Mar 11 – 15, 2024
Charles B. Wang Center, Stony Brook University
US/Eastern timezone

Bulletin 1


Stony Brook, Long Island NY, USA, 11-15 March 2024


Dear colleagues,

This is an announcement that the 22nd International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT 2024) will take place between Monday 11th and Friday, 15th March, 2024 at the Stony Brook University, Stony Brook, Long Island NY, USA. We hope to see you there!


The 22nd edition of ACAT will once again bring together computational experts from a wide range of disciplines, including particle-, nuclear-, astro-, and accelerator-physics as well as high performance computing machine learning and quantum computing. Through this unique forum, we will explore the areas where these disciplines overlap with computer science, fostering the exchange of ideas related to cutting-edge computing, data-analysis, and theoretical-calculation technologies.


Foundation Models for Physics: Nexus of Computation and Physics through Embracing the Era of Foundation Models: The 2024 ACAT workshop invites the vanguard of computational and physics experts to delve into the transformative potential of foundation models. As the intersection between physics and computational realms deepens, these advanced models, underpinned by colossal datasets and capable of generating nuanced outputs, are redefining the research spectrum and increasingly reshaping the way researchers approach complex problems, simulations, and data analyses. As we chart this new territory, we'll address challenges and opportunities encompassing integration into computational ecosystems, innovative data practices, training nuances, infrastructure evolution, uncertainty metrics, ethical dimensions, and collaborative vistas across disciplines.




ACAT Workshops have plenary and parallel sessions during the five-day conference. The parallel sessions cover the following areas:

  • Track 1: Computing Technology for Physics Research, including languages, paradigms, architectures, virtualization, networking and online computing. Theme focus: Dive into how languages, architectures, and virtualisation integrate with foundation models.
  • Track 2: Data Analysis - Algorithms and Tools, including machine learning, analysis techniques, simulation, reconstruction and visualization methods, and future ideas such as quantum computing. Them focus: unravel the intricate dance between machine learning, quantum computing possibilities, and foundation models and re-imagine data analysis, simulation, and visualization for a future molded by these tools.
  • Track 3: Computations in Theoretical Physics: Techniques and Methods, including automatic systems, higher order calculations, computer algebra techniques, and theoretical and simulation aspects of computational physics. Them focus: discover the confluence of automatic systems, higher order calculations, and computer algebra techniques with foundation models. Scrutinize the theoretical facets and simulation implications they usher in.




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