92 research outputs found
Bi2O2Se nanowires presenting high mobility and strong spin-orbit coupling
Systematic electrical transport characterizations were performed on
high-quality Bi2O2Se nanowires to illustrate its great transport properties and
further application potentials in spintronics. Bi2O2Se nanowires synthesized by
chemical vapor deposition method presented a high field-effect mobility up to
1.34*104 cm2V-1s-1, and exhibited ballistic transport in the low back-gate
voltage (Vg) regime where conductance plateaus were observed. When further
increasing the electron density by increasing Vg, we entered the phase coherent
regime and weak antilocalization (WAL) was observed. The spin relaxation length
extracted from the WAL was found to be gate tunable, ranging from ~100 nm to
~250 nm and reaching a stronger spin-obit coupling (SOC) than the
two-dimensional counterpart (flakes). We attribute the strong SOC and the gate
tunability to the presence of a surface accumulation layer which induces a
strong inversion asymmetry on the surface. Such scenario was supported by the
observation of two Shubnikov-de Haas oscillation frequencies that correspond to
two types of carriers, one on the surface, and the other in the bulk. The
high-quality Bi2O2Se nanowires with a high mobility and a strong SOC can act as
a very prospective material in future spintronics.Comment: 22 pages, 7 figure
Strong spin-orbit interaction and magnetotransport in semiconductor BiOSe nanoplates
Semiconductor BiOSe nanolayers of high crystal quality have been
realized via epitaxial growth. These two-dimensional (2D) materials possess
excellent electron transport properties with potential application in
nanoelectronics. It is also strongly expected that the 2D BiOSe
nanolayers could be of an excellent material platform for developing spintronic
and topological quantum devices, if the presence of strong spin-orbit
interaction in the 2D materials can be experimentally demonstrated. Here, we
report on experimental determination of the strength of spin-orbit interaction
in BiOSe nanoplates through magnetotransport measurements. The
nanoplates are epitaxially grown by chemical vapor deposition and the
magnetotransport measurements are performed at low temperatures. The measured
magnetoconductance exhibits a crossover behavior from weak antilocalization to
weak localization at low magnetic fields with increasing temperature or
decreasing back gate voltage. We have analyzed this transition behavior of the
magnetoconductance based on an interference theory which describes the quantum
correction to the magnetoconductance of a 2D system in the presence of
spin-orbit interaction. Dephasing length and spin relaxation length are
extracted from the magnetoconductance measurements. Comparing to other
semiconductor nanostructures, the extracted relatively short spin relaxation
length of ~150 nm indicates the existence of strong spin-orbit interaction in
BiOSe nanolayers.Comment: 14 pages, 4 figures, and 5 pages of Supplementary Material
Universal conductance fluctuations and phase-coherent transport in a semiconductor BiOSe nanoplate with strong spin-orbit interaction
We report on phase-coherent transport studies of a BiOSe nanoplate
and on observation of universal conductance fluctuations and spin-orbit
interaction induced reduction in fluctuation amplitude in the nanoplate.
Thin-layered BiOSe nanoplates are grown by chemical vapor deposition
(CVD) and transport measurements are made on a Hall-bar device fabricated from
a CVD-grown nanoplate. The measurements show weak antilocalization at low
magnetic fields at low temperatures, as a result of spin-orbit interaction, and
a crossover toward weak localization with increasing temperature. Temperature
dependences of characteristic transport lengths, such as spin relaxation
length, phase coherence length, and mean free path, are extracted from the
low-field measurement data. Universal conductance fluctuations are visible in
the low-temperature magnetoconductance over a large range of magnetic fields
and the phase coherence length extracted from the autocorrelation function is
in consistence with the result obtained from the weak localization analysis.
More importantly, we find a strong reduction in amplitude of the universal
conductance fluctuations and show that the results agree with the analysis
assuming strong spin-orbit interaction in the BiOSe nanoplate.Comment: 11 pages, 4 figures, supplementary material
Crowdsourced mapping of unexplored target space of kinase inhibitors
Despite decades of intensive search for compounds that modulate the activity of particular protein targets, a large proportion of the human kinome remains as yet undrugged. Effective approaches are therefore required to map the massive space of unexplored compound-kinase interactions for novel and potent activities. Here, we carry out a crowdsourced benchmarking of predictive algorithms for kinase inhibitor potencies across multiple kinase families tested on unpublished bioactivity data. We find the top-performing predictions are based on various models, including kernel learning, gradient boosting and deep learning, and their ensemble leads to a predictive accuracy exceeding that of single-dose kinase activity assays. We design experiments based on the model predictions and identify unexpected activities even for under-studied kinases, thereby accelerating experimental mapping efforts. The open-source prediction algorithms together with the bioactivities between 95 compounds and 295 kinases provide a resource for benchmarking prediction algorithms and for extending the druggable kinome. The IDG-DREAM Challenge carried out crowdsourced benchmarking of predictive algorithms for kinase inhibitor activities on unpublished data. This study provides a resource to compare emerging algorithms and prioritize new kinase activities to accelerate drug discovery and repurposing efforts
Impact of opioid-free analgesia on pain severity and patient satisfaction after discharge from surgery: multispecialty, prospective cohort study in 25 countries
Background: Balancing opioid stewardship and the need for adequate analgesia following discharge after surgery is challenging. This study aimed to compare the outcomes for patients discharged with opioid versus opioid-free analgesia after common surgical procedures.Methods: This international, multicentre, prospective cohort study collected data from patients undergoing common acute and elective general surgical, urological, gynaecological, and orthopaedic procedures. The primary outcomes were patient-reported time in severe pain measured on a numerical analogue scale from 0 to 100% and patient-reported satisfaction with pain relief during the first week following discharge. Data were collected by in-hospital chart review and patient telephone interview 1 week after discharge.Results: The study recruited 4273 patients from 144 centres in 25 countries; 1311 patients (30.7%) were prescribed opioid analgesia at discharge. Patients reported being in severe pain for 10 (i.q.r. 1-30)% of the first week after discharge and rated satisfaction with analgesia as 90 (i.q.r. 80-100) of 100. After adjustment for confounders, opioid analgesia on discharge was independently associated with increased pain severity (risk ratio 1.52, 95% c.i. 1.31 to 1.76; P < 0.001) and re-presentation to healthcare providers owing to side-effects of medication (OR 2.38, 95% c.i. 1.36 to 4.17; P = 0.004), but not with satisfaction with analgesia (beta coefficient 0.92, 95% c.i. -1.52 to 3.36; P = 0.468) compared with opioid-free analgesia. Although opioid prescribing varied greatly between high-income and low- and middle-income countries, patient-reported outcomes did not.Conclusion: Opioid analgesia prescription on surgical discharge is associated with a higher risk of re-presentation owing to side-effects of medication and increased patient-reported pain, but not with changes in patient-reported satisfaction. Opioid-free discharge analgesia should be adopted routinely
Subadditive Pre-Image Variational Principle for Bundle Random Dynamical Systems
A central role in the variational principle of the measure preserving transformations is played by the topological pressure. We introduce subadditive pre-image topological pressure and pre-image measure-theoretic entropy properly for the random bundle transformations on a class of measurable subsets. On the basis of these notions, we are able to complete the subadditive pre-image variational principle under relatively weak conditions for the bundle random dynamical systems
A PSO-CVX Algorithm of Sum and Difference Beam Patterns for Time-Modulated Antenna Array
An integrated optimization of sum and difference beam for time-modulated linear antenna array is studied in this paper. The goal of sum and difference beam synthesis is to generate sum beam in the main band and difference beams in the first-order sideband with low side-lobe level through timing switches. The turn-on times of antenna array are achieved by solving a quadratic constraint linear programming; meanwhile, the opening times are optimized by particle swarm optimization algorithm. The results of linear array show that the sum and difference beam can be scanned within ±40 degrees, with lower peak side-lobe level
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