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M. Geilen

Publications and source records attributed to M. Geilen.

3 recordsLinked to original sources

Amplification and frequency conversion of spin waves using acoustic waves

We numerically study the acoustic parametric amplification of spin waves using surface acoustic waves (SAW) in a magnetic thin film. First, we illustrate how the process of parametric spin-wave generation using short-waved SAWs with a fixed frequency allows to tune frequencies of the generated spin waves by the applied magnetic field. We further present the amplification of microwave driven spin waves using this method. The decay length and the amplitude of the driven spin waves can be amplified up to approximately 2.5 and 10 times compared to the reference signal, respectively. More importantly, the proposed design can be used as a frequency converter, in which a low (high) frequency spin-wave mode stimulates the excitation of a high (low) frequency mode. Our results pave the way in designing highly flexible and efficient hybrid magnonic device architectures for microwave data transport and processing.

physics.app-ph

CONVOLVE: Smart and seamless design of smart edge processors

With the rise of Deep Learning (DL), our world braces for AI in every edge device, creating an urgent need for edge-AI SoCs. This SoC hardware needs to support high throughput, reliable and secure AI processing at Ultra Low Power (ULP), with a very short time to market. With its strong legacy in edge solutions and open processing platforms, the EU is well-positioned to become a leader in this SoC market. However, this requires AI edge processing to become at least 100 times more energy-efficient, while offering sufficient flexibility and scalability to deal with AI as a fast-moving target. Since the design space of these complex SoCs is huge, advanced tooling is needed to make their design tractable. The CONVOLVE project (currently in Inital stage) addresses these roadblocks. It takes a holistic approach with innovations at all levels of the design hierarchy. Starting with an overview of SOTA DL processing support and our project methodology, this paper presents 8 important design choices largely impacting the energy efficiency and flexibility of DL hardware. Finding good solutions is key to making smart-edge computing a reality.

cs.AR

Integrated magnonic half-adder

Spin waves and their quanta magnons open up a promising branch of high-speed and low-power information processing. Several important milestones were achieved recently in the realization of separate magnonic data processing units including logic gates, a magnon transistor and units for non-Boolean computing. Nevertheless, the realization of an integrated magnonic circuit consisting of at least two logic gates and suitable for further integration is still an unresolved challenge. Here we demonstrate such an integrated circuit numerically on the example of a magnonic half-adder. Its key element is a nonlinear directional coupler serving as combined XOR and AND logic gate that utilizes the dependence of the spin wave dispersion on its amplitude. The circuit constitutes of only three planar nano-waveguides and processes all information within the magnon domain. Benchmarking of the proposed device is performed showing the potential for sub-aJ energy consumption per operation.

physics.app-ph