ARCHER-a Monte Carlo code for multi-particle radiotherapy through GPU-accelerated simulation and DL-based denoising

The ARCHER project was initiated about 14 years ago to explore the use of emerging GPU technologies for fast Monte Carlo (MC) calculations. This paper presents the latest work to integrate the newly developed deep conventional neural network (dCNN) based MC denoising method with GPU-based MC multi-p...

Full description

Saved in:
Bibliographic Details
Main Authors: Chang Yankui, Wang Xuanhe, Cheng Bo, Wang Yuxin, Li Shijun, Ye Zirui, Pei Xi, Zhao Jingfang, George Xu Xie
Format: Article
Language:English
Published: EDP Sciences 2025-01-01
Series:EPJ Nuclear Sciences & Technologies
Online Access:https://www.epj-n.org/articles/epjn/full_html/2025/01/epjn20240026/epjn20240026.html
Tags: Add Tag
No Tags, Be the first to tag this record!