2. Optical and Quantum Physics LaboratoryDepartment of PhysicsFaculty of ScienceMahidol UniversityBangkok 10400 Thailand

3. Advanced Material Engineering Div.Toyota Motor Corporation1200, Mishuku, Susono Shizuoka 410‐1193 Japan

4. Material Creation & Analysis Dept.Material Engineering Div. No. 2Toyota Motor Corporation1, Toyota‐cho, Toyota Aichi 471‐8572 Japan

5. Research Center for Advanced Computing InfrastructureJAISTAsahidai 1‐1, Nomi Ishikawa 923‐1292 Japan

6. Center for Materials Research by Information Integration, Research and Services Division of Materials Data and Integrated SystemNational Institute for Materials ScienceTsukuba 305‐0047 Japan

7. PRESTOJSTKawaguchi Saitama 332‐0012 Japan

8. Japan Synchrotron Radiation Research Institute (JASRI)Sayo‐gun Hyogo 679‐5148 Japan

9. School of Information ScienceJapan Advanced Institute of Science and Technology (JAIST)Asahidai 1‐1, Nomi Ishikawa 923‐1292 Japan

Publisher

Wiley

Subject

Multidisciplinary,Modelling and Simulation,Numerical Analysis,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/adts.202000039

Reference43 articles.

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