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, [...]
I came across the new Czech Technical University (CTU) in Prague Starting Grant 2026 today, and it looked like one of the more credible early-career principal investigator (PI) “launch your own group” schemes I’ve seen from a European university. The basic offer is strong. The grant funds up to three years, with up to CZK [...]
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, [...]
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