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Electronic devices

The ongoing digitalization and electrification for more efficient usage of resources and energy require better and more efficient electronic devices. We perform research on novel high-performance devices. This ranges from wide bandgap devices for power electronics, to efficient memory and devices ideally suited for the implementation of artificial intelligence to quantum-enabled cryogenic electronics.

Project areas within Electronic devices

Power and RF Electronics

Photo of field effect transistor

Wide bandgap materials, such as GaN, AlGaN and Ga2O3 are key future technologies in order to enable high performance power electronic systems such as switches and inverters. The large bandgaps and associated figure of merits can enable scaled devices operating at higher frequencies with lower losses than what is possible in Si and SiC technologies.  We build devices suitable for high-power applications, aiming at medium (600V) to high 1200+ V) voltage operation, with favorable Ron/VBR capabilities, with materials moving towards ultra-wide bandgap systems.

RF systems with operation frequencies above 100+ GHz are important for the application of future (6G) communication systems, and can lie beyond what will be possible using only Si-based RF-CMOS type of technologies. We explore high-performance In-rich, narrow bandgap systems in geometries suitable for device operation in the hundreds to GHz regime.

Neuromorphic Computing

Although machine learning is becoming invaluable in many industrial sectors, the technology remains incompatible with important use cases such as edge computing and extended reality, which imposes strict constraints on hardware energy usage and forms factor. This is addressed by neuromorphic hardware that mimics the structure and the functionality of the biological neural networks, to gain in terms of parallelism and energy consumption. Such hardware could save up to 10 000x in energy compared to conventional designs, thus being a disruptive technology. Neuromorphic hardware can be realized in many ways, in digital circuits, photonic networks, or in analog nanoelectronic devices. Within NanoLund we explore several of these approaches focusing both on biologically accurate spiking neural networks in collaboration with biologists and integrated electronic systems for in-memory computation based on nanoscale memristor technology in combination with Si CMOS.

Cryogenic Electronics

Diagram despcripted

The search for highly energy-efficient electronics, as well as for application within quantum technology has initiated an interest in electronic devices operating at cryogenic temperature.  Here we explore devices and device concepts operating at low temperatures. Of special interest are the transport properties of Field Effect Transistors av mK temperatures, and hybrid superconducting/semiconducting systems for quantum technologies.