Les mémoires associatives basées sur les nano-oscillateurs à transfert de spin

par Jérôme Williame

Projet de thèse en Electronique et Optoélectronique, Nano- et Microtechnologies

Sous la direction de Thibaut Devolder et de Joo-Von Kim.

Thèses en préparation à Paris Saclay , dans le cadre de Electrical,Optical,Bio: PHYSICS_AND_ENGINEERING , en partenariat avec Centre de Nanosciences et de Nanotechnologies (laboratoire) , Nanoélectronique (equipe de recherche) et de Université Paris-Sud (établissement de préparation de la thèse) depuis le 01-10-2015 .


  • Résumé

    The aim of this project is to investigate the possibility of using coupled spin-torque nano-oscillator arrays for bio-inspired applications, namely an associative memory [1]. This concept differs from traditional computer memories because they possess cognitive abilities, which allow information to be reconstructed from noisy or incomplete data. Furthermore, they allow information to be processed in parallel, which may lead to fast and energy efficient devices – a key goal of nanoelectronics research at present. Associative memories are useful for image recognition and could be applied as an efficient tool for “Big Data” applications. Spin-torque nano-oscillators (STNOs) are nanoscale magnetic systems in which magnetization is driven into self-oscillation by spin-polarized electrical currents [2]. They are strongly nonlinear with frequencies that are tuneable by magnetic fields and applied currents, and they can couple together and be synchronized to external signals. STNOs are promising candidates for bio-inspired applications like associative memories because their behaviour can mimic neurons in the brain. The research will primarily be theoretical but will involve close collaboration with experimentalists. The work will involve developing physical models and employing numerical simulations to understand coupling mechanisms between oscillators, such as spin-wave or vortex-antivortex mediated interactions, and conditions under which synchronization occurs. Aspects related to spin-dependent transport, stochastic resonance, and soliton dynamics will also be explored.

  • Titre traduit

    Associative memory operations with spin-torque nano-oscillators


  • Résumé

    The aim of this project is to investigate the possibility of using coupled spin-torque nano-oscillator arrays for bio-inspired applications, namely an associative memory [1]. This concept differs from traditional computer memories because they possess cognitive abilities, which allow information to be reconstructed from noisy or incomplete data. Furthermore, they allow information to be processed in parallel, which may lead to fast and energy efficient devices – a key goal of nanoelectronics research at present. Associative memories are useful for image recognition and could be applied as an efficient tool for “Big Data” applications. Spin-torque nano-oscillators (STNOs) are nanoscale magnetic systems in which magnetization is driven into self-oscillation by spin-polarized electrical currents [2]. They are strongly nonlinear with frequencies that are tuneable by magnetic fields and applied currents, and they can couple together and be synchronized to external signals. STNOs are promising candidates for bio-inspired applications like associative memories because their behaviour can mimic neurons in the brain. The research will primarily be theoretical but will involve close collaboration with experimentalists. The work will involve developing physical models and employing numerical simulations to understand coupling mechanisms between oscillators, such as spin-wave or vortex-antivortex mediated interactions, and conditions under which synchronization occurs. Aspects related to spin-dependent transport, stochastic resonance, and soliton dynamics will also be explored.