HgTe Colloidal Quantum Dots
Philippe Guyot-Sionnest a
a The University of Chicago
Proceedings of Internet NanoGe Conference on Nanocrystals (iNCNC)
Online, Spain, 2021 June 28th - July 2nd
Organizers: Maksym Kovalenko, Maria Ibáñez, Peter Reiss and Quinten Akkerman
Invited Speaker, Philippe Guyot-Sionnest, presentation 004
DOI: https://doi.org/10.29363/nanoge.incnc.2021.004
Publication date: 8th June 2021

HgTe is a special material, with a zero gap, an inverted band structure, low electron mass, singly degenerate conduction band, strong spin orbit coupling, and good stability in air.   Colloidal quantum dots can be made by simple protocols and size tuning provides full coverage for photodetection between 1 and 12 microns. These quantum dots are explored by a few groups and are still the only ink-based material to achieve background-limited thermal photon imaging.[1] With further refinement, HgTe colloidal quantum dots are poised to disrupt the very high cost/gram of infrared imaging, with exciting and new fabrication processes. The material also offers many topics of basic interest. (i) A joint effort with Dmitri Talapin explored films of 10% size distribution HgTe colloidal quantum dots and achieved bandlike mobility within the 1Se miniband.[2] The same but improved system may then be the most promising to search for delocalized transport in colloidal quantum dot solids. (ii) HgTe has a strong Te spin-orbit coupling and this splits the 1Se-1Pe intraband multiplet. The theory by Delerue and Allan introduces the new concept of the interplay between spin-orbit splitting and quantum dot shape and this can be explored with experiments.[3] (iii) Strong luminescence is the key to most colloidal quantum dot applications including detectors.  Bright visible quantum dots universally use the core/shell strategy long ago demonstrated in my group by Margaret Hines.[4] With mid-infrared quantum dots, theory predicts that multiphonon relaxation limits quantum yields to 1/1000 or 1/10000,[5]  and experiments are needed to test these predictions.

 

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