Understanding Anomalous Energy Transport in Semiconductor Nanomaterials
Ferry Prins a
a Condensed Matter Physics Center (IFIMAC), Autonomous University of Madrid, Madrid, Spain
Materials for Sustainable Development Conference (MATSUS)
Proceedings of Materials for Sustainable Development Conference (MAT-SUS) (NFM22)
#NANOMAT - Advances on the Understanding and Synthesis of Nanomaterials for Photocatalysis and Optoelectronics
Barcelona, Spain, 2022 October 24th - 28th
Organizers: Ludmilla Steier and Daniel Congreve
Contributed talk, Ferry Prins, presentation 050
DOI: https://doi.org/10.29363/nanoge.nfm.2022.050
Publication date: 11th July 2022

The efficient transport of energy carriers plays an essential role in all of optoelectronic technologies. Energy transport characteristics have traditionally been derived from time-resolved spectroscopy or device-level techniques. While such techniques work well for the characterization of the spatially homogeneous lattices of crystalline semiconductors, they fail to capture the spatially varying complexity of nanostructured semiconductors. To tackle this issue, a range of time-resolved microscopy techniques have emerged, capable of directly visualising energy transport with sub-nanosecond and few-nanometer resolution.[1]

In this talk, I will give an overview of the most recent work of my group on improving our understanding of the various forms of anomalous transport phenomena that can be encountered in semiconductors nanomaterials.[2-5] In the first part of the talk, I will discuss the extensive models that we have developed using Brownian dynamics in which we make use of the detailed spatiotemporal information obtained from time-resolved microscopy. In a second part of the talk, I will present recent work in which we use Mn-doped layered perovskites as highly versatile test-bed to understand the role of carrier trapping in energy transport, with Mn sites acting as deep traps for diffusing excitons. By controlling the doping level, we can controllably modify the trap landscape and relate these changes to the observed spatiotemporal dynamics.

Our measurements and the resulting models provide valuable information for the development of optimized nanostructured semiconductors for optoelectronics, including light harvesting and light emitting devices.

 

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