Modeling of Advanced Accelerator Concepts

TL;DR

This paper reviews the current state and future directions of modeling advanced accelerator concepts, emphasizing high-performance computing, ecosystem integration, and sustainability for improved research and development.

Contribution

It provides a comprehensive overview of modeling techniques, highlights the importance of scalable computing and community-driven frameworks, and discusses sustainability in AAC research.

Findings

Advances in high-performance computing enhance AAC modeling.

Integrated workflows improve research efficiency.

Focus on sustainability increases code robustness.

Abstract

Computer modeling is essential to research on Advanced Accelerator Concepts (AAC), as well as to their design and operation. This paper summarizes the current status and future needs of AAC systems and reports on several key aspects of (i) high-performance computing (including performance, portability, scalability, advanced algorithms, scalable I/Os and In-Situ analysis), (ii) the benefits of ecosystems with integrated workflows based on standardized input and output and with integrated frameworks developed as a community, and (iii) sustainability and reliability (including code robustness and usability).