Artificial intelligence (AI) techniques have been spreading in most scientific areas and have
become a heated focus in photonics research in recent years. Forward modeling and …

The use of computational intelligence models for multi-step time series forecasting tasks has
presented satisfactory results in such a way that they are considered models with an …

An innovative modeling methodology for the simulation of electrothermal interaction in
power devices, based on neural networks (NNs), is shown. The suitability of NNs in …

We introduce CompNN, a compositional method for the construction of a neural-network
(NN) capturing the dynamic behavior of a complex analog multiple-input multiple-output …

The explosive growth of electronic devices brings a soaring demand for rapid
electromagnetic compatibility (EMC) diagnosis. However, there is a significant learning …

This paper introduces a black-box method for automatically learning an approximate but
simulation-time efficient high-level abstraction of given analog integrated circuit (IC). The …

This paper evaluates & compares, through electrical simulation, the immunity of multi-stage
current starved voltage controlled oscillators (CSVCOs) and ring oscillators (ROs) submitted …

Low dropout voltage regulators (LDOs) play a crucial role in power management circuits.
Unfortunately, long-term instability may threaten their functionality as well as their EMC …

A black-box model architecture with separate DC and RF sub-models is presented that
enables building accurate behavioural models of nonlinear integrated circuit blocks for time …

With the development of Integrated circuit towards miniaturization, broadband and high
integration density, the reliability of interconnection solder joint has become the main factor …