187 research outputs found
Generating-function approach for bond percolations in hierarchical networks
We study bond percolations on hierarchical scale-free networks with the open
bond probability of the shortcuts and that of the ordinary bonds
. The system has a critical phase in which the percolating probability
takes an intermediate value . Using generating function approach, we
calculate the fractal exponent of the root clusters to show that
varies continuously with in the critical phase. We confirm
numerically that the distribution of cluster size in the critical
phase obeys a power law , where satisfies the
scaling relation . In addition the critical exponent
of the order parameter varies as , from
at to infinity at
.Comment: 8 pages, 8 figure
Significantly high polarization degree of the very low-albedo asteroid (152679) 1998 KU
We present a unique and significant polarimetric result regarding the
near-Earth asteroid (152679) 1998 KU , which has a very low
geometric albedo. From our observations, we find that the linear polarization
degrees of 1998 KU are 44.6 0.5\% in the R band
and 44.0 0.6\% in the V band at a solar phase angle of 81.0\degr. These
values are the highest of any known airless body in the solar system (i.e.,
high-polarization comets, asteroids, and planetary satellites) at similar phase
angles. This polarimetric observation is not only the first for primitive
asteroids at large phase angles, but also for low-albedo (< 0.1) airless
bodies.
Based on spectroscopic similarities and polarimetric measurements of
materials that have been sorted by size in previous studies, we conjecture that
1998 KU has a highly microporous regolith structure comprising
nano-sized carbon grains on the surface.Comment: 9 pages, 5 figures, and 3 tables, accepted for publication in A&
Numerical investigations of the multi-layer graphene as a thermal interface material and an elector-magnetic field shield layer for 3D power supply on chip applications
Integrated Power Conversion and Power Management (PwrSoC2021), October 24-27, 2021, Philadelphia, U.S.A
Imaging of isotope diffusion using atomic-scale vibrational spectroscopy
The spatial resolutions of even the most sensitive isotope analysis
techniques based on light or ion probes are limited to a few hundred
nanometres. Although vibration spectroscopy using electron probes has achieved
higher spatial resolution, the detection of isotopes at the atomic level has
been challenging so far. Here we show the unambiguous isotopic imaging of 12C
carbon atoms embedded in 13C graphene and the monitoring of their
self-diffusion via atomic level vibrational spectroscopy. We first grow a
domain of 12C carbon atoms in a preexisting crack of 13C graphene, which is
then annealed at 600C for several hours. Using scanning transmission electron
microscopy electron energy loss spectroscopy, we obtain an isotope map that
confirms the segregation of 12C atoms that diffused rapidly. The map also
indicates that the graphene layer becomes isotopically homogeneous over 100
nanometre regions after 2 hours. Our results demonstrate the high mobility of
carbon atoms during growth and annealing via selfdiffusion. This imaging
technique can provide a fundamental methodology for nanoisotope engineering and
monitoring, which will aid in the creation of isotope labels and tracing at the
nanoscale
Impact of the semiconductor on hexagonal-BN structure for power-supply on chip applications
This paper evaluates the semiconductor on hexagonal-BN (h-BN) structure for power-supply on chip applications based on numerical simulations. Hexagonal-BN is used as an insulator of semiconductor -on-insulator (SOI) structure. Hexagonal-BN based SOI structure with through-silicon-via(TSV) shows higher heat dissipation performance without degrading electrical characteristics compared with the conventional SOI structure.2018 International Conference on Solid State Devices and Materials(SSDM2018), September9-13, 2018, Hongo Campus, The University of Tokyo, Tokyo, Japa
SkewC : Identifying cells with skewed gene body coverage in single-cell RNA sequencing data
The analysis and interpretation of single-cell RNA sequencing (scRNA-seq) experiments are compromised by the presence of poor-quality cells. For meaningful analyses, such poor-quality cells should be excluded as they introduce noise in the data. We introduce SkewC, a quality-assessment tool, to identify skewed cells in scRNA-seq experiments. The tool's methodology is based on the assessment of gene coverage for each cell, and its skewness as a quality measure; the gene body coverage is a unique characteristic for each protocol, and different protocols yield highly different coverage profiles. This tool is designed to avoid misclustering or false clusters by identifying, isolating, and removing cells with skewed gene body coverage profiles. SkewC is capable of processing any type of scRNA-seq dataset, regardless of the protocol. We envision SkewC as a distinctive QC method to be incorporated into scRNA-seq QC processing to preclude the possibility of scRNA-seq data misinterpretation.Peer reviewe
- …