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19942026
most citedGiant Intrinsic Carrier Mobilities in Graphene and Its Bilayer

3.5k citations

Showing 2019Show all

44 papers · 1 filter

eess.SP2019★ 22 cited

Estimating Dispersion Curves from Frequency Response Functions via Vector-Fitting

Mohammad I. Albakri, Vijaya V. N. Sriram Malladi, Serkan Gugercin +1

Driven by the need for describing and understanding wave propagation in structural materials and components, several analytical, numerical, and experimental techniques have been de…

math.CO2019

Binary compositions and semi-Pell compositions

William J. Keith, Augustine O. Munagi

In analogy with the semi-Fibonacci partitions studied recently by Andrews, we define semi-Pell compositions and semi--Pell compositions. We find that these are in bijection with…

cond-mat.mtrl-sci2019

Quasi-Spin Ising Model and Monte Carlo Simulation of Ferroelastic Phase Transition: 3D Diffuse Scattering and Displacement Short-Range Ordering in Pre-Martensitic State

Xiaoxu Guo, Yongmei M. Jin, Yang Ren +1

A quasi-spin Ising model of ferroelastic phase transition is developed and employed to perform atomic-scale Monte Carlo simulation of thermoelastic martensitic transformation. The…

astro-ph.GA2019★ 5 cited

Large-scale patterns of galaxy spin rotation show cosmological-scale parity violation and multipoles

Lior Shamir

The distribution of spin direction of ~6.4*10^4 spiral galaxies with spectra was examined. The analysis shows a statistically significant cosmological-scale asymmetry between galax…

astro-ph.HE2019★ 31 cited

Search for Gamma-ray Spectral Lines from Dark Matter Annihilation in Dwarf Galaxies with the High-Altitude Water Cherenkov Observatory

The HAWC Collaboration

Local dwarf spheroidal galaxies (dSphs) are nearby dark-matter dominated systems, making them excellent targets for searching for gamma rays from particle dark matter interactions.…

cs.LG2019★ 6 cited

GRASPEL: Graph Spectral Learning at Scale

Yongyu Wang, Zhiqiang Zhao, Zhuo Feng

Learning meaningful graphs from data plays important roles in many data mining and machine learning tasks, such as data representation and analysis, dimension reduction, data clust…