Material stimulated by light pulses could be leap toward more energy-efficient supercomputing

(Funded by the U.S. Department of Energy)
Researchers from the U.S. Department of Energy’s Argonne National Laboratory and Lawrence Berkeley National Laboratory; Rice University; and Penn State University 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. The material is laden with networked islands or domains that are nanometers in size and can rearrange themselves in response to light pulses.

https://www.anl.gov/article/material-stimulated-by-light-pulses-could-be-leap-toward-more-energyefficient-supercomputing