Submitted

1. Machine Learning

  • Machine Learning Meets the Challenges of HEP Research and Development - download pdf - Brendan O’Shea, et al.

  • Machine learning and surrogate models for simulation-based optimization of accelerator design - download pdf - Remi Lehe, et al.

  • Application of Machine Learning to Particle Accelerator Simulations - download pdf - Daniel Winklehner, et al.

  • Adaptive Machine Learning for Time Varying Systems: Noninvasive Diagnostics and Automatic Control for Short Intense Bunches - download pdf - Alexander Scheinker, et al.

2. Physics for Conventional Accelerators

  • Loss prediction through modeling of high dynamic range beam distributions - download pdf - Kiersten Ruisard, et al.

  • Electron Cooling Simulation Based on First Principles - download pdf - He Zhang, et al.

  • Interdisciplinary simulations: Integrating accelerator RF and particle-matter interaction codes - download pdf - Ao Liu, et al.

  • Physics-based high-fidelity modeling of high brightness beam injectors - download pdf - Chengkun Huang, et al.

  • Numerical Modeling for Superconducting Accelerator Magnets - download pdf - Lucas Brouwer, et al.

3. Physics for Advanced Accelerator Concepts

  • Computational modeling needs of plasma-based accelerators towards future colliders - download pdf - Warren Mori, et al.

  • Modeling of structured plasmas for next generation accelerators - download pdf - Nathan Cook, et al.

  • Modeling Needs for Structured Wakefield Accelerators - download pdf - Nathan Cook, et al.

4. Shared Accelerator & Beam Simulation Tools

  • A Parallel Poisson Solver Library for Accelerator Modeling Applications - download pdf - Ji Qiang, et al.

  • Fast Multipole Method Approaches in Particle Accelerator Simulations - download pdf - Harper Langston, et al.

  • Surface Methods for Precision Accelerator Design and Virtual Prototyping of Accelerator Systems - download pdf - Robert Ryne, et al.

  • Beam Dynamics Toolkit - download pdf - David Sagan, et al.

  • A modular community ecosystem for multiphysics particle accelerator modeling and design - download pdf - Jean-Luc Vay, et al.

  • EVA (End-to-end Virtual Accelerators) - download pdf - Jean-Luc Vay, et al.

  • Accelerator and Beam Physics: Grand Challenges and Research Opportunities download pdf - Sergei Nagaitsev, et al.

5. Cross-Cutting Standardization and Practice

  • Develop/integrate data standards & start-to-end workflows for Accelerator Physics - download pdf - Axel Huebl, et al.

  • Aspiration for Open Science in Accelerator & Beam Physics Modeling - download pdf - Axel Huebl, et al.

  • Embracing modern software tools and user-friendly practices, when distributing scientific codes - download pdf - Remi Lehe, et al.

6. Community Organization

  • Center(s) for accelerator and beam modeling - download pdf - Jean-Luc Vay, et al.

  • Consortium for PIC Software in Accelerator Science - download pdf - Warren Mori, et al.

  • Collaboration between industry and the HEP community - download pdf - David Bruhwiler, et al.

7. Quantum Computing

  • Getting Ready in Algorithm and Software Development for the Arrival of the Quantum Computing Age - download pdf - He Zhang, et al.

We rely on the community (you) to inform us about proposed and submitted LOIs by sending emails to AccBeamModelSnowmass21@lbl.gov.