6 papers
Deep Wave Network for Modeling Multi-Scale Physical Dynamics
Alexander I. Khrabry, Edward A. Startsev, Andrew T. Powis +1
Performance of deep learning models is strongly governed by architectural capacity, with width and depth as primary controls. However, in physical-science applications, models are…
Benchmark for two-dimensional large scale coherent structures in partially magnetized ExB plasmas -- Community collaboration & lessons learned
Andrew T. Powis, Eduardo Ahedo, Alejandro Ãlvarez Laguna +38
Low-temperature plasmas are essential to both fundamental scientific research and critical industrial applications. As in many areas of science, numerical simulations have become a…
Accelerating kinetic plasma simulations with machine learning generated initial conditions
Andrew T. Powis, Domenica Corona Rivera, Alexander Khrabry +1
Computer aided engineering of multi-time-scale plasma systems which exhibit a quasi-steady state solution are challenging due to the large number of time steps required to reach co…
Three-dimensional Helical-rotating Plasma Structures in Beam-generated Partially Magnetized Plasmas
Jian Chen, Andrew T. Powis, Igor D. Kaganovich +1
Azimuthal structures emerging in beam-generated partially magnetized plasmas are investigated using three-dimensional particle-in-cell/Monte Carlo collision simulations. Two distin…
Sheath electron heating in surface wave discharges driven at microwave frequencies
Denis Eremin, Andrew T. Powis, Igor D. Kaganovich
Using fully electromagnetic particle-in-cell/Monte Carlo simulations, the electron heating due to interaction with a moving sheath is demonstrated to dominate in surface wave-drive…
Hierarchical-embedding autoencoder with a predictor (HEAP) as efficient architecture for learning long-term evolution of complex multi-scale physical systems
Alexander Khrabry, Edward Startsev, Andrew Powis +1
We propose a novel efficient architecture for learning long-term evolution in complex multi-scale physical systems which is based on the idea of separation of scales. Structures of…