Work

Data-driven prediction of HSQ polymer structure and silicon nanocrystal photoluminescence

Year: 2025

Type: article

Abstract: network content), and photoluminescence quantum yield of alkyl-passivated silicon nanocrystals. We find that synthesis approaches to silsesquioxane polymers that use higher proportions of methanol and water in a trichlorosilane : water : methanol mixture result in larger amounts of network-type polymer structures, and that the network-type polymeric precursors yield silicon nanocrystals with higher photoluminescence quantum yields. While polymer structure strongly correlates with precursor composition, it is only weakly coorelated to the photoluminescence quantum yield of the resultingsilicon nanocrystals. These finding suggest factors other than precursor structure play significant roles in the photoluminescence of silicon nanocrystals.

Source: Dalton Transactions

DOI: 10.1039/d5dt01479d

Authors: Maharram Jabrayilov, Jeremy B. Essner, Abhijit Bera, Vinny Paris, Matthew G. Panthani

Institutions: Iowa State University, Grinnell College

Language: English

Topic: Silicon Nanostructures and Photoluminescence

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: hybrid

Funders: National Science Foundation, Division of Materials Research, Division of Chemistry, Air Force Office of Scientific Research

Awards: Group IV Semiconductors Derived From Zintl Phases, G3867535873, Upgrade and Cyber-Enhancement of X-Ray CCD Diffractometer, G8773921317