The most advanced magnetics design technology is now online

If you already know us, you must be aware we are building a magnetic design software (if not, check us:!). We are not the only or first people doing this, there are other more established software tools but we believe there is room for improvement (and we are not alone in this thinking, right so we are building the next generation. 

We offer many new and classical features: an online platform (forget about installations, welcome to the cloud: (, intuitive design flow (fare thee well, RTFM) or the latest products from manufacturers (really, where do people find 3F3 cores anymore?), but my favorite is that we also provide new models for predicting magnetic parameters! Somebody might argue we have enough models already, but we aim to provide a universal model (I hear you, Randall Munroe,

About what, you might be asking in your mind: leakage inductance, core losses, AC resistance? Well, all of them.





Classical, McLyman, Kazimierczuk, Muehlethaler, Frenetic

Leakage inductance

Kapp, Dowell, Hurley, McLyman, Ouyang, Rogowski, Xi, Meeker, Mogorovic, Margueron, Frenetic

AC resistance

Bennett and Larson, Dowell, Ferreira, Kazimierczuk, Frenetic

Core losses

Steinmetz, MSE, GSE, NSE, ISE, iGSE, WCSE, CWH, DNSE, Frenetic


Spending some time in Power Electronics public forums and conversations brings you to the realization that complex modeling has more opponents than supporters (I cannot fathom how somebody can label the use of double integral of first-order Bessel functions as too complex), while simple analytical equations can only take you so far. However, everybody agrees that the unequivocally and true way to go is measurements, as how can we predict better the real magnetic than by observing it? 

So after all this rambling, I just came to the conclusion that to predict and design a magnetic accurately you must build it and measure it. The Wizard of Schenectady is frowning down at me.

The point I wanted to bring up is, though the story of a specific magnetic design usually ends at measurement, there is a continuation for the knowledge achieved. The way I see it there are three paths: The engineer keeps that knowledge to themself, so they can learn and be a better professional. The engineer passes that knowledge along to their pupils, creating a dynasty of wiser engineers. Or that measurement conclusion can be shared and put to good use for the whole of humanity.

We at Frenetic are betting on the third option: by creating and training an A.I. able to learn from these measurements and design better magnetics than any human engineer, we can fulfill the previous promise of a universal model that can predict any magnetic parameter. So I will never get to be at Steinmetz’s stature, but I like to think that someday our A.I. will be.

Subscribe below if you want our articles and posts straight into your inbox!

Recommended application notes: