Proceedings of the 14th International Computational Accelerator Physics Conference (ICAP24)

TL;DR

The ICAP'24 conference proceedings highlight recent advances in computational methods, modeling, and simulation techniques for accelerator physics, emphasizing applications to current and future accelerator facilities.

Contribution

This publication compiles the latest research and developments in computational accelerator physics, including new algorithms, code validation, and emerging technologies like machine learning.

Findings

Advances in high performance computing for accelerators

Development of new simulation codes and validation methods

Integration of machine learning in accelerator modeling

Abstract

This is the proceedings of the 14th International Computational Accelerator Physics Conference, ICAP'24, which was held at the Lufthansa Seeheim Conference Hotel in Germany from October 2-5, 2024, hosted by TU Darmstadt and GSI Helmholtzzentrum f\"ur Schwerionenforschung. ICAP'24 has focused on advances in Computational Accelerator Physics and their application to existing machines and future facilities. It has provided a forum for researchers in modeling and simulation to exchange information and discuss new ideas that benefit a wide area of accelerator science and technology. Topics of the conference have included computational needs and challenges, beam dynamics and electromagnetic field calculations, code development and validation, data processing and visualization, high performance computing, machine learning and advanced optimization as well as emerging technologies that will impact computing for accelerator design.