Deep-learning enabled generalized inverse design of multi-port radio-frequency and sub-terahertz passives and integrated circuits.

Karahan EA, Liu Z, Gupta A, Shao Z, Zhou J, Khankhoje U, Sengupta K

DOI: 10.1038/s41467-024-54178-1
Published: 2024 Dec 30
Container: Nature communications
Publisher: Not recorded
Open access: yes

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BibTeX

@article{allodium:10.1038/s41467-024-54178-1,
  title = {Deep-learning enabled generalized inverse design of multi-port radio-frequency and sub-terahertz passives and integrated circuits.},
  author = {Karahan EA and Liu Z and Gupta A and Shao Z and Zhou J and Khankhoje U and Sengupta K},
  year = {2024},
  journal = {Nature communications},
  doi = {10.1038/s41467-024-54178-1},
  url = {https://doi.org/10.1038/s41467-024-54178-1}
}

RIS

TY  - JOUR
TI  - Deep-learning enabled generalized inverse design of multi-port radio-frequency and sub-terahertz passives and integrated circuits.
AU  - Karahan EA
AU  - Liu Z
AU  - Gupta A
AU  - Shao Z
AU  - Zhou J
AU  - Khankhoje U
AU  - Sengupta K
PY  - 2024
JO  - Nature communications
DO  - 10.1038/s41467-024-54178-1
UR  - https://doi.org/10.1038/s41467-024-54178-1
ER  -

APA

EA, K., Z, L., A, G., Z, S., J, Z., U, K., & K, S. (2024). Deep-learning enabled generalized inverse design of multi-port radio-frequency and sub-terahertz passives and integrated circuits.. Nature communications. https://doi.org/10.1038/s41467-024-54178-1

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pubmed · retrieved 2026-09-26T22:44:37.721Z