| CompF-001 | Jas4pp - a Data-Analysis Framework for Physics and Detector | |
| CompF-002 | A in Experimental Algorithm Parallelization (CompF1 | |
| CompF-003 | The CAFAna framework for neutrino analysis | |
| CompF-004 | Quantum Computing for HEP Theory and Phenomenology | |
| CompF-005 | Facilitating Collaboration with HPC to Support Data Intensive Science | |
| CompF-006 | Tensor Networks in High Energy Physics | |
| CompF-007 | FPGA for HPC - exploring the possibilities of an alternative | |
| CompF-008 | Opticks GPU photon simulation via NVIDIA R(cid13) OptiXTM | |
| CompF-009 | Pre-Learning a Geometry Using Machine Learning to | |
| CompF-010 | High Performance Computers as a solution for Machine Learning training | |
| CompF-011 | Future Information and Communications Technologies for HL-LHC Era Beyond CMOS and Beyond the Shannon Limit | |
| CompF-012 | Future Information and Communications Technologies for HL-LHC Era Beyond CMOS and Beyond the Shannon Limit | |
| CompF-013 | Network Requirements and Computing Model R&D | |
| CompF-014 | Simulations of Low-Energy Crystal Physics for Dark | |
| CompF-015 | Computing, Software, and Data Analysis at Belle II | |
| CompF-016 | Energy reconstruction technique for very high energy | |
| CompF-017 | cid4) (CompF2) Theoretical Calculations and Simulation [1–7 | |
| CompF-018 | Fast Multipole Method Approaches in Particle Accelerator | |
| CompF-019 | IceCube and IceCube-Gen2 Machine Learning | |
| CompF-020 | Quantum Computing Search and Simulation for Decays to Dark Sector Particles | |
| CompF-021 | HPC Facilities for Large Experiments Opportunities | |
| CompF-022 | IceCube and IceCube-Gen Quantum Computing | |
| CompF-023 | Analysis Description Language for Particle Physics | |
| CompF-024 | Novel Method of Jet Clustering for Future Energy | |
| CompF-025 | Symmetry Group Equivariant Architectures for Particle Physics | |
| CompF-026 | The Evolution of HEP Analysis Facilities | |
| CompF-027 | Numerical Modeling for Superconducting Accelerator Magnets | |
| CompF-029 | CREDO-Maze Multi-stage Global Network of school File missingAnother upload with the same title: CommF-025 | |
| CompF-030 | INFN Computing interests for Particle and Astroparticle Physics | |
| CompF-032 | INFN interests in Quantum Science and Technology for Particle and Astroparticle Physics | |
| CompF-033 | Making the Most of Our (“Old” | |
| CompF-034 | Key4hep | |
| CompF-035 | IceCube and IceCube-Gen2 Long Term Preservation | |
| CompF-036 | IceCube and IceCube-Gen2 Storage and Processing | |
| CompF-037 | Page 1 of 2 | |
| CompF-038 | IceCube and IceCube-Gen2 Event Management Service | |
| CompF-039 | Lattice Calculation of Neutrino-Nucleon Cross Section | |
| CompF-040 | Lattice Calculation of Neutrino-Nucleon Cross Section | |
| CompF-041 | IceCube and IceCube-Gen2 Simulation | |
| CompF-042 | IceCube and IceCube-Gen2 User Analysis Computing File missingAnother upload with the same title: CompF-043 | |
| CompF-043 | IceCube and IceCube-Gen2 User Analysis Computing | |
| CompF-044 | Quantum Computing Simulation Platform | |
| CompF-045 | Algorithmic Advances for Processing Data from Cosmological Surveys | |
| CompF-045 | Chroma Photon Ray Tracer for Large-Scale Detectors | |
| CompF-046 | Emerging Computational Techniques for Jet Physics | |
| CompF-046 | Differentiable Programming in High-Energy Physics | |
| CompF-047 | Front-form calculations on near-term and far-future quantum | |
| CompF-048 | The ESCAPE Dark Matter Test Science Project | |
| CompF-049 | Evolution of HEP Processing Frameworks | |
| CompF-050 | A Parallel Poisson Solver Library for Accelerator | |
| CompF-051 | Software and Statistics for Discovery in Cosmic | |
| CompF-052 | Generic Tasking Framework for Geant4 | |
| CompF-053 | Celeritas—a nascent GPU detector simulation code | |
| CompF-054 | Facilitating cosmic probes and dark matter searches | |
| CompF-055 | Particle tracking in CMS with mkFit from Run3 to HL-LHC | |
| CompF-056 | HEP reconstruction at HPC centers an approach for efficient utilization of resources | |
| CompF-057 | IceCube and IceCube-Gen2 Experimental Algorithm | |
| CompF-058 | Cloud Computing - CompF4 | |
| CompF-059 | Analysis Facilities - CompF5 | |
| CompF-060 | Open Quantum Systems Simulation for HEP | |
| CompF-061 | Machine learning for sampling in lattice quantum field theory | |
| CompF-062 | Evaluation of Performant Portable | |
| CompF-063 | Computing Challenges for Event Generators | |
| CompF-064 | CosmoSIS for the Next Decade | |
| CompF-066 | Topic Areas CompF03, CompF07 | |
| CompF-067 | End-to-End Virtual Accelerators (EVA | |
| CompF-068 | Topic Areas CompF03, CompF07 | |
| CompF-069 | Center(s) for Accelerator and Beam Physics Modeling | |
| CompF-070 | A modular community ecosystem for multiphysics particle | |
| CompF-071 | Surface Methods for Precision Accelerator Design and Virtual | |
| CompF-071 | to the Topical Group on Quantum Computing | |
| CompF-072 | Getting Ready in Algorithm and Software Development for the Arrival of the Quantum Computing Age | |
| CompF-073 | Electron Cooling Simulation Based on First | |
| CompF-075 | Machine learning and surrogate models for simulation-based | |
| CompF-076 | Embracing modern software tools and user-friendly practices | |
| CompF-077 | Beam Dynamics Toolkit | |
| CompF-078 | Machine Learning and Neural Networks for Field Theory | |
| CompF-079 | Develop/integrate data standards & start-to-end | |
| CompF-079 | Quantum Networks for High Energy Physics | |
| CompF-080 | Numerical relativity for next-generation | |
| CompF-081 | Aspiration for Open Science in Accelerator & Beam Physics Modeling | |
| CompF-082 | Consortium for PIC Software in Accelerator Science | |
| CompF-084 | The Future of Machine Learning in Rare Event Searches | |
| CompF-085 | Fast Simulations for Noble Liquid Experiments | |
| CompF-086 | Building Emulators for the Cosmic Frontier | |
| CompF-086 | Data Analysis in High-Energy Physics with Quantum | |
| CompF-087 | Data Preservation at MINERvA | |
| CompF-088 | Portable Parallelization Strategies - a CCE project | |
| CompF-089 | Simulating Optical Photons in HEP experiments on GPUs | |
| CompF-090 | Interdisciplinary simulations Integrating accelerator RF and particle-matter interaction codes | |
| CompF-091 | HEP Computing Challenges | |
| CompF-092 | Storage Research and Development at Large HEP Computing Sites | |
| CompF-093 | Analysis Facilities for Late-Stage Analysis | |
| CompF-094 | Neutral Atom Quantum Simulators for HEP | |
| CompF-095 | Quantum Computing Applications to Reactor | |
| CompF-096 | Machine Learning for Lattice QCD Simulations | |
| CompF-097 | The RAT(-PAC) simulation and analysis code base | |
| CompF-098 | Addressing the Big-Data Bottleneck through Emerging In-Storage | |
| CompF-099 | Modeling of structured plasmas for next generation accelerators | |
| CompF-100 | HPC Complementary Computing Facility | |
| CompF-101 | New Computing Model | |
| CompF-102 | Link the Future And Past User Data Analysis with Jupyter and Xcache | |
| CompF-103 | Cycle and symbiosis AI and Cosmology | |
| CompF-104 | Barriers to Entry in Physics Computing A for the Computational Frontier | |
| CompF-105 | Simulations and Modeling for the Cosmic Frontier | |
| CompF-106 | Towards the Scalable Quantum Machine Learning | |
| CompF-107 | Long Term Reproducibility and Sustainability of Scientific Software | |
| CompF-108 | Application of Machine Learning to Particle Accelerator | |
| CompF-109 | Scientific AI Approaches in Computational Cosmology | |
| CompF-110 | Modeling Needs for Structure Wakefield | |
| CompF-111 | The Need for a Cosmology Data Repository | |
| CompF-112 | Machine Learning Techniques and Software for Neutrino Physics | |
| CompF-113 | Next Generation Workflow Management Software for Globally | |
| CompF-114 | Digging for elusive BSM with simplified models | |
| CompF-115 | Tensor Network methods for lattice field theories File missingAnother upload with the same title: CompF-135 | |
| CompF-116 | High Energy Physics Simulations using HPCs | |
| CompF-117 | Quantum Algorithms for Parton Showers | |
| CompF-118 | Graph Data Structures and Graph Neural | |
| CompF-119 | High Energy Physics Detector and Beamline Simulations in the 21st Century | |
| CompF-120 | Error correction for NISQ quantum algorithms | |
| CompF-121 | Matrix Element Method in the Machine Learning Era | |
| CompF-122 | Interfaces to Leadership Class Computing | |
| CompF-123 | Supporting Research at the Intersection of Physics and Machine Learning | |
| CompF-124 | Quantum Pattern Recognition for Tracking in High Energy Physics | |
| CompF-125 | Performance, Portability, and Preservability for Strong Dynamics at the Exascale | |
| CompF-128 | Topic Areas CompF03, IF04, IF07 | |
| CompF-129 | Differentiable Simulators for HEP | |
| CompF-130 | Particle Physics and Machine Learning in Education | |
| CompF-131 | Neutrino Event Generators | |
| CompF-131 | Machine Learning and Neural Networks for Field Theory | |
| CompF-131 | Machine Learning and Lattice QCD | |
| CompF-132 | The GENIE neutrino event generator | |
| CompF-132 | The effect of HEP software culture and practices | |
| CompF-133 | Multi-scale QCD algorithms Beyond the Exascale | |
| CompF-134 | Simulations for HEP with SQMS Quantum Hardware | |