We present a deviational Monte Carlo method for solving the Boltzmann-Peierls equation with ab initio 3-phonon scattering, for temporally and spatially dependent thermal transport problems in arbitrary geometries. Phonon dispersion relations and transition rates for graphene are obtained from density functional theory calculations. The ab initio scattering operator is simulated by an energy-conserving stochastic algorithm embedded within a deviational, low-variance Monte Carlo formulation. The deviational formulation ensures that simulations are computationally feasible for arbitrarily small temperature differences, while the stochastic treatment of the scattering operator is both efficient and exhibits no timestep error. The proposed method, in which geometry and phonon-boundary scattering are explicitly treated, is extensively validated by comparison to analytical results, previous numerical solutions and experiments. It is subsequently used to generate solutions for heat transport in graphene ribbons of various geometries and evaluate the validity of some common approximations found in the literature. Our results show that modeling transport in long ribbons of finite width using the homogeneous Boltzmann equation and approximating phonon-boundary scattering using an additional homogeneous scattering rate introduces an error on the order of 10% at room temperature, with the maximum deviation reaching 30% in the middle of the transition regime. (C) 2014 AIP Publishing LLC.
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Univ Hong Kong, Dept Mech Engn, Hong Kong, Hong Kong, Peoples R ChinaUniv Hong Kong, Dept Mech Engn, Hong Kong, Hong Kong, Peoples R China
Wang, Xinyu
Wang, Man
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Wuhan Second Ship Design & Res Inst, Wuhan 430064, Hubei, Peoples R ChinaUniv Hong Kong, Dept Mech Engn, Hong Kong, Hong Kong, Peoples R China
Wang, Man
Hong, Yang
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Univ Nebraska Lincoln, Dept Chem, Lincoln, NE 68588 USAUniv Hong Kong, Dept Mech Engn, Hong Kong, Hong Kong, Peoples R China
Hong, Yang
Wang, Zongrong
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Zhejiang Univ, Sch Mat Sci & Engn, State Key Lab Silicon Mat, Hangzhou 310027, Zhejiang, Peoples R ChinaUniv Hong Kong, Dept Mech Engn, Hong Kong, Hong Kong, Peoples R China
Wang, Zongrong
Zhang, Jingchao
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Univ Nebraska Lincoln, Holland Comp Ctr, Lincoln, NE 68588 USAUniv Hong Kong, Dept Mech Engn, Hong Kong, Hong Kong, Peoples R China
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Boston Coll, Dept Phys, Chestnut Hill, MA 02467 USA
Christopher Newport Univ, Dept Phys Comp Sci & Engn, Newport News, VA 23606 USAUniv Texas Austin, Dept Mech Engn, Austin, TX 78712 USA
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Univ Pittsburgh, Dept Mech Engn & Mat Sci, Pittsburgh, PA 15261 USAUniv Pittsburgh, Dept Mech Engn & Mat Sci, Pittsburgh, PA 15261 USA
Li, Xun
Lee, Sangyeop
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Univ Pittsburgh, Dept Mech Engn & Mat Sci, Pittsburgh, PA 15261 USA
Univ Pittsburgh, Dept Phys & Astron, Pittsburgh, PA 15261 USAUniv Pittsburgh, Dept Mech Engn & Mat Sci, Pittsburgh, PA 15261 USA
机构:
Jiangsu Elect Power Co Res Inst, Nanjing 211103, Jiangsu, Peoples R ChinaJiangsu Elect Power Co Res Inst, Nanjing 211103, Jiangsu, Peoples R China
Liu, Jianjun
Liu, Yang
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Jiangsu Elect Power Co Res Inst, Nanjing 211103, Jiangsu, Peoples R ChinaJiangsu Elect Power Co Res Inst, Nanjing 211103, Jiangsu, Peoples R China
Liu, Yang
Jing, Yuhang
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Harbin Inst Technol, Dept Astronaut Sci & Mech, Harbin 150001, Heilongjiang, Peoples R China
Univ Illinois, Beckman Inst Adv Sci & Technol, Natl Ctr Supercomp Applicat, Urbana, IL 61801 USAJiangsu Elect Power Co Res Inst, Nanjing 211103, Jiangsu, Peoples R China
Jing, Yuhang
Gao, Yufei
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Shenyang Univ Technol, Sch Architecture & Civil Engn, Shenyang 110870, Liaoning, Peoples R ChinaJiangsu Elect Power Co Res Inst, Nanjing 211103, Jiangsu, Peoples R China
Gao, Yufei
Zhao, Junqing
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Harbin Inst Technol, Dept Astronaut Sci & Mech, Harbin 150001, Heilongjiang, Peoples R ChinaJiangsu Elect Power Co Res Inst, Nanjing 211103, Jiangsu, Peoples R China
Zhao, Junqing
Ouyang, Bin
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Univ Calif Berkeley, Dept Mat Sci & Engn, Berkeley, CA 94720 USAJiangsu Elect Power Co Res Inst, Nanjing 211103, Jiangsu, Peoples R China