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Adaptive Ferroelectric Materials show Promise for Energy-Efficient Supercomputing

Artistic rendering showing light pulses striking a computer chip.
Artistic rendering representing light pulses yielding adaptive transformations in nanodomain structures applicable to neuromorphic computing. (Image by Argonne National Laboratory/Haidan Wen and Ellen Weiss.)

Researchers have revealed an adaptive response with a ferroelectric device, which responds to light pulses in a way that resembles the plasticity of neural networks. This behavior could find application in energy-efficient microelectronics.

“Today’s supercomputers and data centers demand many megawatts of power,” said Haidan Wen, a physicist at the U.S. Department of Energy (DOE) Argonne National Laboratory. “One challenge is to find materials for more energy-efficient microelectronics...

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