Recent Progress in Reduced Order Models for Electromagnetic Particle-in-Cell Kinetic Plasma Simulations-Reference-Cited by-同舟云学术

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Recent Progress in Reduced Order Models for Electromagnetic Particle-in-Cell Kinetic Plasma Simulations

Published:2023-07-23 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (USNC-URSI)
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Author:

Nayak I.¹,Nicolini J. L.¹,Na D.-Y.²,Teixeira F. L.¹

Affiliation:

1. The Ohio State University,ElectroScience Laboratory,Department of Electrical and Computer Engineering,Columbus,OH,USA,43212

2. Pohang University of Science and Technology (POSTECH),Department of Electrical Engineering,Pohang,Gyeongbuk Province,South Korea

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10237348/10237371/10238255.pdf?arnumber=10238255

Reference10 articles.

1. Dynamic Mode Decomposition

2. Dynamic mode decomposition of numerical and experi-mental data;schmid;J Fluid Mech,2010

3. Detection and prediction of equilibrium states in kinetic plasma simulations via mode tracking using reduced-order dynamic mode decomposition

4. Relativistic extension of a charge-conservative finite element solver for time-dependent Maxwell-Vlasov equations

5. Exact charge-conserving scatter–gather algorithm for particle-in-cell simulations on unstructured grids: A geometric perspective

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