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G M Dunn

Researcher at University of Aberdeen

Publications -  47
Citations -  807

G M Dunn is an academic researcher from University of Aberdeen. The author has contributed to research in topics: Monte Carlo method & Diode. The author has an hindex of 14, co-authored 47 publications receiving 776 citations. Previous affiliations of G M Dunn include University of Sheffield & Loughborough University.

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Escherichia coli O157: burger bug or environmental pathogen?

TL;DR: The implementation of hygienic food processing post-1996 Central Scotland outbreak and the preference for 'well done' burgers may account for this food being a relatively low risk thus making the 'burger bug' term less appropriate in the UK.
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A Monte Carlo investigation of multiplication noise in thin p/sup +/-i-n/sup +/ GaAs avalanche photodiodes

TL;DR: In this article, a Monte Carlo (MC) model was used to estimate the excess noise factor in thin p/sup +/-i-n/sup +/ GaAs avalanche photodiodes (APD's).
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A Planar Gunn Diode Operating Above 100 GHz

TL;DR: In this paper, the experimental realization of a 108 GHz planar Gunn diode structure fabricated in GaAs/AlGaAs was presented, where the material used was grown by molecular beam epitaxy, and devices were made using electron beam lithography.
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Monte Carlo simulation of impact ionization and current multiplication in short GaAs diodes

Abstract: We have modelled carrier transport and impact ionization in bulk GaAs and GaAs diodes using two Monte Carlo models, one using analytical band structure, the other employing more realistic pseudopotential band structure. Despite the relative lack of sophistication of the analytical model and the poor representation of band structure at higher energies, the analytical model reproduced accurate drift velocities, mean energies and impact ionization rates in good agreement with experiment and the more sophisticated model. Both models accurately simulated the diodes, agreeing well with experimental results and the two models also agreed with each other with respect to the microscopic aspects of the carrier transport in these devices.
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Quantitative risk assessment of human infection from Escherichia coli O157 associated with recreational use of animal pasture.

TL;DR: Monte Carlo simulations demonstrated that risk mitigation strategies of removing cattle from the pasture 4 weeks prior to the human visit in addition to physical removal of faeces showed significant reductions in potential infection rates.