When I was in the first grade and just learning to read and write, I recall a page in our schoolbook that featured pictures of people in various occupations. The teacher asked us, “Which one would you like to become when you grow up?” Most of my classmates chose the usual answers, such as doctor, [...]
physics-informed neural networks
Today, I want to share with you another story (after this similar one shared earlier) about bridging machine learning with circuit simulation. Recently, I succeeded in teaching neural networks to speak the language of circuits again, this time however, I solved the spectral bias problem! You can read more about this success in my research [...]
After I published my earlier blog post on Ψ-NN (Physics Structure-Informed Neural Networks), I received a very kind comment from one of the authors. In that reply, they pointed me to two earlier projects from the same research line: AsPINN (Adaptive Symmetry-Recomposition Physics-Informed Neural Networks) and AtPINN (Adaptive Transfer Learning for PINN). At first glance, [...]
Happy to announce that I’ve taken a meaningful step toward bridging the gap between AI and circuit/device modeling. It is my absolute pleasure to introduce Ψ-HDL (pronounced Psi-HDL), my Physics Structure-Informed Hardware Description Language framework. This work builds directly on the Ψ-NN (Physics structure-informed neural network) discovery framework introduced by Liu et al. (Nature Communications, [...]
My research paper „A Physics-Regularized Neural Surrogate Framework for Printed Memristors“ was published today in the IEEE Access journal (IF: 3.6). I had the idea for this paper initially while working on the „Print the Brain“ project at TU Chemnitz in 2024, and thought about it in my free time while at ERCEA in Brussels [...]
Every so often, a paper comes along that feels like it bridges two worlds that have been talking past each other. Recently, I came across one of those papers: “Automatic network structure discovery of physics informed neural networks via knowledge distillation” by Ziti Liu and colleagues. It’s an ambitious piece of work that tries to [...]
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