289 research outputs found
Transfer Characteristics in Graphene Field-Effect Transistors with Co Contacts
Graphene field-effect transistors with Co contacts as source and drain
electrodes show anomalous distorted transfer characteristics. The anomaly
appears only in short-channel devices (shorter than approximately 3
micrometers) and originates from a contact-induced effect. Band alteration of a
graphene channel by the contacts is discussed as a possible mechanism for the
anomalous characteristics observed.Comment: 10 pages, 3 figures, Appl. Phys. Let
Grassmann Manifold Flow
Recently, studies on machine learning have focused on methods that use
symmetry implicit in a specific manifold as an inductive bias. In particular,
approaches using Grassmann manifolds have been found to exhibit effective
performance in fields such as point cloud and image set analysis. However,
there is a lack of research on the construction of general learning models to
learn distributions on the Grassmann manifold. In this paper, we lay the
theoretical foundations for learning distributions on the Grassmann manifold
via continuous normalizing flows. Experimental results show that the proposed
method can generate high-quality samples by capturing the data structure.
Further, the proposed method significantly outperformed state-of-the-art
methods in terms of log-likelihood or evidence lower bound. The results
obtained are expected to usher in further research in this field of study.Comment: 32 page
Logic Ciucuits Using Solution-processed Single-walled Carbon Nanotue Transistors
This letter reports on the realization of logic circuits employing
solution-processed networks of single-walled carbon nanotubes. We constructed
basic logic gates (inverter, NAND and NOR) with n- and p-type field-effect
transistors fabricated by solution-based chemical doping. Complementary
metal-oxide-semiconductor inverters exhibited voltage gains of up to 20, which
illustrates the great potential of carbon nanotube networks for printable
flexible electronics.Comment: 12 PAGES, 3 FIGURE
Finding the chiral gravitational wave background of an axion-SU(2) inflationary model using CMB observations and laser interferometers
A detection of B-mode polarization of the Cosmic Microwave Background (CMB)
anisotropies would confirm the presence of a primordial gravitational wave
background (GWB). In the inflation paradigm this would be an unprecedented
probe of the energy scale of inflation as it is directly proportional to the
power spectrum of the GWB. However, similar tensor perturbations can be
produced by the matter fields present during inflation, breaking this simple
relationship. It is therefore important to be able to distinguish between
different generation mechanisms of the GWB. In this paper, we analyse the
detectability of a new axion-SU(2) gauge field model using its chiral,
scale-dependent tensor spectrum. We forecast the detectability of the resulting
CMB TB and EB cross-correlations by the LiteBIRD satellite, considering the
effects of residual foregrounds, gravitational lensing, and for the first time
assess the ability of such an experiment to jointly detect primordial TB and EB
spectra and self-calibrate its polarimeter. We find that LiteBIRD will be able
to detect the chiral signal for with denoting the
tensor-to-scalar ratio at the peak scale, and that the maximum signal-to-noise
for is . We go on to consider an advanced stage of a
LISA-like mission, and find that such experiments would complement CMB
observations by providing sensitivity to GWB chirality on scales inaccessible
to the CMB. We conclude that in order to use the CMB to distinguish this model
from a conventional vacuum fluctuation model two-point statistics provide some
power, but to achieve high statistical significance we would require higher
order statistics which take advantage of the model's non-Gaussianity. On the
other hand, in the case of a spectrum peaked at very small scales, inaccessible
to the CMB, a highly significant detection could be made using space-based
laser interferometers.Comment: 24 pages, 12 figures, accepted by PhysRev
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