Welcome to the new version of CaltechAUTHORS. Login is currently restricted to library staff. If you notice any issues, please email coda@library.caltech.edu
Published October 22, 2000 | Published
Journal Article Open

Thermal conductivity of diamond and related materials from molecular dynamics simulations

Abstract

Based on the Green–Kubo relation from linear response theory, we calculated the thermal current autocorrelation functions from classical molecular dynamics (MD) simulations. We examined the role of quantum corrections to the classical thermal conduction and concluded that these effects are small for fairly harmonic systems such as diamond. We then used the classical MD to extract thermal conductivities for bulk crystalline systems. We find that (at 300 K) 12C isotopically pure perfect diamond has a thermal conductivity 45% higher than natural (1.1% 13C) diamond. This agrees well with experiment, which shows a 40%–50% increase. We find that vacancies dramatically decrease the thermal conductivity, and that it can be described by a reciprocal relation with a scaling as nv-alpha, with alpha= 0.69±0.11 in agreement with phenomenological theory (alpha= 1/2 to 3/4). Such calculations of thermal conductivity may become important for describing nanoscale devices. As a first step in studying such systems, we examined the mass effects on the thermal conductivity of compound systems, finding that the layered system has a lower conductivity than the uniform system.

Additional Information

© 2000 American Institute of Physics. (Received 25 January 2000; accepted 25 July 2000) This research was initiated with funds from a grant from NASA (Computational Nanotechnology) and continued with funds from a grant from DOE-ASCI-ASAP. The facilities of the MSC are also supported by grants from BP Amoco, NSF (CHE 95-12279), ARO-MURI, ARO-DURIP, ARO-ASSERT, Beckman Institute, Seiko-Epson, Exxon, Avery-Dennison Corp., Chevron Corp., Dow, 3M, and Asahi Chemical.

Attached Files

Published - CHEjcp00.pdf

Files

CHEjcp00.pdf
Files (347.8 kB)
Name Size Download all
md5:64e989520a3c9967598707e2f8dbe156
347.8 kB Preview Download

Additional details

Created:
August 21, 2023
Modified:
October 13, 2023