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 [...]
Czech Technical University in Prague Introduces a New Starting Grant 2026Ψ-HDL: Physics Structure-Informed Neural Networks for Hardware Description Language GenerationA Physics-Regularized Neural Surrogate Framework for Printed MemristorsRomania after 1989: The Diary of a People in the Shadow of DemocracyThe European Research Council Unveils Its New ERC Plus Grant Program
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