Salvato in:
| Autori principali: | , , , , , , , , |
|---|---|
| Natura: | Preprint |
| Pubblicazione: |
2025
|
| Soggetti: | |
| Accesso online: | https://arxiv.org/abs/2511.21274 |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1866917140529938432 |
|---|---|
| author | Rao, Junhui Liu, Yi Zhang, Jichen Ming, Zhaoyang Qiao, Tianrui Zhang, Yujie Chiu, Chi Yuk Wang, Hua Murch, Ross |
| author_facet | Rao, Junhui Liu, Yi Zhang, Jichen Ming, Zhaoyang Qiao, Tianrui Zhang, Yujie Chiu, Chi Yuk Wang, Hua Murch, Ross |
| contents | This paper proposes a novel analytical framework, termed the Multiport Analytical Pixel Electromagnetic Simulator (MAPES). MAPES enables efficient and accurate prediction of the electromagnetic (EM) performance of arbitrary pixel-based microwave (MW) and RFIC structures. Inspired by the Integrated Internal Multiport Method (IMPM), MAPES extends the concept to the pixel presence/absence domain used in AI-assisted EM design. By introducing virtual pixels and diagonal virtual pixels and inserting virtual ports at critical positions, MAPES captures all horizontal, vertical, and diagonal electromagnetic couplings within a single multiport impedance matrix. Only a small set of full-wave simulations (typically about 1% of the datasets required by AI-assisted EM simulators) is needed to construct this matrix. Subsequently, any arbitrary pixel configuration can be evaluated analytically using a closed-form multiport relation without additional full-wave calculations. The proposed approach eliminates data-driven overfitting and ensures accurate results across all design variations. Comprehensive examples for single- and double-layer CMOS processes (180 nm and 65 nm) and PCBs confirm that MAPES achieves high prediction accuracy with 600- 2000x speed improvement compared to CST simulations. Owing to its efficiency, scalability and reliability, MAPES provides a practical and versatile tool for AI-assisted MW circuit and RFIC design across diverse fabrication technologies. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_21274 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Multiport Analytical Pixel Electromagnetic Simulator (MAPES) for AI-assisted RFIC and Microwave Circuit Design Rao, Junhui Liu, Yi Zhang, Jichen Ming, Zhaoyang Qiao, Tianrui Zhang, Yujie Chiu, Chi Yuk Wang, Hua Murch, Ross Signal Processing Systems and Control This paper proposes a novel analytical framework, termed the Multiport Analytical Pixel Electromagnetic Simulator (MAPES). MAPES enables efficient and accurate prediction of the electromagnetic (EM) performance of arbitrary pixel-based microwave (MW) and RFIC structures. Inspired by the Integrated Internal Multiport Method (IMPM), MAPES extends the concept to the pixel presence/absence domain used in AI-assisted EM design. By introducing virtual pixels and diagonal virtual pixels and inserting virtual ports at critical positions, MAPES captures all horizontal, vertical, and diagonal electromagnetic couplings within a single multiport impedance matrix. Only a small set of full-wave simulations (typically about 1% of the datasets required by AI-assisted EM simulators) is needed to construct this matrix. Subsequently, any arbitrary pixel configuration can be evaluated analytically using a closed-form multiport relation without additional full-wave calculations. The proposed approach eliminates data-driven overfitting and ensures accurate results across all design variations. Comprehensive examples for single- and double-layer CMOS processes (180 nm and 65 nm) and PCBs confirm that MAPES achieves high prediction accuracy with 600- 2000x speed improvement compared to CST simulations. Owing to its efficiency, scalability and reliability, MAPES provides a practical and versatile tool for AI-assisted MW circuit and RFIC design across diverse fabrication technologies. |
| title | Multiport Analytical Pixel Electromagnetic Simulator (MAPES) for AI-assisted RFIC and Microwave Circuit Design |
| topic | Signal Processing Systems and Control |
| url | https://arxiv.org/abs/2511.21274 |