Earlier this month, I wrote about submitting PSI-MEM, my first MSCA Postdoctoral Fellowship proposal, and about the scientific question at its centre. Can structural regularities in printed-memristor dynamics remain reproducible despite cycle-to-cycle, device-to-device, and fabrication-batch variability? Since then, I have continued thinking about the broader idea behind that question. Not specifically about the proposal itself, [...]
As the Ψ-family has grown, a practical question has naturally appeared: with several related frameworks now available, which one should you actually use for a particular scientific or engineering problem? The answer is not simply to choose the newest framework, because these methods are not redundant versions of the same idea. Each one was developed [...]
Today, my latest work, “Ψ-Vortex: Structure-Regularized Recurrent Learning for Latent Thermal-Coupling Inference and Verilog-A Compact Modeling of 3-D Neuromorphic Devices,” has been published in IEEE Access (IF: 4.2). The supplementary experiments document can be seen here. The Ψ-Vortex design rationale document can be seen here. The code, data, configurations, trained artifacts, and reproducibility materials for [...]
Today I submitted PSI-MEM (Physics Structure-Informed Modeling of Printed Memristors for Neuromorphic and Intelligent Sensing), my own very first research proposal built around a research direction that I developed and now want to take into an experimental setting. The proposal was submitted to the Marie Skłodowska-Curie Actions Postdoctoral Fellowships (MSCA-PF) call, with CENIMAT|i3N at NOVA [...]
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 [...]
Today was my last working day as a postdoctoral researcher at TU Chemnitz, where I had been researching in the area of neuromorphic computing for the past six months. It was a very interesting endeavor, and I am grateful to have been part of it. I worked on the „Print the Brain“ project (which was [...]
Today, exactly 5 months since I started working as a neuromorphic computing researcher at pmTUC, my first research paper in this field, „SNNtrainer3D: Training Spiking Neural Networks using a User-friendly Application with 3D Architecture Visualization Capabilities“ was published in the MDPI’s Applied Sciences journal. Abstract: Spiking Neural Networks have gained significant attention due to their [...]
A few days ago, I visited LOPEC (Large-area, Organic & Printed Electronics Convention) held in Munich from March 5-7, 2024. This event is recognized as the world’s leading exhibition and conference for flexible, organic, and printed electronics. It brings together industry leaders, manufacturers, engineers, suppliers, and key decision-makers in the field, providing a global platform [...]
Physics Structure-Informed Modeling for Emerging ElectronicsWhich Ψ Framework Should You Use? Ψ-NN, Ψ-HDL, Ψ-xLSTM, or Ψ-Vortex?A from-scratch tutorial on Ψ-Vortex („Psi-Vortex“)Ψ-Vortex: Structure-Regularized Recurrent Learning for Latent Thermal-Coupling Inference and Verilog-A Compact Modeling of 3-D Neuromorphic DevicesToday I Submitted My First MSCA-PF Research Proposal
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