TY - GEN
T1 - Full-Wave Simulation of a 10,000-Element Reconfigurable Intelligent Surface with a Single Workstation Computer
AU - Lim, Qijian
AU - Gao, Hong Wei
AU - Peng, Zhen
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Nowadays, extensive research conducted on electromagnetic materials has led to many innovative devices and systems. While the potentials of advanced materials and their applications are appealing, it is often difficult to model them accurately by computational methods due to the inherently multiscale, complex structures involved. We propose a metamaterial Green's function with the geometry-aware domain decomposition method for modeling complex, heterogeneous materials. The outcome results in quasi-sublinear algorithms, in which the computational complexity does not depend on the microscopic size of metamaterial structures. The results have the potential to make the high-fidelity analysis of metamaterials and metasurfaces orders of magnitude faster.
AB - Nowadays, extensive research conducted on electromagnetic materials has led to many innovative devices and systems. While the potentials of advanced materials and their applications are appealing, it is often difficult to model them accurately by computational methods due to the inherently multiscale, complex structures involved. We propose a metamaterial Green's function with the geometry-aware domain decomposition method for modeling complex, heterogeneous materials. The outcome results in quasi-sublinear algorithms, in which the computational complexity does not depend on the microscopic size of metamaterial structures. The results have the potential to make the high-fidelity analysis of metamaterials and metasurfaces orders of magnitude faster.
UR - http://www.scopus.com/inward/record.url?scp=85172420929&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85172420929&partnerID=8YFLogxK
U2 - 10.1109/USNC-URSI52151.2023.10237639
DO - 10.1109/USNC-URSI52151.2023.10237639
M3 - Conference contribution
AN - SCOPUS:85172420929
T3 - IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)
SP - 587
EP - 588
BT - 2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2023 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2023
Y2 - 23 July 2023 through 28 July 2023
ER -