Nanowerk May 18, 2021 Widespread use of the 2.4GHz radio frequency that uses WiFi has made excess signals available to be tapped for alternative uses. An international team of researchers (Singapore, India, Japan) has demonstrated electrical synchronization of four non-vortex uniformly magnetized spin-torque oscillators (STOs) using a single common current source in both parallel and series configurations at 2.4 GHz band, resolving the frequency-area quandary for designing STO based on-chip communication systems. The synchronized STOs showed an excellent time-domain stability and substantially improved phase noise performance. By integrating the electrically connected eight STOs, they demonstrated the battery-free energy-harvesting system utilizing the […]
Tag Archives: Neuromorphic computing
Scientists uncover secrets to designing brain-like devices
Phys.org November 10, 2020 To create devices that mimic what occurs in our brain’s neurons and synapses, researchers need to overcome a fundamental molecular engineering challenge: how to design devices that exhibit controllable and energy-efficient transition between different resistive states triggered by incoming stimuli. A team of researchers in the US (University of Chicago, Argonne National Laboratory) investigated the defective cobaltites and unraveled the structural, electronic, and magnetic changes responsible for the metal-to-insulator transition (MIT) when oxygen vacancies are introduced in the material. They showed that cooperative structural distortions instead of local bonding changes are responsible for the MIT, described […]
Special blend of circuits and memristive devices created for brain-mimicking processing systems
Phys.org March 24, 2020 Memristive systems offer promising solutions for implementing novel in-memory computing architectures for machine learning and data analysis problems. An international team of researchers (Germany, Switzerland) argue that they are also ideal building blocks for integration in neuromorphic electronic circuits suitable for ultra-low power brain-inspired sensory processing systems. They present a recipe for creating such systems based on design strategies and computing principles inspired by those used in mammalian brains, enumerate the specifications and properties of memristive devices required to support always-on learning in neuromorphic computing systems and to minimize their power consumption. They discuss in what […]
Design of inorganic materials for brain-like computing
Science Daily March 3, 2020 A team of researchers in the US (Texas A&M, Lawrence Berkeley National Laboratory) demonstrated that β′-CuxV2O5 exhibits a pronounced nonlinear response to applied temperature, voltage, and current, and the response can be modulated as a function of Cu stoichiometry. Unlike other materials that have a metal-insulator transition (MIT), this material relies on the movement of copper ions within a rigid lattice of vanadium and oxygen. They clarified the underlying mechanism driving this behavior. The utilization of coupled cation diffusion and polaron oscillation further demonstrates a means of using ionic vectors to obtain highly nonlinear conductance […]