G
Graham Town
Researcher at Macquarie University
Publications - 224
Citations - 5141
Graham Town is an academic researcher from Macquarie University. The author has contributed to research in topics: Optical fiber & Fiber laser. The author has an hindex of 32, co-authored 221 publications receiving 4346 citations. Previous affiliations of Graham Town include University of Sydney.
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Journal ArticleDOI
Interrelation between various branches of stable solitons in dissipative systems - conjecture for stability criterion
TL;DR: In this paper, it was shown that the complex cubic-quintic Ginzburg-Landau equation has a multiplicity of soliton solutions for the same set of equation parameters.
Proceedings ArticleDOI
Tapered holey fibers for spot size and numerical aperture conversion
Graham Town,Joseph T. Lizier +1 more
TL;DR: In this article, the authors derived general guidelines for adiabatic taper design, and calculated the mode-field distributions at both ends of an optimally shaped taper, and used them to design a waveguide with low loss.
Journal ArticleDOI
Distribution of solar pyrolysis products and product gas composition produced from agricultural residues and animal wastes at different operating parameters
Haftom Weldekidan,Vladimir Strezov,Rui Li,Tao Kan,Graham Town,Ravinder Kumar,Jing He,Gilles Flamant +7 more
TL;DR: In this paper, separate samples of chicken-litter waste and rice husk of different particle sizes (280 and 500μm) were pyrolysed with a concentrated solar radiation to produce pyrolysis gases of high calorific value.
Journal ArticleDOI
Solar assisted catalytic pyrolysis of chicken-litter waste with in-situ and ex-situ loading of CaO and char
TL;DR: In this article, gas and liquid fuels obtained from solar assisted pyrolysis of chicken-litter waste were upgraded using CaO and char catalysts at different catalyst to biomass ratios.
Proceedings ArticleDOI
Improved peak shaving in grid-connected domestic power systems combining photovoltaic generation, battery storage, and V2G-capable electric vehicle
TL;DR: In this paper, a V2G-capable electric vehicle and photovoltaic generation is combined with domestic battery storage in households to reduce the peak load on the electricity distribution grid under realistic operating conditions.