D. Gruber
University of Queensland
11 Papers
14 Citations
D. Gruber is an academic researcher from University of Queensland. The author has contributed to research in topics: Electron & Photoluminescence. The author has an hindex of 5, co-authored 11 publications. Previous affiliations of D. Gruber include Johannes Kepler University of Linz.
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Papers
Five-nanometer diamond with luminescent nitrogen-vacancy defect centers.
Bradley R. Smith,David W. Inglis,Bjornan Sandnes,James R. Rabeau,Andrei V. Zvyagin,D. Gruber,Christopher J. Noble,Robert Vogel,Eiji Osawa,Taras Plakhotnik +9 more
TL;DR: It was observed that the SNDs exhibited significant luminescence in the red spectral region before irradiation, and the absence of the zero-phonon lines at 637 and 575 nm indicated that the Luminescence did not originate from NV centers as compared with the NV spectrum.
173
Luminescence of nitrogen-vacancy centers in nanodiamonds at temperatures between 300 and 700 K: Perspectives on nanothermometry
Taras Plakhotnik,D. Gruber +1 more
TL;DR: It is shown that the intensity of photoluminescence of nitrogen-vacancy centers in nanodiamond decreases 4-fold (with a wide spread among nanocrystals) when the surrounding temperature rises from 300 to 670 K.
82
Investigation of the spin properties of electrons in zero-dimensional SiGe structures by electron paramagnetic resonance
Hans Malissa,Wolfgang Jantsch,Gang Chen,D. Gruber,H. Lichtenberger,Friedrich Schäffler,Zbysław Wilamowski,Alexei M. Tyryshkin,Stephen Aplin Lyon +8 more
TL;DR: In this paper, the g-factor and the spin coherence time of regular SiGe quantum dot arrays were investigated by photoluminescence and electron paramagnetic resonance both in continuous wave and pulsed mode.
8
Design and fabrication of a SiGe double quantum well structure for g-factor tuning
TL;DR: In this paper, a double quantum well device was proposed for g-factor tuning by moving a two-dimensional electron gas between layers with different g-factors by applying a gate voltage.
6
Counting of obscure events: A Bayesian approach
D. Gruber,Taras Plakhotnik +1 more
TL;DR: The method combines the measurement data with additional information about the system under investigation to improve the measurement accuracy with the help of probability theory and shows in simulations that the accuracy is always better than for a thresholding approach.
5