2 citations · 2 across the 4 of their papers we have counts for
4 papers
Performance-portable GPU acceleration of the hybrid particle-in-cell code dHybridR
Bricker Ostler, Miha Cernetic, Damiano Caprioli
Hybrid particle-in-cell simulations are widely used to study kinetic processes in collisionless astrophysical and space plasmas, yet the high computational cost of large-scale thre…
Deep Learning Analysis of Ions Accelerated at Shocks
Paxson Swierc, Damiano Caprioli, Luca Orusa +1
We study the application of deep learning techniques to the analysis and classification of ions accelerated at collisionless shocks in hybrid (kinetic ions--fluid electrons) simula…
Acceleration of Heavy Ions at Non-Relativistic Collisionless Shocks
Damiano Caprioli, Luca Orusa, Miha Cernetic +2
We investigate the process of Diffusive Shock Acceleration (DSA) of particles with mass number to charge number ratios , e.g., partially-ionized heavy ions. To this end, w…
GPU-Accelerated Gravitational Lensing & Dynamical (GLaD) Modeling for Cosmology and Galaxies
Han Wang, Sherry H. Suyu, Aymeric Galan +4
Time-delay distance measurements from strongly lensed quasars provide a robust, independent method for determining the Hubble constant (). This approach cross-checks est…