Optical Control of Adaptive Nanoscale Domain Networks

TL;DR

This paper demonstrates real-space visualization and control of nanoscale domain networks in superlattices using ultrafast optical excitations, revealing their adaptive behavior and potential for light-programmable nanocircuits.

Contribution

It introduces a novel optical control method for nanoscale domain networks and combines experimental imaging with machine learning and simulations for comprehensive understanding.

Findings

Nanodomain networks can be optically reconfigured in real space.

Light induces drastic changes in domain boundaries and connectivity.

Adaptive responses explore metastable states, enabling programmable nanocircuits.

Abstract

Adaptive networks can sense and adjust to dynamic environments to optimize their performance. Understanding their nanoscale responses to external stimuli is essential for applications in nanodevices and neuromorphic computing. However, it is challenging to image such responses on the nanoscale with crystallographic sensitivity. Here, the evolution of nanodomain networks in (PbTiO3)n/(SrTiO3)n superlattices was directly visualized in real space as the system adapts to ultrafast repetitive optical excitations that emulate controlled neural inputs. The adaptive response allows the system to explore a wealth of metastable states that were previously inaccessible. Their reconfiguration and competition were quantitatively measured by scanning x-ray nanodiffraction as a function of the number of applied pulses, in which crystallographic characteristics were quantitatively assessed by assorted diffraction patterns using unsupervised machine-learning methods. The corresponding domain boundaries and their connectivity were drastically altered by light, holding promise for light-programmable nanocircuits in analogy to neuroplasticity. Phase-field simulations elucidate that the reconfiguration of the domain networks is a result of the interplay between photocarriers and transient lattice temperature. The demonstrated optical control scheme and the uncovered nanoscopic insights open opportunities for remote control of adaptive nanoscale domain networks.