Ferroelectric binary oxides thin films are garnering attention for their superior compatibility over traditional perovskite-based ferroelectric materials. Its compatibility and scalability within the CMOS framework make it ...
In an article published in Nature Communications, an international team led by researchers from the Nanodevices group at CIC nanoGUNE succeeded in voltage-based magnetization switching and reading of magnetoelectric spin-orbit ...
Nanoscale transistors are in demand for efficient digital circuits, and biasing of each device is critical. These stringent biasing conditions can be relaxed by obtaining precise values of the threshold voltages of the transistor. ...
Electronic devices typically use the charge of electrons, but spin—their other degree of freedom—is starting to be exploited. Spin defects make crystalline materials highly useful for quantum-based devices such as ultrasensitive ...
Neuromorphic computers do not calculate using zeros and ones. They instead use physical phenomena to detect patterns in large data streams at blazing fast speed and in an extremely energy-efficient manner.
Australian engineers have discovered a new way of precisely controlling single electrons nestled in quantum dots that run logic gates. What's more, the new mechanism is less bulky and requires fewer parts, which could prove ...
Quantum computers promise to dramatically affect selected application fields, including materials synthesis, pharmaceutical drug development, and cybersecurity—to name a few.
An RMIT-led international collaboration has observed, for the first time, electric gate-controlled exchange-bias effect in van der Waals (vdW) heterostructures, offering a promising platform for future energy-efficient, beyond-CMOS ...
In its heyday, UIUC's Blue Waters was one of the world's top supercomputers. Anyone who was curious could drop by its 30,000-square-foot machine room for a tour, and spend half an hour strolling among the 288 huge black cabinets, ...
Neuromorphic photonics/electronics is the future of ultralow energy intelligent computing and artificial intelligence (AI). In recent years, inspired by the human brain, artificial neuromorphic devices have attracted extensive ...
