Thermal memristor and neuromorphic networks for manipulating heat flow
Disordered Systems and Neural Networks
2017-06-05 v2 Mesoscale and Nanoscale Physics
Soft Condensed Matter
Classical Physics
Abstract
A memristor is one of four fundamental two-terminal solid elements in electronics. In addition with the resistor, the capacitor and the inductor, this passive element relates the electric charges to current in solid state elements. Here we report the existence of a thermal analog for this element made with metal-insulator transition materials. We demonstrate that these memristive systems can be used to create thermal neurons opening so the way to neuromophic networks for smart thermal management and information treatment.
Keywords
Cite
@article{arxiv.1702.08804,
title = {Thermal memristor and neuromorphic networks for manipulating heat flow},
author = {Philippe Ben-Abdallah},
journal= {arXiv preprint arXiv:1702.08804},
year = {2017}
}