D
David Broido
Researcher at Boston College
Publications - 170
Citations - 16734
David Broido is an academic researcher from Boston College. The author has contributed to research in topics: Phonon & Thermal conductivity. The author has an hindex of 55, co-authored 161 publications receiving 14269 citations. Previous affiliations of David Broido include University of California & United States Naval Research Laboratory.
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Phonon transmission through defects in carbon nanotubes from first principles
TL;DR: In this paper, the authors present the Physical Review B website: http://dx.doi.org/10.1103/PhysRevB.77.033418======
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Non-monotonic pressure dependence of the thermal conductivity of boron arsenide.
TL;DR: The authors show that a full description of the unusual thermal behaviour in boron arsenide requires considering often-neglected four-phonon interactions, and reveal pressure as a knob to tune the interplay between the competing phonon scattering mechanisms in BAs and similar compounds.
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Phonon-isotope scattering and thermal conductivity in materials with a large isotope effect: A first-principles study
TL;DR: In this article, the interplay between phononisotope and phonon-phonon scattering in determining lattice thermal conductivities in semiconductors and insulators is examined using an ab initio Boltzmann transport equation approach.
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Study of the Thermoelectric Properties of Lead Selenide Doped with Boron, Gallium, Indium, or Thallium
Qian Zhang,Feng Cao,Kevin Lukas,Weishu Liu,Keivan Esfarjani,Cyril Opeil,David Broido,David S. Parker,David J. Singh,Gang Chen,Zhifeng Ren +10 more
TL;DR: With Tl doping, modification of the band structure around the Fermi level helped to increase the Seebeck coefficient, and the lattice thermal conductivity decreased, probably as a result of effective phonon scattering by both the heavy Tl(3+) ions and the increased grain boundary density after ball milling.
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Cluster scattering effects on phonon conduction in graphene
TL;DR: In this article, the phonon-scattering cross section associated with isotopic clusters is evaluated from first principles and used to estimate the reduction in thermal conductance of wide graphene samples, and a strong sensitivity of the thermal conductivity toward clustering is predicted for micrometer-sized samples at low temperatures.