1,894 research outputs found
Non equilibrium optical properties in semiconductors from first--principles: a combined theoretical and experimental study of bulk silicon
The calculation of the equilibrium optical properties of bulk silicon by
using the Bethe--Salpeter equation solved in the Kohn--Sham basis represents a
cornerstone in the development of an ab--initio approach to the optical and
electronic properties of materials. Nevertheless calculations of the {\em
transient} optical spectrum using the same efficient and successful scheme are
scarce. We report, here, a joint theoretical and experimental study of the
transient reflectivity spectrum of bulk silicon. Femtosecond transient
reflectivity is compared to a parameter--free calculation based on the
non--equilibrium Bethe--Salpeter equation. By providing an accurate description
of the experimental results we disclose the different phenomena that determine
the transient optical response of a semiconductor. We give a parameter--free
interpretation of concepts like bleaching, photo--induced absorption and
stimulated emission, beyond the Fermi golden rule. We also introduce the
concept of optical gap renormalization, as a generalization of the known
mechanism of band gap renormalization. The present scheme successfully
describes the case of bulk silicon, showing its universality and accuracy.Comment: 14 pages, 13 figure
A Comparison of Scheduling Strategies for MIMO Broadcast Channel with Limited Feedback on OFDM Systems
We consider a multiuser downlink transmission from a base station with multiple antennas (MIMO) to mobile terminals (users) with a single antenna, using orthogonal frequency division multiplexing (OFDM). Channel conditions are reported by a feedback from users with limited rate, and the base station schedules transmissions and beamforms signals to users. We show that an important set of schedulers using a general utility function can be reduced to a scheduler maximizing the weighted sum rate of the system. For this case we then focus on scheduling methods with many users and OFDM subcarriers. Various scheduling strategies are compared in terms of achieved throughput and computational complexity and a good tradeoff is identified in greedy and semiorthogonal user selection algorithms. In the greedy selection algorithm, users are selected one by one as long as the throughput increases, while in the semiorthogonal approach users are selected based on the channel correlation. An extension of these approaches from a flat-fading channel to OFDM is considered and simplifications that may be useful for a large number of subcarriers are presented. Results are reported for a typical cellular transmission of the long-term evolution (LTE) of 3GPP
Resonant optical control of the structural distortions that drive ultrafast demagnetization in CrO
We study how the color and polarization of ultrashort pulses of visible light
can be used to control the demagnetization processes of the antiferromagnetic
insulator CrO. We utilize time-resolved second harmonic generation
(SHG) to probe how changes in the magnetic and structural state evolve in time.
We show that, varying the pump photon-energy to excite either localized
transitions within the Cr or charge transfer states, leads to markedly
different dynamics. Through a full polarization analysis of the SHG signal,
symmetry considerations and density functional theory calculations, we show
that, in the non-equilibrium state, SHG is sensitive to {\em both} lattice
displacements and changes to the magnetic order, which allows us to conclude
that different excited states couple to phonon modes of different symmetries.
Furthermore, the spin-scattering rate depends on the induced distortion,
enabling us to control the timescale for the demagnetization process. Our
results suggest that selective photoexcitation of antiferromagnetic insulators
allows fast and efficient manipulation of their magnetic state.Comment: 7 pages, 5 figure
The influence of coping strategies on quality of life in a community facing environmental and economic threats
Temperature dependence of the thermal boundary resistivity of glass-embedded metal nanoparticles
The temperature dependence of the thermal boundary resistivity is
investigated in glass-embedded Ag particles of radius 4.5 nm, in the
temperature range from 300 to 70 K, using all-optical time-resolved
nanocalorimetry. The present results provide a benchmark for theories aiming at
explaining the thermal boundary resistivity at the interface between metal
nanoparticles and their environment, a topic of great relevance when tailoring
thermal energy delivery from nanoparticles as for applications in nanomedicine
and thermal management at the nanoscaleComment: 4 pages, 3 figure
Equivalent modelling of reciprocating engines generators for microgrid frequency response analysis
Typical microgrid configurations include small-scale generation units that belong to the class of reciprocating engines (gas, diesel, heavy fuel oil). A simplified equivalent model for representing the frequency response of a given set of this kind of generators is proposed in this paper. The model parameters are tuned to obtain frequency responses compliant with the performance classes stated by the ISO 8528-5 standard. The result is a set of equivalent and simple models that can be used to simulate the frequency response within a given microgrid configuration that includes a set of reciprocating engines generators. Finally, a suitable validation of the proposed models is carried out using two highly detailed models of real diesel and heavy fuel oil generators
Territorial differences in the spread of COVID-19 in European regions and US counties
This article explores the territorial differences in the onset and spread of
COVID-19 and the excess mortality associated with the pandemic, across the
European NUTS3 regions and US counties. Both in Europe and in the US, the
pandemic arrived earlier and recorded higher Rt values in urban regions than in
intermediate and rural ones. A similar gap is also found in the data on excess
mortality. In the weeks during the first phase of the pandemic, urban regions
in EU countries experienced excess mortality of up to 68pp more than rural
ones. We show that, during the initial days of the pandemic, territorial
differences in Rt by the degree of urbanisation can be largely explained by the
level of internal, inbound and outbound mobility. The differences in the spread
of COVID-19 by rural-urban typology and the role of mobility are less clear
during the second wave. This could be linked to the fact that the infection is
widespread across territories, to changes in mobility patterns during the
summer period as well as to the different containment measures which reverse
the causality between mobility and Rt
Experimental and simulated displacement in cracked specimen of P91 steel under creep conditions
Optimal Management of a Smart Port with Shore-Connection and Hydrogen Supplying by Stochastic Model Predictive Control
The paper proposes an optimal management strategy for a Smart Port equipped
with renewable generation and composed by an electrified quay, operating
Cold-Ironing, and a Hydrogen-based quay, supplying Zero-Emission Ships. One
Battery Energy Storage System and one Hydrogen Energy Storage System are used
to manage renewable energy sources and to supply electric and hydrogen-fueled
ships. A model predictive control based algorithm is designed to define the
best economic strategy to be followed during operations. The control algorithm
takes into account the uncertainties of renewable energy generation using
stochastic optimization. The performance of the approach is tested on a
potential future Smart Port equipped with wind and photovoltaic generation
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