Memristive devices tagged posts

Complex Oxides could Power the Computers of the future

Complex oxides could power the computers of the future
These are the devices for computer architectures ‘beyond CMOS’ created by Job van Rijn (upper panel) and Anouk Goossens (lower panel). Credit: Banerjee group, University of Groningen

As the evolution of standard microchips is coming to an end, scientists are looking for a revolution. The big challenges are to design chips that are more energy efficient and to design devices that combine memory and logic (memristors). Materials scientists from the University of Groningen, the Netherlands, describe in two papers how complex oxides can be used to create very energy-efficient magneto-electric spin-orbit (MESO) devices and memristive devices with reduced dimensions.

The development of classic silicon-based computers is approaching its limits...

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New Insights into Memristive devices by combining Incipient Ferroelectrics and Graphene

The combination with graphene opens up a new path to memristive heterostructures combining ferroelectric materials and 2D materials. | Illustration Banerjee lab, University of Groningen

Scientists are working on new materials to create neuromorphic computers, with a design based on the human brain. A crucial component is a memristive device, the resistance of which depends on the history of the device — just like the response of our neurons depends on previous input. Materials scientists from the University of Groningen analysed the behaviour of strontium titanium oxide, a platform material for memristor research and used the 2D material graphene to probe it. On 11 November 2020, the results were published in the journal ACS Applied Materials and Interfaces.

Computers are giant calc...

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New Devices Emulate Human Biological Synapses

Highly nonlinear, fast and repeatable threshold switching behaviours of diffusive memristors.

Highly nonlinear, fast and repeatable threshold switching behaviours of diffusive memristors.

A new type of nanodevice for computer microprocessors that can mimic the functioning of a neural synapse has been developed by Engineers at the University of Massachusetts Amherst. Such neuromorphic computing in which microprocessors are configured more like human brains is one of the most promising transformative computing technologies currently under study. Prof. Yang describes the research as part of collaborative work on a new type of memristive device.

Memristive devices are electrical resistance switches that can alter their resistance based on the history of applied voltage and current...

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