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20102024
most citedTransport properties of monolayer MoS grown by chemical vapour deposition

487 citations

Showing 2019Show all

29 papers · 1 filter

cond-mat.mes-hall2019★ 20 cited

Evidence of Rotational Fröhlich Coupling in Polaronic Trions

Maxim Trushin, Soumya Sarkar, Sinu Mathew +9

Electrons commonly couple through Fröhlich interactions with longitudinal optical phonons to form polarons. However, trions possess a finite angular momentum and should therefore c…

quant-ph2019★ 12 cited

Finding good quantum codes using the Cartan form

Akshaya Jayashankar, Anjala M Babu, Hui Khoon Ng +1

We present a simple and fast numerical procedure to search for good quantum codes for storing logical qubits in the presence of independent per-qubit noise. In a key departure from…

cs.SI2019★ 3 cited

Beyond Fortune 500: Women in a Global Network of Directors

Anna Evtushenko, Michael T. Gastner

In many countries, the representation of women on corporate boards of directors has become a topic of intense political debate. Social networking plays a crucial role in the appoin…

cond-mat.mes-hall2019★ 13 cited

Enhanced hydrodynamic transport in near magic angle twisted bilayer graphene

Mohammad Zarenia, Indra Yudishtira, Shaffique Adam +1

Using the semiclassical quantum Boltzmann theory and employing the Dirac model with twist angle-dependent Fermi velocity we obtain results for the electrical resistivity, the elect…

cond-mat.mes-hall2019★ 48 cited

Superconductivity from collective excitations in magic angle twisted bilayer graphene

Gargee Sharma, Maxim Trushin, Oleg P. Sushkov +2

A purely electronic mechanism is proposed for the unconventional superconductivity recently observed in twisted bilayer graphene (tBG) close to the magic angle. Using the Migdal-El…

stat.CO2019★ 2 cited

Approximating posteriors with high-dimensional nuisance parameters via integrated rotated Gaussian approximation

Willem van den Boom, Galen Reeves, David B. Dunson

Posterior computation for high-dimensional data with many parameters can be challenging. This article focuses on a new method for approximating posterior distributions of a low- to…

physics.comp-ph2019★ 55 cited

Transfer learning for scalability of neural-network quantum states

Remmy Zen, Long My, Ryan Tan +5

Neural-network quantum states have shown great potential for the study of many-body quantum systems. In statistical machine learning, transfer learning designates protocols reusing…

stat.ME2019

Bayesian Inference for Latent Chain Graphs

Deng Lu, Maria De Iorio, Ajay Jasra +1

In this article we consider Bayesian inference for partially observed Andersson-Madigan-Perlman (AMP) Gaussian chain graph (CG) models. Such models are of particular interest in ap…

cond-mat.mes-hall2019★ 33 cited

Dissipation-enabled hydrodynamic conductivity in a tunable bandgap semiconductor

Cheng Tan, Derek Y. H. Ho, Lei Wang +10

Electronic transport in the regime where carrier-carrier collisions are the dominant scattering mechanism has taken on new relevance with the advent of ultraclean two-dimensional m…

cond-mat.mes-hall2019★ 6 cited

Many-impurity phonon Casimir effect in atomic chains

Aleksandr Rodin

Phonon Casimir effect is the long-range interaction between impurities in condensed matter systems, mediated by vacuum fluctuations of the phonon field. For pairs of impurities, th…

physics.soc-ph2019★ 8 cited

Voter model on networks partitioned into two cliques of arbitrary sizes

Michael T. Gastner, Kota Ishida

The voter model is an archetypal stochastic process that represents opinion dynamics. In each update, one agent is chosen uniformly at random. The selected agent then copies the cu…

astro-ph.GA2019★ 29 cited

Resolved Molecular Gas and Star Formation Properties of the Strongly Lensed z=2.26 Galaxy SDSS J0901+1814

Chelsea E. Sharon, Amitpal S. Tagore, Andrew J. Baker +8

We present ~1" resolution (~2 kpc in the source plane) observations of the CO(1-0), CO(3-2), Halpha, and [N II] lines in the strongly-lensed z=2.26 star-forming galaxy SDSS J0901+1…

astro-ph.GA2019★ 48 cited

CO Emission in Infrared-Selected Active Galactic Nuclei

Allison Kirkpatrick, Chelsea Sharon, Erica Keller +1

In order to better understand how active galactic nuclei (AGN) effect the interstellar media of their host galaxies, we perform a meta-analysis of the CO emission for a sample of $…

stat.CO2019

Monte Carlo Co-Ordinate Ascent Variational Inference

Lifeng Ye, Alexandros Beskos, Maria De Iorio +1

In Variational Inference (VI), coordinate-ascent and gradient-based approaches are two major types of algorithms for approximating difficult-to-compute probability densities. In re…

quant-ph2019★ 4 cited

User-specified random sampling of quantum channels and its applications

Jun Yan Sim, Jun Suzuki, Berthold-Georg Englert +1

Random samples of quantum channels have many applications in quantum information processing tasks. Due to the Choi--Jamiołkowski isomorphism, there is a well-known correspondence b…

quant-ph2019★ 12 cited

Quantum process tomography via optimal design of experiments

Yonatan Gazit, Hui Khoon Ng, Jun Suzuki

Quantum process tomography --- a primitive in many quantum information processing tasks --- can be cast within the framework of the theory of design of experiment (DoE), a branch o…

cond-mat.mes-hall2019★ 4 cited

Phase coherent transport in bilayer and trilayer MoS2

Leiqiang Chu, Indra Yudhistira, Hennrik Schmidt +3

Bilayer MoS2 is a centrosymmetric semiconductor with degenerate spin states in the six valleys at the corners of the Brillouin zone. It has been proposed that breaking of this inve…

math.CO2019★ 12 cited

Linear algebraic techniques for spanning tree enumeration

Steven Klee, Matthew T. Stamps

Kirchhoff's Matrix-Tree Theorem asserts that the number of spanning trees in a finite graph can be computed from the determinant of any of its reduced Laplacian matrices. In many c…

quant-ph2019★ 12 cited

Proper error bars for self-calibrating quantum tomography

Jun Yan Sim, Jiangwei Shang, Hui Khoon Ng +1

Self-calibrating quantum state tomography aims at reconstructing the unknown quantum state and certain properties of the measurement devices from the same data. Since the estimates…

cond-mat.mes-hall2019★ 13 cited

Absence of strong localization at low conductivity in the topological surface state of low disorder Sb2Te3

Ilan T. Rosen, Indra Yudhistira, Gargee Sharma +5

We present low-temperature transport measurements of a gate-tunable thin film topological insulator system that features high mobility and low carrier density. Upon gate tuning to…

math.CO2019★ 26 cited

Linear algebraic techniques for weighted spanning tree enumeration

Steven Klee, Matthew T. Stamps

The weighted spanning tree enumerator of a graph with weighted edges is the sum of the products of edge weights over all the spanning trees in . In the special case that all…

cond-mat.mes-hall2019★ 32 cited

Breakdown of the Wiedemann-Franz law in AB-stacked bilayer graphene

Mohammad Zarenia, Giovanni Vignale, Thomas Benjamin Smith +1

We present a simple theory of thermoelectric transport in bilayer graphene and report our results for the electrical resistivity, the thermal resistivity, the Seebeck coefficient,…

cond-mat.mes-hall2019★ 39 cited

Gauge phonon dominated resistivity in twisted bilayer graphene near magic angle

I. Yudhistira, N. Chakraborty, G. Sharma +5

Recent experiments on twisted bilayer graphene (tBG) close to magic angle show that a small relative rotation in a van der Waals heterostructure greatly alters its electronic prope…

stat.ME2019★ 12 cited

Using prior expansions for prior-data conflict checking

David J. Nott, Max Seah, Luai Al-Labadi +3

Any Bayesian analysis involves combining information represented through different model components, and when different sources of information are in conflict it is important to de…