Info
An accomplished product management/marketing professional with over 7 years of experience…
Aktivitäten
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Congratulations to Maurizio Di Paolo Emilio on the newly released GaN Technology book and the long list of contributors! This book is a must-read…
Congratulations to Maurizio Di Paolo Emilio on the newly released GaN Technology book and the long list of contributors! This book is a must-read…
Beliebt bei Nare Gabrielyan PhD
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🌟 Explore GaN's benefits in motor drive! Do you know GaN can be an interesting solution to motor drive and inverter designs? By adopting GaN…
🌟 Explore GaN's benefits in motor drive! Do you know GaN can be an interesting solution to motor drive and inverter designs? By adopting GaN…
Beliebt bei Nare Gabrielyan PhD
Berufserfahrung
Ausbildung
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De Montfort University
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Activities and Societies: Postgraduate Research Student Association Postgraduate Student Representative
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Bescheinigungen und Zertifikate
Veröffentlichungen
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Zinc oxide nanowires for biosensor applications
Proc. SPIE
The current paper is devoted to the fabrication and optimisation of ZnO nanowire (ZnONW) arrays for electrochemical glucose biosensor fabrication. The ZnO nanowires were fabricated by a two-step combination method. This includes radio-frequency (RF) sputtering of the ZnO seeding layer and hydrothermal growth of the nanowires in a solution containing zinc nitrate hexahydrate. Glucose oxidase has been immobilised on the nanowires, for use as the biorecognition molecule. The sensing…
The current paper is devoted to the fabrication and optimisation of ZnO nanowire (ZnONW) arrays for electrochemical glucose biosensor fabrication. The ZnO nanowires were fabricated by a two-step combination method. This includes radio-frequency (RF) sputtering of the ZnO seeding layer and hydrothermal growth of the nanowires in a solution containing zinc nitrate hexahydrate. Glucose oxidase has been immobilised on the nanowires, for use as the biorecognition molecule. The sensing characteristics of the biosensors based on this fabrication methodology were investigated in phosphate buffer solution using electrochemical techniques.
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Optimising the low temperature growth of uniform ZnO nanowires
Materials Research Society Symposium Proceedings
Zinc oxide (ZnO) nanowires have been widely investigated and various different methods of their synthesis have been suggested. This work is devoted to the optimisation of the growth conditions for uniform and evenly distributed ZnO nanowire arrays. The nanowire growth process includes two steps: 1. Radio-frequency (RF) magnetron sputtering of a ZnO nucleation layer onto a substrate; 2. A hydrothermal growth step of ZnO nanowires using the aforementioned sputtered layer as a template. The…
Zinc oxide (ZnO) nanowires have been widely investigated and various different methods of their synthesis have been suggested. This work is devoted to the optimisation of the growth conditions for uniform and evenly distributed ZnO nanowire arrays. The nanowire growth process includes two steps: 1. Radio-frequency (RF) magnetron sputtering of a ZnO nucleation layer onto a substrate; 2. A hydrothermal growth step of ZnO nanowires using the aforementioned sputtered layer as a template. The optimisation process was divided into two sets of experiments: (i) the deposition of different thicknesses of the ZnO nucleation layer and the subsequent nanowire growth step (using the same conditions) for each thickness. The results revealed a strong dependence of the nanowire size upon the seed layer thickness and structural properties; (ii) the second set of experiments were based on growth solution temperature variation for the nucleation layers of the same thicknesses. This also showed nanowire size and distribution change with solution temperature variation. © 2010 Materials Research Society.
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Bayesian Density Estimation via Multiple Sequential Inversions of 2-D Images with Application in Electron Microscopy
Accepted for publication in Journal of the American Society for Quality and the American Statistical Association
We present a new Bayesian methodology to learn the unknown material density of a given sample by inverting its two-dimensional images that are taken with a Scanning Electron Microscope. An image results from a sequence of projections of the convolution of the density function with the unknown microscopy correction function that we also learn from the data. We invoke a novel design of experiment, involving imaging at multiple values of the parameter that controls the sub-surface depth from which…
We present a new Bayesian methodology to learn the unknown material density of a given sample by inverting its two-dimensional images that are taken with a Scanning Electron Microscope. An image results from a sequence of projections of the convolution of the density function with the unknown microscopy correction function that we also learn from the data. We invoke a novel design of experiment, involving imaging at multiple values of the parameter that controls the sub-surface depth from which information about the density structure is carried, to result in the image. Real-life material density functions are characterised by high density contrasts and typically are highly discontinuous, implying that they exhibit correlation structures that do not vary smoothly. In the absence of training data, modelling such correlation structures of real material density functions is not possible. So we discretise the material sample and treat values of the density function at chosen locations inside it as independent and distribution-free parameters. Resolution of the available image dictates the discretisation length of the model; three models pertaining to distinct resolution classes are developed. We develop priors on the material density, such that these priors adapt to the sparsity inherent in the density function. The likelihood is defined in terms of the distance between the convolution of the unknown functions and the image data. The posterior probability density of the unknowns given the data is expressed using the developed priors on the density and priors on the microscopy correction function as elicitated from the Microscopy literature. We achieve posterior samples using an adaptive Metropolis-within-Gibbs inference scheme. The method is applied to learn the material density of a 3-D sample of a real nano-structure and of simulated alloy samples.
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Optimisation of uniform zinc oxide nanowire growth conditions
Materials Science and Engineering B
submitted
Kurse
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HTML, CSS and JavaScript
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Projekte
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Postgraduate & Research Student Association
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During my PhD I was actively involved as a member of the Postgraduate & Research Student Association (PRSA) and was appointed to the role of Event organiser. The PRSA operated as a society to bring together postgraduate students within De Montfort University in order to promote a sense of community among these students. This included a variety of events, ranging from professional and academic knowledge sharing events, to informal social events such as visits to national landmarks and Christmas…
During my PhD I was actively involved as a member of the Postgraduate & Research Student Association (PRSA) and was appointed to the role of Event organiser. The PRSA operated as a society to bring together postgraduate students within De Montfort University in order to promote a sense of community among these students. This included a variety of events, ranging from professional and academic knowledge sharing events, to informal social events such as visits to national landmarks and Christmas dinners.
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Sprachen
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English
Muttersprache oder zweisprachig
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Russian
Muttersprache oder zweisprachig
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Armenian
Muttersprache oder zweisprachig
Weitere Aktivitäten von Nare Gabrielyan PhD
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🌟 I'm officially on Maternity Leave 🌟 I'm looking forward to my new adventure, navigating the world with newborn twins. I’m grateful for the…
🌟 I'm officially on Maternity Leave 🌟 I'm looking forward to my new adventure, navigating the world with newborn twins. I’m grateful for the…
Beliebt bei Nare Gabrielyan PhD
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CGD at #TechTaipei event! 🌟 During the event, our APAC team showcased reference designs using ICeGaN® power ICs for super high power density…
CGD at #TechTaipei event! 🌟 During the event, our APAC team showcased reference designs using ICeGaN® power ICs for super high power density…
Beliebt bei Nare Gabrielyan PhD
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Come and join CGD at EE Times Taiwan Wide Bandgap Technology & Applications Seminar (高效電源暨寬能隙技術應用論壇) event in Taipei on August 1st! At this event…
Come and join CGD at EE Times Taiwan Wide Bandgap Technology & Applications Seminar (高效電源暨寬能隙技術應用論壇) event in Taipei on August 1st! At this event…
Beliebt bei Nare Gabrielyan PhD
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Simple-to-drive GaN shrinks BOM in power designs – Cambridge GaN Devices Ltd tells all! At PCIM 2024, ipXchange caught up with Cambridge GaN…
Simple-to-drive GaN shrinks BOM in power designs – Cambridge GaN Devices Ltd tells all! At PCIM 2024, ipXchange caught up with Cambridge GaN…
Beliebt bei Nare Gabrielyan PhD
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The power sector of the semiconductor industry is experiencing major growth, driven by global demands for increased energy efficiency. This has…
The power sector of the semiconductor industry is experiencing major growth, driven by global demands for increased energy efficiency. This has…
Beliebt bei Nare Gabrielyan PhD
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Thank you Maurizio Di Paolo Emilio for a short but interesting interview at PCIM! CEO Giorgia Longobardi discusses why GaN is the answer to next…
Thank you Maurizio Di Paolo Emilio for a short but interesting interview at PCIM! CEO Giorgia Longobardi discusses why GaN is the answer to next…
Beliebt bei Nare Gabrielyan PhD
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🌟 Here comes our first ESG report! As a GaN semiconductor company, we never stop our ESG efforts in supporting people's well-being, contributing…
🌟 Here comes our first ESG report! As a GaN semiconductor company, we never stop our ESG efforts in supporting people's well-being, contributing…
Beliebt bei Nare Gabrielyan PhD
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Insightful panel discussion on GaN at I.S.E.S. EU Power 2024 Day 2! Moderated by Tamara Baksht of VisIC Technologies Ltd., the panel featured…
Insightful panel discussion on GaN at I.S.E.S. EU Power 2024 Day 2! Moderated by Tamara Baksht of VisIC Technologies Ltd., the panel featured…
Beliebt bei Nare Gabrielyan PhD
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Last week our Senior Power Device Engineer Kalparupa Mukherjee gave a fantastic talk at GaN Marathon, discussing superior performance of No Load and…
Last week our Senior Power Device Engineer Kalparupa Mukherjee gave a fantastic talk at GaN Marathon, discussing superior performance of No Load and…
Beliebt bei Nare Gabrielyan PhD