# Ferroelectric nanodot reservoir for neuromorphic computing

## TL;DR

This paper introduces a new type of neuromorphic computing device using ferroelectric nanodots to process information efficiently.

## Contribution

The novelty lies in using ferroelectric nanodots as a reservoir for neuromorphic computing, leveraging their polarization states for information encoding.

## Key findings

- Ferroelectric nanodots can store and process information through stable polarization states.
- The device efficiently maps signals into high-dimensional polarization configurations.
- The system provides a dynamic representation suitable for neuromorphic circuits.

## Abstract

We present a ferroelectric-based data reservoir designed for neuromorphic computing applications. The reservoir consists of an ensemble of nonlinear ferroelectric nanodots capable of storing information through their stable polarization states. These nanodots are confined between electrodes and form a network of parallel connected capacitive elements, which can either be addressed individually or integrated between common conducting plates. By leveraging the intrinsic nonlinearity and memory of ferroelectric polarization switching, the device maps incoming signals into a high-dimensional space of polarization configurations. This physical transformation enables efficient temporal information encoding and provides a rich dynamic representation for subsequent processing in a readout layer of a neuromorphic circuit.