6,803 research outputs found

    Formation of Long Single Quantum Dots in High Quality InSb Nanowires Grown by Molecular Beam Epitaxy

    Full text link
    We report on realization and transport spectroscopy study of single quantum dots (QDs) made from InSb nanowires grown by molecular beam epitaxy (MBE). The nanowires employed are 50-80 nm in diameter and the QDs are defined in the nanowires between the source and drain contacts on a Si/SiO2_2 substrate. We show that highly tunable QD devices can be realized with the MBE-grown InSb nanowires and the gate-to-dot capacitance extracted in the many-electron regimes is scaled linearly with the longitudinal dot size, demonstrating that the devices are of single InSb nanowire QDs even with a longitudinal size of ~700 nm. In the few-electron regime, the quantum levels in the QDs are resolved and the Land\'e g-factors extracted for the quantum levels from the magnetotransport measurements are found to be strongly level-dependent and fluctuated in a range of 18-48. A spin-orbit coupling strength is extracted from the magnetic field evolutions of a ground state and its neighboring excited state in an InSb nanowire QD and is on the order of ~300 μ\mueV. Our results establish that the MBE-grown InSb nanowires are of high crystal quality and are promising for the use in constructing novel quantum devices, such as entangled spin qubits, one-dimensional Wigner crystals and topological quantum computing devices.Comment: 19 pages, 5 figure

    Shape complexity and fractality of fracture surfaces of swelled isotactic polypropylene with supercritical carbon dioxide

    Full text link
    We have investigated the fractal characteristics and shape complexity of the fracture surfaces of swelled isotactic polypropylene Y1600 in supercritical carbon dioxide fluid through the consideration of the statistics of the islands in binary SEM images. The distributions of area AA, perimeter LL, and shape complexity CC follow power laws p(A)A(μA+1)p(A)\sim A^{-(\mu_A+1)}, p(L)L(μL+1)p(L)\sim L^{-(\mu_L+1)}, and p(C)C(ν+1)p(C)\sim C^{-(\nu+1)}, with the scaling ranges spanning over two decades. The perimeter and shape complexity scale respectively as LAD/2L\sim A^{D/2} and CAqC\sim A^q in two scaling regions delimited by A103A\approx 10^3. The fractal dimension and shape complexity increase when the temperature decreases. In addition, the relationships among different power-law scaling exponents μA\mu_A, μB\mu_B, ν\nu, DD, and qq have been derived analytically, assuming that AA, LL, and CC follow power-law distributions.Comment: RevTex, 6 pages including 7 eps figure

    Regulation of muscle fiber type and running endurance by PPARdelta

    Get PDF
    Endurance exercise training can promote an adaptive muscle fiber transformation and an increase of mitochondrial biogenesis by triggering scripted changes in gene expression. However, no transcription factor has yet been identified that can direct this process. We describe the engineering of a mouse capable of continuous running of up to twice the distance of a wild-type littermate. This was achieved by targeted expression of an activated form of peroxisome proliferator-activated receptor delta (PPARdelta) in skeletal muscle, which induces a switch to form increased numbers of type I muscle fibers. Treatment of wild-type mice with PPARdelta agonist elicits a similar type I fiber gene expression profile in muscle. Moreover, these genetically generated fibers confer resistance to obesity with improved metabolic profiles, even in the absence of exercise. These results demonstrate that complex physiologic properties such as fatigue, endurance, and running capacity can be molecularly analyzed and manipulated

    DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models

    Full text link
    Generative Pre-trained Transformer (GPT) models have exhibited exciting progress in capabilities, capturing the interest of practitioners and the public alike. Yet, while the literature on the trustworthiness of GPT models remains limited, practitioners have proposed employing capable GPT models for sensitive applications to healthcare and finance - where mistakes can be costly. To this end, this work proposes a comprehensive trustworthiness evaluation for large language models with a focus on GPT-4 and GPT-3.5, considering diverse perspectives - including toxicity, stereotype bias, adversarial robustness, out-of-distribution robustness, robustness on adversarial demonstrations, privacy, machine ethics, and fairness. Based on our evaluations, we discover previously unpublished vulnerabilities to trustworthiness threats. For instance, we find that GPT models can be easily misled to generate toxic and biased outputs and leak private information in both training data and conversation history. We also find that although GPT-4 is usually more trustworthy than GPT-3.5 on standard benchmarks, GPT-4 is more vulnerable given jailbreaking system or user prompts, potentially due to the reason that GPT-4 follows the (misleading) instructions more precisely. Our work illustrates a comprehensive trustworthiness evaluation of GPT models and sheds light on the trustworthiness gaps. Our benchmark is publicly available at https://decodingtrust.github.io/

    Constraints on Spin-Independent Nucleus Scattering with sub-GeV Weakly Interacting Massive Particle Dark Matter from the CDEX-1B Experiment at the China Jin-Ping Laboratory

    Full text link
    We report results on the searches of weakly interacting massive particles (WIMPs) with sub-GeV masses (mχm_{\chi}) via WIMP-nucleus spin-independent scattering with Migdal effect incorporated. Analysis on time-integrated (TI) and annual modulation (AM) effects on CDEX-1B data are performed, with 737.1 kg\cdotday exposure and 160 eVee threshold for TI analysis, and 1107.5 kg\cdotday exposure and 250 eVee threshold for AM analysis. The sensitive windows in mχm_{\chi} are expanded by an order of magnitude to lower DM masses with Migdal effect incorporated. New limits on σχNSI\sigma_{\chi N}^{\rm SI} at 90\% confidence level are derived as 2×2\times10327×^{-32}\sim7\times1035^{-35} cm2\rm cm^2 for TI analysis at mχm_{\chi}\sim 50-180 MeV/c2c^2, and 3×3\times10329×^{-32}\sim9\times1038^{-38} cm2\rm cm^2 for AM analysis at mχm_{\chi}\sim75 MeV/c2c^2-3.0 GeV/c2c^2.Comment: 5 pages, 4 figure
    corecore