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Making the Internet of Things Possible With a New Breed of 'memristors'

By Aalto University

January 12, 2018

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Researchers at Aalto University in Finland say they have designed and fabricated the building blocks of future components for neuromorphic computers.

Aalto's Sayani Majumdar says the goal is to achieve the extreme energy efficiency of a human brain and mimic the way neural networks process information via electric impulses.

The researchers developed "ferroelectric tunnel junctions," which are nanometers-thick ferroelectric thin films sandwiched between two electrodes, with abilities beyond existing technologies that could lead to energy efficient and stable neuromorphic computing. The junctions rely on various electrode materials and less than five volts of electricity, and they also can retain data for more than 10 years without power.

The researchers say ferroelectric thin-film components are well suited for neuromorphic computers because they can switch between binary states and a large number of intermediate states, enabling them to store information for a long period of time with small amounts of energy.

From Aalto University
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