S
Simon S.M. Chan
Researcher at University College London
Publications - 21
Citations - 514
Simon S.M. Chan is an academic researcher from University College London. The author has contributed to research in topics: Diamond & Thin film. The author has an hindex of 12, co-authored 21 publications receiving 488 citations.
Papers
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Journal ArticleDOI
A High Performance UV Photodetector from Thin Film Diamond
TL;DR: In this article, a photodetector with high sensitivity to deep UV light, with an external quantum efficiency of greater than one, a dark current of less than 0.1nA and which is near "blind" to visible light.
Journal ArticleDOI
Carrier dynamics and recombination in silicon doped InAs/GaAs quantum dot solar cells with AlAs cap layers
Serhiy Kondratenko,Serhiy Kondratenko,O. Kozak,S. Rozouvan,Yu I. Mazur,Y. Maidaniuk,Jiang Wu,Jiang Wu,Song Wu,Zh. M. Wang,Simon S.M. Chan,Dongyoung Kim,Huiyun Liu,Gregory J. Salamo +13 more
TL;DR: In this paper, the effects of doping InAs quantum dots (QDs) with Si on charge carrier dynamics and recombination in the InAs/GaAs quantum dot solar cells with AlAs cap layers were investigated.
Patent
Techniques and architectures for managing disparate heterogeneous cloud-based resources
Ka Hou Chan,Karl Ryszard Skucha,Kit Pang Szeto,Emmanual Felipe Oliveira,Jean-Marc Soumet,Simon S.M. Chan,Matvey Tovbin +6 more
TL;DR: In this paper, the authors present techniques and architectures for data modeling and management in multiple different operating environments of a computing environment having at least one database stored on one or more physical memory devices communicatively coupled with one or multiple hardware processors.
Journal ArticleDOI
Thin film diamond metal-insulator field effect transistor for high temperature applications
TL;DR: In this article, a high temperature depletion-mode metal-insulator field effect transistor (MISFET) has been fabricated from thin film polycrystalline diamond with a p-type (boron doped) channel and an insulating diamond gate.
Proceedings ArticleDOI
Constrained by limited information and recommendation opportunities: An exploration and exploitation problem for recommender systems
TL;DR: A two-stage batch solution to approximately optimize the objective of maximizing the overall positive response rate in recommendation systems where unknown new items keep coming to the system at different time is proposed.