UNIMAN: University of
Manchester
UNIMAN is host to significant expertise in both experimental and computational condensed matter physics, with a rich history of significant discoveries in this domain as well as pioneering and foundational milestones in Artificial Intelligence and computing hardware (e.g., The Manchester Baby, also called the Small-Scale Experimental Machine (SSEM) demonstrated the first stored program computer, the first floating point machine, the first transistor computer and the first computer to use virtual memory and Alan Turing’s article Computing Machinery and Intelligence). The UNIMAN Skyrmionics team has leading expertise on spintronic and skyrmionic devices and has recently published work proposing the design of room-temperature skyrmionic synapses for spiking neural network paradigms and proposing the first non-volatile skyrmionic interconnects for automatic signal (de)multiplexing. The comprehensive nanofabrication and characterisation facilities offered by the National Graphene Institute (NGI) and the Henry Royce Institute will maximise the quality and impact of the experimental work conducted at UNIMAN
Competence relevant to
SkyANN
At SkyANN, the University of Manchester brings its expertise in skyrmion physics and artificial intelligence. Our Skyrmionics team specializes in both topological and non-topological spin textures, as well as the dynamics of skyrmionic textures. We actively work on growing magnetic multilayers and engineering their magnetic properties to optimize key attributes such as anisotropy and the Dzyaloshinskii-Moriya interaction. Utilizing a combination of characterization techniques, including X-ray imaging and Magnetic Force Microscopy, along with micromagnetic simulations, we aim to explore skyrmion physics and exploit it for innovative devices. Our goal is to enable applications like synaptic functionality, nanocomputing, signal multiplexing, and neuro-inspired computing.
Role in the
project
UNIMAN is the scientific coordinator, a work package leader for WP2 Skyrmionic Synaptic Integration and deputy for WP5&6. UNIMAN is also involved in all the other work packages and has recently proposed a magnetic multilayer skyrmionics synapse and the first non-volatile skyrmionic interconnect.
UNIMAN: University of
Manchester
UNIMAN is host to significant expertise in both experimental and computational condensed matter physics, with a rich history of significant discoveries in this domain as well as pioneering and foundational milestones in Artificial Intelligence and computing hardware (e.g., The Manchester Baby, also called the Small-Scale Experimental Machine (SSEM) demonstrated the first stored program computer, the first floating point machine, the first transistor computer and the first computer to use virtual memory and Alan Turing’s article Computing Machinery and Intelligence). The UNIMAN Skyrmionics team has leading expertise on spintronic and skyrmionic devices and has recently published work proposing the design of room-temperature skyrmionic synapses for spiking neural network paradigms and proposing the first non-volatile skyrmionic interconnects for automatic signal (de)multiplexing. The comprehensive nanofabrication and characterisation facilities offered by the National Graphene Institute (NGI) and the Henry Royce Institute will maximise the quality and impact of the experimental work conducted at UNIMAN.
Competence relevant to
SkyANN
At SkyANN, the University of Manchester brings its expertise in skyrmion physics and artificial intelligence. Our Skyrmionics team specializes in both topological and non-topological spin textures, as well as the dynamics of skyrmionic textures. We actively work on growing magnetic multilayers and engineering their magnetic properties to optimize key attributes such as anisotropy and the Dzyaloshinskii-Moriya interaction. Utilizing a combination of characterization techniques, including X-ray imaging and Magnetic Force Microscopy, along with micromagnetic simulations, we aim to explore skyrmion physics and exploit it for innovative devices. Our goal is to enable applications like synaptic functionality, nanocomputing, signal multiplexing, and neuro-inspired computing.
Role in the
project
UNIMAN is the scientific coordinator, a work package leader for WP2 Skyrmionic Synaptic Integration and deputy for WP5&6. UNIMAN is also involved in all the other work packages and has recently proposed a magnetic multilayer skyrmionics synapse and the first non-volatile skyrmionic interconnect.
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