The spin diode (January 22nd, 2024)
Spin electronics applies to a wide range of materials: metals, where spin is transported by electrons, but also magnetic insulators, where spin is transported by magnons. The latter are of interest because in certain insulators, such as yttrium iron garnet (YIG), it is predicted that one could reach a state of superfluidity, i.e. spin transport […]
Read moreLocal setting of spin textures in antiferromagnets (December 11th, 2023)
The setting of spin textures in antiferromagnets (AFMs) provides a potential route to antiferromagnetic spintronic devices with non-collinear spin states such as skyrmions, bubbles and domain walls. In this work, a consortium of physicists from SPINTEC and York establish a solution for overcoming the challenge of nucleating localized real-space spin textures in AFMs, promoting the […]
Read morePhilippe Sabon is one of the recipients of the CNRS 2023 Collective Crystal for the Repotech project (December 05th, 2023)
Philippe Sabon, research engineer and head of the nanofabrication team at SPINTEC, and manager of the Technological Service team of the PTA / LTM-SPINTEC platform, is one of the recipients of the CNRS 2023 Collective Crystal for the Repotech project. The collective crystal distinguishes teams of women and men, support staff in research, who have […]
Read moreSeminar – New opportunities for spintronic technology from Internet of Things to coprocessors (November 27th, 2023)
On wednesday November 29th 2023, we have the pleasure to welcome in SPINTEC Prof. Giovanni Finocchio from University of Messina (Italy) He will give a seminar at 14:30 entitled New opportunities for spintronic technology from Internet of Things to coprocessors Place : IRIG/SPINTEC, auditorium 445 CEA Building 10.05 (access to CEA (*)) Visioconference link : […]
Read moreIn plane reorientation induced single laser pulse magnetization reversal (October 27th, 2023)
We demonstrate that single pulse all optical helicity independent switching can be generalized for a large range of rare earth–transition metal multilayers. The threshold fluence for switching is observed to be independent of the pulse duration and, at high laser intensities, concentric ring domain structures are induced, unveiling multiple fluence thresholds. These striking switching features […]
Read moreSpiking neuron based on magnetic tunnel junction with dual free layer (October 27th, 2023)
We demonstrate that a perpendicular magnetic tunnel junction (MTJ) is capable of emulating an artificial spiked neuron. The magnetic stack has been designed so that the MTJ has two free layers, whose magnetization can be driven in a windmill-like dynamic by the spin transfer torque. The output-spiking rate is tunable by the dc bias voltage. […]
Read moreThree years engineer researcher position (October 27th, 2023)
Spintec laboratory is opening a up-to three years engineer researcher position in the framework of the PEPR electronics (part of France 2030 strategy) – project EMCOM (emerging memories for computing). Context: The cost of transferring information between different layers of storage and computing units now domi-nates the energy performance of conventional processors. This has […]
Read moreA high gain flux concentrator greatly amplifies the sensitivity of a magnetic field sensor (October 16th, 2023)
The large magnetometers currently used onboard satellites for space exploration cannot be installed in the tiny nanosatellites (cubesat) that are envisioned for multipoint measurements. As a first step towards the realization of a miniature space magnetometer, Spintec has demonstrated a strong amplification of the sensitivity of a magnetic field sensor on chip. The current magnetometers […]
Read moreSpinDrop: Dropout Based Bayesian Binary Neural Networks with STT-MRAM (October 16th, 2023)
Bayesian NN (BayNN) using Dropout-based approximation provides a systematic approach for estimating the uncertainty of predictions. Despite such merit, they are not suitable for implementation in an embedded device and in most cases cannot meet high-performance demands for certain applications. Computation in-memory (CiM) architecture with spintronics emerging non-volatile memories (NVMs) is a great candidate for […]
Read morePhD offer – Reliable In Memory Computing Implementation of stochastic ultra-low-power bioinspired neural networks (October 10th, 2023)
Context The automated resolution of cognitive tasks primarily relies on learning algorithms applied to neural networks which, when executed on standard CMOS based digital architectures, lead to a power consumption several orders of magnitude larger than what the brain would require. Moreover, Conventional Edge neural network solutions can only provide output predictions, lacking the ability […]
Read more