Paul Cazeaux

Paul Cazeaux

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Paul Cazeaux

Department of Mathematics Virginia Tech 24060 Blacksburg VA

Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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15 April 2019 in Nature Materials
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Journal Article
Closed access
HYHyobin Yoo
Hyobin Yoo
RERebecca Engelke
Rebecca Engelke
SCStephen Carr
Stephen Carr
SFShiang Fang
Shiang Fang
KZKuan Zhang
Kuan Zhang
PKPhilip Kim
Philip Kim

17 February 2017 in Physical Review B
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Journal Article
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SCStephen Carr
Stephen Carr
DMDaniel Massatt
Daniel Massatt
SFShiang Fang
Shiang Fang
PCPaul Cazeaux
Paul Cazeaux
MLMitchell Luskin
Mitchell Luskin
EKEfthimios Kaxiras
Efthimios Kaxiras
The ability in experiments to control the relative twist angle between successive layers in two-dimensional (2D) materials offers an approach to manipulating their electronic properties; we refer to this approach as “twistronics.” A major challenge to theory is that, for arbitrary twist angles, the resulting structure involves incommensurate (aperiodic) 2D lattices. Here, we present a general method for the calculation of the electronic density of states of aperiodic 2D layered materials, using parameter-free Hamiltonians derived from ab initio density-functional theory. We use graphene, a semimetal, and MoS2, a representative of the transition-metal dichalcogenide family of 2D semiconductors, to illustrate the application of our method, which enables fast and efficient simulation of multilayered stacks in the presence of local disorder and external fields. We comment on the interesting features of their density of states as a function of twist angle and local configuration and on how these features can be experimentally observed.

5 December 2018 in Physical Review B
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SCStephen Carr
Stephen Carr
DMDaniel Massatt
Daniel Massatt
STSteven B. Torrisi
Steven B. Torrisi
PCPaul Cazeaux
Paul Cazeaux
MLMitchell Luskin
Mitchell Luskin
EKEfthimios Kaxiras
Efthimios Kaxiras
We introduce configuration space as a natural representation for calculating the mechanical relaxation patterns of incommensurate two-dimensional (2D) bilayers. The approach can be applied to a wide variety of 2D materials through the use of a continuum model in combination with a generalized stacking fault energy for interlayer interactions. We present computational results for small-angle twisted bilayer graphene and molybdenum disulfide (MoS2), a representative material of the transition-metal dichalcogenide family of 2D semiconductors. We calculate accurate relaxations for MoS2 even at small twist-angle values, enabled by the fact that our approach does not rely on empirical atomistic potentials for interlayer coupling. The results demonstrate the efficiency of the configuration space method by computing relaxations with minimal computational cost. We also outline a general explanation of domain formation in 2D bilayers with nearly aligned lattices, taking advantage of the relationship between real space and configuration space. The configuration space approach also enables calculation of relaxations in incommensurate multilayer systems.

1 June 2017 in Journal of Mathematical Physics
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ECEric Cancès
Eric Cancès
PCPaul Cazeaux
Paul Cazeaux
MLMitchell Luskin
Mitchell Luskin
We give an exact formulation for the transport coefficients of incommensurate two-dimensional atomic multilayer systems in the tight-binding approximation. This formulation is based upon the C* algebra framework introduced by Bellissard and collaborators [Coherent and Dissipative Transport in Aperiodic Solids, Lecture Notes in Physics (Springer, 2003), Vol. 597, pp. 413–486 and J. Math. Phys. 35(10), 5373–5451 (1994)] to study aperiodic solids (disordered crystals, quasicrystals, and amorphous materials), notably in the presence of magnetic fields (quantum Hall effect). We also present numerical approximations and test our methods on a one-dimensional incommensurate bilayer system.

9 August 2019 in Archive for Rational Mechanics and Analysis
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PCPaul Cazeaux
Paul Cazeaux
MLMitchell Luskin
Mitchell Luskin
DMDaniel Massatt
Daniel Massatt

27 January 2023 in SIAM Journal on Scientific Computing
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Journal Article
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HDHussam Al Daas
Hussam Al Daas
GBGrey Ballard
Grey Ballard
PCPaul Cazeaux
Paul Cazeaux
EHEric Hallman
Eric Hallman
AMAgnieszka Międlar
Agnieszka Międlar
ASArvind K. Saibaba
Arvind K. Saibaba
The tensor-train (TT) format is a highly compact low-rank representation for high-dimensional tensors. TT is particularly useful when representing approximations to the solutions of certa...