2,838 research outputs found
Scalable photonic sources using two-dimensional lead halide perovskite superlattices
Miniaturized photonic sources based on semiconducting two-dimensional (2D) materials offer new technological opportunities beyond the modern III-V platforms. For example, the quantum-confined 2D electronic structure aligns the exciton transition dipole moment parallel to the surface plane, thereby outcoupling more light to air which gives rise to high-efficiency quantum optics and electroluminescent devices. It requires scalable materials and processes to create the decoupled multi-quantum-well superlattices, in which individual 2D material layers are isolated by atomically thin quantum barriers. Here, we report decoupled multi-quantum-well superlattices comprised of the colloidal quantum wells of lead halide perovskites, with unprecedentedly ultrathin quantum barriers that screen interlayer interactions within the range of 6.5 Å. Crystallographic and 2D k-space spectroscopic analysis reveals that the transition dipole moment orientation of bright excitons in the superlattices is predominantly in-plane and independent of stacking layer and quantum barrier thickness, confirming interlayer decoupling
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Fak56 functions downstream of integrin alphaPS3betanu and suppresses MAPK activation in neuromuscular junction growth
Background: Focal adhesion kinase (FAK) functions in cell migration and signaling through activation of the mitogen-activated protein kinase (MAPK) signaling cascade. Neuronal function of FAK has been suggested to control axonal branching; however, the underlying mechanism in this process is not clear. Results: We have generated mutants for the Drosophila FAK gene, Fak56. Null Fak56 mutants display overgrowth of larval neuromuscular junctions (NMJs). Localization of phospho-FAK and rescue experiments suggest that Fak56 is required in presynapses to restrict NMJ growth. Genetic analyses imply that FAK mediates the signaling pathway of the integrin αPS3βν heterodimer and functions redundantly with Src. At NMJs, Fak56 downregulates ERK activity, as shown by diphospho-ERK accumulation in Fak56 mutants, and suppression of Fak56 mutant NMJ phenotypes by reducing ERK activity. Conclusion: We conclude that Fak56 is required to restrict NMJ growth during NMJ development. Fak56 mediates an extracellular signal through the integrin receptor. Unlike its conventional role in activating MAPK/ERK, Fak56 suppresses ERK activation in this process. These results suggest that Fak56 mediates a specific neuronal signaling pathway distinct from that in other cellular processes
High-performance InSe Transistors with Ohmic Contact Enabled by Nonrectifying-barrier-type Indium Electrodes
The electrical contact to two-dimensional (2D)-semiconductor materials are
decisive to the electronic performance of 2D-semiconductor field-effect devices
(FEDs). The presence of a Schottky barrier often leads to a large contact
resistance, which seriously limits the channel conductance and carrier mobility
measured in a two-terminal geometry. In contrast, ohmic contact is desirable
and can be achieved by the presence of a nonrectifying or tunneling barrier.
Here, we demonstrate that an nonrectifying barrier can be realized by
contacting indium (In), a low work function metal, with layered InSe because of
a favorable band alignment at the In-InSe interface. The nonrectifying barrier
is manifested by ohmic contact behavior at T=2 K and a low barrier height,
{\Phi}=50 meV. This ohmic contact enables demonstration of an ON-current as
large as 410 {\mu}A/{\mu}m, which is among the highest values achieved in FEDs
based on layered semiconductors. A high electron mobility of 3,700 and 1,000
cm/Vs is achieved with the two-terminal In-InSe FEDs at T=2 K and room
temperature, respectively, which can be attributed to enhanced quality of both
conduction channel and the contacts. The improvement in the contact quality is
further proven by an X-ray photoelectron spectroscopy study, which suggests
that a reduction effect occurs at the In-InSe interface. The demonstration of
high-performance In-InSe FEDs indicates a viable interface engineering method
for next-generation, 2D-semiconductor-based electronics
Oscillation-free Quantization for Low-bit Vision Transformers
Weight oscillation is an undesirable side effect of quantization-aware
training, in which quantized weights frequently jump between two quantized
levels, resulting in training instability and a sub-optimal final model. We
discover that the learnable scaling factor, a widely-used
setting in quantization aggravates weight oscillation. In this study, we
investigate the connection between the learnable scaling factor and quantized
weight oscillation and use ViT as a case driver to illustrate the findings and
remedies. In addition, we also found that the interdependence between quantized
weights in and of a self-attention layer makes
ViT vulnerable to oscillation. We, therefore, propose three techniques
accordingly: statistical weight quantization () to improve
quantization robustness compared to the prevalent learnable-scale-based method;
confidence-guided annealing () that freezes the weights with
and calms the oscillating weights; and
- reparameterization () to resolve the
query-key intertwined oscillation and mitigate the resulting gradient
misestimation. Extensive experiments demonstrate that these proposed techniques
successfully abate weight oscillation and consistently achieve substantial
accuracy improvement on ImageNet. Specifically, our 2-bit DeiT-T/DeiT-S
algorithms outperform the previous state-of-the-art by 9.8% and 7.7%,
respectively. Code and models are available at: https://github.com/nbasyl/OFQ.Comment: Proceedings of the 40 th International Conference on Machine
Learning, Honolulu, Hawaii, USA. PMLR 202, 202
Team Quotients, Resilience, and Performance of Software Development Projects
Past studies have examined actions and strategies that software project teams can take to reduce the negative impact of uncertainties, such as changing requirements. Software development project teams often have to be flexible to follow the pre-defined plans and strive to meet project goals. Sometimes uncertainty may go extreme to temporarily slow projects down and set project teams into reduced productivity. Project teams should be resilient to recover from the reduce productivity condition and move forward toward predefined goals. This study focuses on understanding the importance of team resilience for software project teams and exploring the antecedents of team resilience. Specifically, we investigate the impacts of intelligence and emotional quotient on team resilience capability, the extent to which project team can recover from the impediment and move forward. This is a research-in-progress work. A future empirical test plan has been discussed at the end
Mechanism of thermal field and electric field in resistive random access memory using the high/low-k side wall structure
In the Internet of things (IoT) era, low power consumption memory will be a critical issue for further device development. Among many kinds of next-generation memories, resistive random access memory (RRAM) is considered as having the most potential due to its high performance. To prevent unrecoverable hard break-down of a RRAM device, the RRAM should be collocated with a transistor for external current compliance. With decreasing device cell size, however, the operating voltage of the transistor will become smaller and smaller. Previous study has determined that the forming voltage of RRAM increases when device cell size is reduced, which is a very crucial issue especially when the device is scaled down. We have proposed a high-k sidewall spacer structure in RRAM to solve the dilemma of increasing forming voltages for device cell scaling down. Based on the COMSOL-simulated electrical field distributions in the high-k RRAM. In addition, thermal conductivity of sidewall spacer influenced resistive switching behavior. Suitable thermal conductivity of sidewall materials can enhance resistive switching behavior.
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An effective hybrid of hill climbing and genetic algorithm for 2D triangular protein structure prediction
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