TY - GEN
T1 - Order Reduction Using Laguerre-FDTD with Embedded Neural Network
AU - Wang, Yifan
AU - Guo, Yiliang
AU - Kumar, Rahul
AU - Swaminathan, Madhavan
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - In this work, a neural network embedded Laguerre-FDTD method is proposed to greatly reduce the simulation order needed to recover the field waveform. By taking the lower order basis function coefficients as the training data, numerical results show up to half of the simulation order coefficients can be predicted by the neural network. Both time and frequency-domain (S-parameter) results converted from predicted basis function value show excellent accuracy compared with ground truth.
AB - In this work, a neural network embedded Laguerre-FDTD method is proposed to greatly reduce the simulation order needed to recover the field waveform. By taking the lower order basis function coefficients as the training data, numerical results show up to half of the simulation order coefficients can be predicted by the neural network. Both time and frequency-domain (S-parameter) results converted from predicted basis function value show excellent accuracy compared with ground truth.
UR - http://www.scopus.com/inward/record.url?scp=85200927137&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85200927137&partnerID=8YFLogxK
U2 - 10.1109/IMS40175.2024.10600239
DO - 10.1109/IMS40175.2024.10600239
M3 - Conference contribution
AN - SCOPUS:85200927137
T3 - IEEE MTT-S International Microwave Symposium Digest
SP - 473
EP - 476
BT - 2024 IEEE/MTT-S International Microwave Symposium, IMS 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 IEEE/MTT-S International Microwave Symposium, IMS 2024
Y2 - 16 June 2024 through 21 June 2024
ER -