Low-Variance Monte Carlo Simulation of Thermal Transport in Graphene

ue to its unique thermal properties, graphene has generated considerable interest in the context of thermal management applications. In order to correctly treat heat transfer in this material, while still reaching device-level length and time scales, a kinetic description, such as the Boltzmann tran...

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Bibliographic Details
Main Authors: Landon, Colin Donald (Contributor), Hadjiconstantinou, Nicolas (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Mechanical Engineering (Contributor)
Format: Article
Language:English
Published: American Society of Mechanical Engineers (ASME), 2017-05-02T17:16:13Z.
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Online Access:Get fulltext
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100 1 0 |a Landon, Colin Donald  |e author 
100 1 0 |a Massachusetts Institute of Technology. Department of Mechanical Engineering  |e contributor 
100 1 0 |a Landon, Colin Donald  |e contributor 
100 1 0 |a Hadjiconstantinou, Nicolas  |e contributor 
700 1 0 |a Hadjiconstantinou, Nicolas  |e author 
245 0 0 |a Low-Variance Monte Carlo Simulation of Thermal Transport in Graphene 
260 |b American Society of Mechanical Engineers (ASME),   |c 2017-05-02T17:16:13Z. 
856 |z Get fulltext  |u http://hdl.handle.net/1721.1/108591 
520 |a ue to its unique thermal properties, graphene has generated considerable interest in the context of thermal management applications. In order to correctly treat heat transfer in this material, while still reaching device-level length and time scales, a kinetic description, such as the Boltzmann transport equation, is typically required. We present a Monte Carlo method for obtaining numerical solutions of this description that dramatically outperforms traditional Monte Carlo approaches by simulating only the deviation from equilibrium. We validate the simulation method using an analytical solution of the Boltzmann equation for long graphene nanoribbons; we also use this result to characterize the error associated with previous approximate solutions of this problem. 
520 |a National Science Foundation (U.S.). Graduate Research Fellowship Program 
520 |a American Society for Engineering Education. National Defense Science and Engineering Graduate Fellowship 
520 |a Singapore-MIT Alliance 
546 |a en_US 
655 7 |a Article 
773 |t Proceedings of the ASME 2012 International Mechanical Engineering Congress & Exposition IMECE2012