A real-space high-order finite-difference exponential integrator for cylindrical PIC simulations achieves high accuracy in laser propagation and electron injection benchmarks, comparable to spectral codes like FBPIC.
Title resolution pending
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
citation-role summary
background 1
method 1
citation-polarity summary
verdicts
UNVERDICTED 3representative citing papers
A new simulation platform generates datasets of shear wave propagation in homogeneous and inhomogeneous visco-elastic domains to evaluate direct inversion techniques for MRE, revealing non-monotonic accuracy dependence on spatial and temporal resolution.
An integral model for 3D liquid films is extended with electromagnetic effects and PPO reinforcement learning is used to derive actuator policies that suppress interface instabilities.
citing papers explorer
-
High-order exponential solver method for particle-in-cell simulations in cylindrical geometry
A real-space high-order finite-difference exponential integrator for cylindrical PIC simulations achieves high accuracy in laser propagation and electron injection benchmarks, comparable to spectral codes like FBPIC.
-
Simulation Platform To Evaluate Inversion Techniques For Magnetic Resonance Elastography Data
A new simulation platform generates datasets of shear wave propagation in homogeneous and inhomogeneous visco-elastic domains to evaluate direct inversion techniques for MRE, revealing non-monotonic accuracy dependence on spatial and temporal resolution.
-
Integral modelling and Reinforcement Learning control of 3D liquid metal coating on a moving substrate
An integral model for 3D liquid films is extended with electromagnetic effects and PPO reinforcement learning is used to derive actuator policies that suppress interface instabilities.