344 research outputs found
Giant spin-dependent photo-conductivity in GaAsN dilute nitride semiconductor
A theoretical and experimental study of the spin-dependent photoconductivity
in dilute Nitride GaAsN is presented. The non linear transport model we develop
here is based on the rate equations for electrons, holes, deep paramagnetic and
non paramagnetic centers both under CW and pulsed optical excitation. Emphasis
is given to the effect of the competition between paramagnetic centers and non
paramagnetic centers which allows us to reproduce the measured characteristics
of the spin-dependent recombination power dependence. Particular attention is
paid to the role of an external magnetic field in Voigt geometry. The
photoconductivity exhibits a Hanle-type curve whereas the spin polarization of
electrons shows two superimposed Lorentzian curves with different widths,
respectively related to the recombination of free and trapped electrons. The
model is capable of reproducing qualitatively and quantitatively the most
important features of photoluminescence and photocurrent experiments and is
helpful in providing insight on the various mechanisms involved in the electron
spin polarization and filtering in GaAsN semiconductors.Comment: 10 pages, 5 figure
Room temperature Giant Spin-dependent Photoconductivity in dilute nitride semiconductors
By combining optical spin injection techniques with transport spectroscopy
tools, we demonstrate a spin-photodetector allowing for the electrical
measurement and active filtering of conduction band electron spin at room
temperature in a non-magnetic GaAsN semiconductor structure. By switching the
polarization of the incident light from linear to circular, we observe a Giant
Spin-dependent Photoconductivity (GSP) reaching up to 40 % without the need of
an external magnetic field. We show that the GSP is due to a very efficient
spin filtering effect of conduction band electrons on Nitrogen-induced Ga
self-interstitial deep paramagnetic centers.Comment: 4 pages, 3 figure
A systematic study of spin-dependent recombination in GaAsN as a function of nitrogen content
A systematic study of spin-dependent recombination (SDR) under steady-state
optical pumping conditions in dilute nitride semiconductors as a function of
nitrogen content is reported. The alloy content is determined by a fit of the
photoluminescence (PL) intensity using a Roosbroeck-Shockley relation and
verified by a study of the GaN-like LO phonon peak in a Raman spectroscopy
map. PL spectra taken from alloys of the form GaAsN where exhibit PL intensity increases when switching from a linearly- to a
circularly-polarized pump up to a factor of 5 for . This work used a
1.39 eV laser with a radius of 0.6 m. The observed SDR ratio monotonically
decreases with increasing , reaching 1.5 for . Moreover, the
excitation power required to obtain maximum SDR systematically increases with
increasing , varying from 0.6 mW for to 15 mW for .
These observations are consistent with an increase in the density of
electronically active defects with increasing nitrogen content, both those
responsible for the SDR as well as other, standard Shockley-Read-Hall (SRH)
centers.Comment: 11 pages, 5 figures; work presented at the International Conference
on the Physics of Semiconductors, Sydney, 202
Deep-level structure of the spin-active recombination center in dilute nitrides
A Gallium interstitial defect (Ga) is thought to be
responsible for the spectacular spin-dependent recombination (SDR) in
GaAsN dilute nitride semiconductors. Current understanding
associates this defect with two in-gap levels corresponding to the (+/0) and
(++/+) charge-state transitions. Using a spin-sensitive photo-induced current
transient spectroscopy, the in-gap electronic structure of a = 0.021 alloy
is revealed. The (+/0) state lies 0.27 eV below the conduction band
edge, and an anomalous, negative activation energy reveals the presence of not
one but \textit{two} other states in the gap. The observations are consistent
with a (++/+) state 0.19 eV above the valence band edge, and a
hitherto ignored, (+++/++) state 25 meV above the valence band edge.
These observations can inform efforts to better model the SDR and the
Ga defect's local chemical environment.Comment: 6 pages, 5 figures plus Supplementary Materia
Microbial food web dynamics in response to a Saharan dust event: results from a mesocosm study in the oligotrophic Mediterranean Sea
BiogeosciencesInternational audienceThe significant impact of dust deposition on het-erotrophic bacterial dynamics in the surface oligotrophic ocean has recently been evidenced. Considering the central role of bacteria in the microbial loop, it is likely that dust deposition also affects the structure and the functioning of the whole microbial food web. In the frame of the DUNE project, aiming to estimate the impact of dust deposition on the oligotrophic Mediterranean Sea through mesocosm ex-periments, the main goal of the present paper was to as-sess how two successive dust deposition events affect the dynamics of the microbial food web. The first dust seeding delivered new P and N to the amended mesocosms and re-sulted in a pronounced stimulation of bacterial respiration. It also induced pronounced, but transient, changes in the bac-terial community composition. No significant effects were observed on the abundances of viruses and heterotrophic nanoflagellates. The second dust seeding also delivered new P and N to the amended mesocosms, but the effect on the microbial food web was very different. Bacterial respira-tion remained constant and bacterial abundance decreased. Compositional changes following the second seeding were minor compared to the first one. The decrease in bacterial abundance coincided with an increase in virus abundance, resulting in higher virus : bacteria ratios throughout the sec-ond seeding period. Our study shows that dust deposition to the surface oligotrophic ocean may involve important mod-ifications of the trophic links among the components of the microbial food web with presumed consequences on C and nutrient cycling
Position paper - progress towards standards in integrated (aerobic) MBR modelling
Membrane bioreactor (MBR) models are useful tools for both design and management. The system complexity is high due to the involved number of processes which can be clustered in biological and physical ones. Literature studies are present and need to be harmonized in order to gain insights from the different studies and allow system optimization by applying a control. This position paper aims at defining the current state of the art of the main integrated MBR models reported in the literature. On the basis of a modelling review, a standardized terminology is proposed to facilitate the further development and comparison of integrated membrane fouling models for aerobic MBRs
Correlated optical and structural analyses of individual GaAsP/GaP coreâshell nanowires
International audienc
Biological processes modelling for MBR systems: A review of the state-of-the-art focusing on SMP and EPS
A mathematical correlation between biomass kinetic and membrane fouling can improve the understanding and spread of Membrane Bioreactor (MBR) technology, especially in solving the membrane fouling issues. On this behalf, this paper, produced by the International Water Association (IWA) Task Group on Membrane modelling and control, reviews the current state-of-the-art regarding the modelling of kinetic processes of biomass, focusing on modelling production and utilization of soluble microbial products (SMP) and extracellular polymeric substances (EPS). The key findings of this work show that the new conceptual approaches focus on the role of different bacterial groups in the formation and degradation of SMP/EPS. Even though several studies have been published regarding SMP modelling, there still needs to be more information due to the highly complicated SMP nature to facilitate the accurate modelling of membrane fouling. The EPS group has seldom been addressed in the literature, probably due to the knowledge deficiency concerning the triggers for production and degradation pathways in MBR systems, which require further efforts. Finally, the successful model applications showed that proper estimation of SMP and EPS by modelling approaches could optimise membrane fouling, which can influence the MBR energy consumption, operating costs, and greenhouse gas emissions
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