An electromagnetic perspective of artificial intelligence neuromorphic chips

EP Li, H Ma, M Ahmed, T Tao, Z Gu… - Electromagnetic …, 2023 - ieeexplore.ieee.org
The emergence of artificial intelligence has represented great potential in solving a wide
range of complex problems. However, traditional general-purpose chips based on von …

Simulation and automated modeling of microwave circuits: State-of-the-art and emerging trends

QJ Zhang, E Gad, B Nouri, W Na… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Microwave modeling and simulation are essential to designing microwave circuits and
systems. Although fundamental concepts and approaches for modeling and simulation are …

Machine learning and uncertainty quantification for surrogate models of integrated devices with a large number of parameters

R Trinchero, M Larbi, HM Torun, FG Canavero… - IEEE …, 2018 - ieeexplore.ieee.org
This paper deals with the application of the support vector machine (SVM) and the least-
squares SVM regressions to the uncertainty quantification of complex systems with a high …

Machine learning for the performance assessment of high-speed links

R Trinchero, P Manfredi, IS Stievano… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
This paper investigates the application of support vector machine to the modeling of high-
speed interconnects with largely varying and/or highly uncertain design parameters. The …

Data-driven extraction of uniformly stable and passive parameterized macromodels

T Bradde, S Grivet-Talocia, A Zanco… - IEEE Access, 2022 - ieeexplore.ieee.org
A robust algorithm for the extraction of reduced-order behavioral models from sampled
frequency responses is proposed. The system under investigation can be any Linear and …

A compressed multivariate macromodeling framework for fast transient verification of system-level power delivery networks

A Carlucci, T Bradde, S Grivet-Talocia… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
This article discusses a reduced-order modeling and simulation approach for fast transient
power integrity verification at full system level. The reference structure is a complete power …

Behavioral, parameterized, and broadband modeling of wired interconnects with internal discontinuities

S Grivet-Talocia, R Trinchero - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
We present a complete workflow for the extraction of behavioral reduced-order models of
wired interconnect links, including an explicit dependence on geometrical or material …

Modeling of eye diagram height in high-speed links via support vector machine

R Trinchero, FG Canavero - … on Signal and Power Integrity (SPI …, 2018 - ieeexplore.ieee.org
This paper presents a preliminary application of the support vector machine regression to
the modeling of the eye diagram heights in high speed links for design and optimization …

Fast simulation of analog circuit blocks under nonstationary operating conditions

T Bradde, S Grivet-Talocia, P Toledo… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
This article proposes a black-box behavioral modeling framework for analog circuit blocks
(CBs) operating under small-signal conditions around nonstationary operating points. Such …

Toward fully automated high-dimensional parameterized macromodeling

A Zanco, S Grivet-Talocia - IEEE Transactions on Components …, 2021 - ieeexplore.ieee.org
This article presents a fully automated algorithm for the extraction of parameterized
macromodels from frequency responses. The reference framework is based on a frequency …