Category Technology/Electronics

Majorana fermions promise information technology with zero resistance. A new, multi-node FLEET review investigates the search for Majorana fermions in iron-based superconductors.

The elusive Majorana fermion, or ‘angel particle’ proposed by Ettore Majorana in 1937, simultaneously behaves like a particle and an antiparticle — and surprisingly remains stable rather than being self-destructive.

Majorana fermions promise information and communications technology with zero resistance, addressing the rising energy consumption of modern electronics (already 8% of global electricity consumption), and promising a sustainable future...

Researchers have developed a highly efficient organic bipolar transistor. The work opens up new perspectives for organic electronics – both in data processing and transmission, as well as in medical technology applications.

Prof. Karl Leo has been thinking about the realization of this component for more than 20 years, now it has become reality: His research group at the Institute for Applied Physics at the TU Dresden has presented the first highly efficient organic bipolar transistor. The results of the research work have now been published in the leading specialist journal Nature.

The invention of the transisto...

5G networks are becoming more prevalent worldwide. Many consumer devices that support 5G are already benefiting from increased speeds and lower latency. However, some frequency bands allocated for 5G are not effectively utilized owing to technological limitations. These frequency bands include the New Radio (NR) 39 GHz band, but actually span from 37 GHz to 43.5 GHz, depending on the country. The NR band offers notable advantages in performance over other lower frequency bands 5G networks use today. For instance, it enables ultralow latency in communication along with data rates of over 10 Gb/s and a massive capacity to accommodate several users.

However, these feats come at a cost. High-frequency signals are attenuated quickly as they travel through space...

As artificial intelligence and deep learning techniques become increasingly advanced, engineers will need to create hardware that can run their computations both reliably and efficiently. Neuromorphic computing hardware, which is inspired by the structure and biology of the human brain, could be particularly promising for supporting the operation of sophisticated deep neural networks (DNNs).

Researchers at Graz University of Technology and Intel have recently demonstrated the huge potential of neuromorphic computing hardware for running DNNs in an experimental setting...