Master 2 internship offer: magnon-magnon interactions for advanced wave-based computing

Scientific project:

CMOS technology through transistor scaling has been the main driver for the huge productivity growth registered over the past 50 years. However, transistor scaling is approaching its physical limits and new devices and architectures are being investigated to continue the performance scaling. To replace the silicon transistor, many devices have been proposed and are currently at varying levels of maturity – from ideas to experimental demonstrations. Devices with magnons (i.e. propagating waves formed by collective spin excitations) as a state variable is one of the promising concepts for wave-based computing.

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Postdoc offer: Magnetoresistive detection of confined spin waves in domain walls

Context

A periodic disturbance in local ferromagnetic ordering can propagate in a magnetic material in the form of a wave called a spin wave or a magnon. “Magnonics” is a field of research for the forthcoming beyond CMOS era; it harnesses magnons to transmit and process information using sophisticated spin wave devices and conduits. The standard spin wave conduits rely on spin waves in in-plane magnetized materials. There the spin waves are difficult to guide in curved conduits because of their anisotropic dispersion properties. Besides, miniaturization to deep sub-micron dimensions is a challenge as spin waves are sensitive to structural changes such as lithography-induced roughness at the conduit edges.

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Stage de M2: Détection de non-linéarité et analyse de séries temporelles – Application à des systèmes spintroniques

Introduction et contexte

La modélisation de systèmes complexes à partir de principes fondamentaux de la physique n’est pas tou- jours possible, en particulier en l’absence d’information de nature structurelle. La stratégie alors adoptée consiste à récupérer des séries temporelles générées par ces systèmes et proposer des modèles prédictifs pour les décrire. Une telle démarche a été rencontrée par exemple avec les modèles linéaires dits AR, MA et ARMA utilisés typiquement en sciences de l’ingénieur [1].

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