Energy efficiency is becoming one of the most important topics in electronics. Among others, wide band-gap semiconductors can raise efficiency and lead to shrinking volumes in power conversion systems. As different markets have regulations that require different designs, it is necessary to cope with a large variety of similar designs. By using effective modeling and simulation strategies, the efforts of building these variants can be diminished, and re-designs can be avoided. In this paper, we present a universally valid way to come to reasonable simulation results for conducted emissions of a power electronic system in the frequency range from 150 kHz up to 400 MHz. After giving an overview of the state-of-the-art, the authors show how to implement and set up a simulation environment for a gallium-nitride (GaN) power converter. It shows how to differentiate between important and not that important components for Electromagnetic Compatibility (EMC), how to model these components, the printed circuit board, the load, and the setup, including the Line Impedance Stabilization Networks (LISNs), etc. Multiport S-parameter strategies as well as vector fitting methods are employed. Computational costs are kept low, and all simulations are verified with measurements; thus, this model is valid up to 400 MHz.

Employing multiobjective optimization (MOO) for grid-based 3-D electromagnetic simulations is computationally expensive. Using machine learning models as surrogates can mitigate this problem. However, for complex electromagnetic compatibility (EMC) systems, surrogates become inefficient since the required number of training samples leads to high model generation times. Furthermore, in EMC, the functions are often described in a frequency range. This demands a vectorial approach to the problem, which most methods cannot provide. In this work, we propose a Gaussian process model, called wideband Kriging, to generate a vector-valued model over frequency. We study, as an example, a high-voltage electromagnetic interference (EMI) filter's MOO over a design space of 17 parameters. The wideband Kriging needs only 450 training samples to achieve an accuracy of $<\!\!\text{1.5}\%$ for a frequency range from 1 kHz to 400 MHz. The model runs 800 times/minute, enabling its use for high dimensional MOOs. We find the best filter design concerning volume, current rating, electromagnetic compatibility (EMC) performance, and saturation.

This article describes the Cell Maps for Artificial Intelligence (CM4AI) project and its goals, methods, standards, current datasets, software tools, status, and future directions. CM4AI is the Functional Genomics Data Generation Project in the U.S. National Institute of Health’s (NIH) Bridge2AI program. Its overarching mission is to produce ethical, AI-ready datasets of cell architecture, inferred from multimodal data collected for human cell lines, to enable transformative biomedical AI research.

Shielded wires are widely used in electric and hybrid electric vehicles. Estimation of the radiated emissions from these cables require an appropriate description of the transfer impedance. The Kley Model describes this transfer impedance analytically as a function of geometrical parameters of the shield. The shield parameters are too intricate to be characterized and specified in datasheets, hence, the parameters have an uncertainty associated with them which does not allow unique modelling of the cable. These uncertain parameters generally influence the radiated emission characteristics of a given cable. Conventional techniques to analyze the parameters' impact are usually through several simulations or measurements based upon certain approximations of the uncertain parameters. In this article, we use Polynomial Chaos Expansion to construct a surrogate model of the radiated field in the frequency range from 10 MHz to 1 GHz as a function of all geometrical parameters of the shield. Surrogates are developed for Shielded Twisted Pairs and coaxial cables. We subsequently use the developed surrogate models to study the impact of variations of the shield parameters on the radiated electric fields.

Physical Equivalent Circuits of electronic devices are very useful for EMC root-cause analysis, because they boil down complex coupling paths into rather simple circuit schematics, displaying only relevant inductive and capacitive structures. However, their derivation can be extremely time-consuming and requires thorough understanding of the device under test. Recently, a method was proposed to derive such a circuit with the aid of a computer. Whereas the design of an inductive network is relatively straight forward, correct placement of only the relevant capacities is difficult. In frequency range of interest, there are often too few resonances to determine capacitances uniquely, revealing that capacity placement has typical properties of an ill-posed problem. Engineering intuition states that often, only few capacitances dominate the root-causes of an EMC spectrum. We present a regularization method that allows to quickly determine the C matrix with fewest number of entries via an iterative least squares minimization. We are thus able to compute a unique physically meaningful capacitance matrix of a physical equivalent circuit.

This paper investigates the use of simulations of the electromagnetic emission (EMI) caused by the switching activity of a gallium nitride half bridge used in a power electronics application to predict the maximum generated conducted emission at the power supply lines. By using a simulation model of the voltage method defined in the CISPR25 standard, the important parasitic elements of the electronic components and the measurement setup are taken into account, but complicated modeling and simulation techniques are avoided. It shows that a simple circuit simulation is an effective alternative to predict emissions at an early design stage. Examples of simulation models and simulation setups as well as the measurement of the emissions are presented. The simulation data match the measurements well and provide a good estimate of electromagnetic interference already in the initial phase of new developments.