Helium retention feature in the boron deposited layer on tungsten substrate by laser-induced breakdown spectroscopy and machine learning approach

First Author:shabbir, muhammad amir

Correspondence Author:hongbin ding,Ran Hai,Bai, Xue,吴鼎,Li, Cong,何中林,刘泽铧,rehman fahad,穆建平

Co-author:何中林,刘泽铧,rehman fahad,穆建平

Date of Publication:2024-10-24

Journal:Nuclear Materials and Energy

Document Type:J

Volume:41

ISSN:2352-1791

Key Words:Boron deposition; Burning plasmas; Deposition layers; Descaling; Electric diverters; Enameling; Fusion reactor divertors; Helium retention; ITER; Laserinduced breakdown spectroscopy (LIBS); Laser produced plasmas; Machine-learning; Machine learning algorithms; Plasma-facing components; Tokamak devices; Tungsten substrate

First Author:shabbir, muhammad amir

Correspondence Author:hongbin ding

Correspondence Author:Ran Hai

All the Authors:何中林

All the Authors:刘泽铧

All the Authors:rehman fahad

Correspondence Author:Bai, Xue

All the Authors:穆建平

Correspondence Author:吴鼎

Correspondence Author:Li, Cong

Correspondence Author:何中林

Correspondence Author:刘泽铧

Correspondence Author:rehman fahad

Correspondence Author:穆建平