Nanoscale magnon computing by direct FIB writing in YIG

• Applicant: Professor Dr.-Ing. Markus Becherer
• Subject Area: Electronic Semiconductors, Components and Circuits, Integrated Systems, Sensor Technology, Theoretical Electrical Engineering
• Term: since 2023
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 514146693

The goal of this project is to design and experimentally realize analog magnonic computing devices in an Yttrium-Iron-Garnet (YIG) magnetic thin-film with computing power significantly exceeding the state-of-the-art in magnonics. For that, we use machine-learning techniques to design wave-based computing devices and apply Focused Ion Beam (FIB) patterning as a one-step tool to build chip-scale proof-of-principle computing systems. We will realize non-trivial non-Boolean (neuromorphic) computing functions in a merely few 10 by 10 micrometer chip size and with less than 100 eV power per operation dissipated in the magnetic domain. The devices we are going to demonstrate can achieve non-electrical, non-optical computing functions of highest complexity and intend to break a new path in chip-scale non-conventional computing devices. The devices will exhibit low-power behavior simultaneously with high speed---a feat that is very hard to achieve by other technologies.

• DFG Programme: Research Grants
• International Connection: Hungary
• Cooperation Partner: Professor Dr.-Ing. György Csaba