Dustin Anderson
Publications by Year
Research Areas
Particle physics theoretical and experimental studies, High-Energy Particle Collisions Research, Quantum Chromodynamics and Particle Interactions, Particle Detector Development and Performance, Computational Physics and Python Applications
Most-Cited Works
- → Machine Learning in High Energy Physics Community White Paper(2018)224 cited
- → Novel deep learning methods for track reconstruction(2018)44 cited
- → The HEP.TrkX Project: deep neural networks for HL-LHC online and offline tracking(2017)43 cited
- → Multiscale dynamics in communities of phase oscillators(2012)31 cited
- → Chaos and dynamical complexity in the quantum to classical transition(2018)27 cited
- → The HEP.TrkX Project: Deep Learning for Particle Tracking(2018)23 cited
- → An MPI-Based Python Framework for Distributed Training with Keras(2017)16 cited
- → Large-Scale Distributed Training Applied to Generative Adversarial Networks for Calorimeter Simulation(2019)14 cited
- → Experimental signatures of the quantum–classical transition in a nanomechanical oscillator modeled as a damped-driven double-well problem(2012)8 cited