Predicting Electronic Stopping Power in Materials for Incident Ions Using Machine Learning

Meeting Abstract (Web of Science)

• cited authors: Taghizadehghahremanloo, S.; Akbari, F.; Shvydka, D.; Sperling, N.; Parsai, E.
• publication date: June 1, 2022
• webpage: Web of Science
• published in: MEDICAL PHYSICS Journal
• category: RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Category
• start page: E374
• end page: E374
• volume: 49
• issue: 6