Projects per year
Abstract
Energy transfer from photo-excited excitons confined in silicon
nanoparticles to oxygen dimers adsorbed on the nanoparticle surfaces
is studied as a function of temperature and magnetic field. Quenching
features in the nanoparticle photoluminescence spectrum arise from
energy transfer to the oxygen dimers with and without the emission of
Si TO(D) phonons and, also, with and without the vibrational excitation
of the dimers. The dependence of the quenching on magnetic field
shows that energy transfer is fast when a dimer is present, allowing an
estimate of the proportion of the nanoparticles with adsorbed dimers.
nanoparticles to oxygen dimers adsorbed on the nanoparticle surfaces
is studied as a function of temperature and magnetic field. Quenching
features in the nanoparticle photoluminescence spectrum arise from
energy transfer to the oxygen dimers with and without the emission of
Si TO(D) phonons and, also, with and without the vibrational excitation
of the dimers. The dependence of the quenching on magnetic field
shows that energy transfer is fast when a dimer is present, allowing an
estimate of the proportion of the nanoparticles with adsorbed dimers.
Original language | English |
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Pages (from-to) | 690-693 |
Journal | Physical Chemistry Chemical Physics |
Volume | 18 |
Issue number | 2 |
Early online date | 1 Dec 2015 |
DOIs | |
Publication status | Published - 14 Jan 2016 |
Keywords
- porous silicon
- oxygen
- photoluminescence
- dimol
- dimer
- energy transfer
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Dive into the research topics of 'Observation of oxygen dimers via energy transfer from silicon nanoparticles'. Together they form a unique fingerprint.Projects
- 1 Finished
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Spin-Dependent Phenomena Mediated by Silicon Nanocrystal Assemblies
Wolverson, D. (PI) & Snow, P. (CoI)
Engineering and Physical Sciences Research Council
3/01/12 → 2/04/15
Project: Research council
Datasets
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Observation of oxygen dimers via energy transfer from silicon nanoparticles
Wolverson, D. (Creator), Aliev, G. (Project Member) & Amonkosolpan, J. (Project Member), University of Bath, 15 Jul 2015
DOI: 10.15125/BATH-00119
Dataset