J. T. Childers
Argonne National Laboratory(US)
Publications by Year
Research Areas
Particle physics theoretical and experimental studies, High-Energy Particle Collisions Research, Particle Detector Development and Performance, Distributed and Parallel Computing Systems, Quantum Chromodynamics and Particle Interactions
Most-Cited Works
- → Machine Learning in High Energy Physics Community White Paper(2018)224 cited
- (2019)
- → Event generators for high-energy physics experiments(2024)58 cited
- → Deep Reinforcement Agent for Scheduling in HPC(2021)52 cited
- A roadmap for HEP software and computing R&D for the 2020s(2019)
- → Beyond the Standard Model Physics at the HL-LHC and HE-LHC(2018)47 cited
- → DRAS: Deep Reinforcement Learning for Cluster Scheduling in High Performance Computing(2022)35 cited
- → Balsam: Automated Scheduling and Execution of Dynamic, Data-Intensive HPC Workflows(2019)22 cited
- → Efficient phase-space generation for hadron collider event simulation(2023)21 cited