Category: 4. Physics

Continue Reading

  • Atomic manipulation of the emergent quasi-2D superconductivity and pair density wave in a kagome metal

    Atomic manipulation of the emergent quasi-2D superconductivity and pair density wave in a kagome metal

  • Yang, S. Y. et al. Giant, unconventional anomalous Hall effect in the metallic frustrated magnet candidate, KV3Sb5. Sci. Adv. 6, eabb6003 (2020).

    Article 
    PubMed 
    PubMed Central 
    CAS 

    Google Scholar 

  • Continue Reading

  • Memory kernel minimization-based neural networks for discovering slow collective variables of biomolecular dynamics

    Memory kernel minimization-based neural networks for discovering slow collective variables of biomolecular dynamics

  • Shaw, D. E. et al. Atomic-level characterization of the structural dynamics of proteins. Science 330, 341–346 (2010).

    Article 

    Google Scholar 

  • Lindorff-Larsen, K., Piana, S., Dror, R. O. & Shaw, D. E….

  • Continue Reading

  • SEEDNet: Covariate-free multi-country settlement-level epidemiological estimates datasets for network analysis

    SEEDNet: Covariate-free multi-country settlement-level epidemiological estimates datasets for network analysis

    Data Sources

    Health Indicators

    The Demographic and Health Surveys (DHS) program implements standard health surveys across multiple low- and middle-income countries22. The DHS are cross-sectional, standardized, and nationally representative surveys…

    Continue Reading

  • Deterministic steady-state subradiance within a single-excitation basis

    Deterministic steady-state subradiance within a single-excitation basis

    The quantum jump operator profile

    Following the tracing of the environment and the application of the Born-Markov and rotating-wave approximations, the Lindblad master equation of the n-emitter system in a weakly coupled environment can be…

    Continue Reading

  • Inverse imaging with elastic waves driven by unsupervised machine learning

    Inverse imaging with elastic waves driven by unsupervised machine learning

    Network architecture

    We begin with an elastic wave inverse imaging problem with four physical parameters to be retrieved as an illustrative example, which is simple and clear yet with no loss of generality, to demonstrate our workflow and explore…

    Continue Reading

  • Maximizing wireless power transfer efficiency at exceptional points

    Maximizing wireless power transfer efficiency at exceptional points

    Exceptional point and maximum efficiency

    A PT-symmetric WPT system is characterized by the interplay between the gain and loss of two coupled resonators (Fig. 1a). Energy flows into the transmitter resonator \({a}_{1}\) with the gain rate \(g\)

    Continue Reading

  • Reply to “Comment to ‘The laws of physics do not prohibit counterfactual communication’ ”

    In his Comment on our recent paper “The laws of physics do not prohibit counterfactual communication”, npj Quantum Information (2022) 8:60, Popescu argues that the claims of the paper are invalid. Here, we refute his argument, showing that it…

    Continue Reading

  • Efficiently charting the space of mixed vacancy-ordered perovskites by machine-learning encoded atomic-site information

    Efficiently charting the space of mixed vacancy-ordered perovskites by machine-learning encoded atomic-site information

  • Maughan, A. E. et al. Defect Tolerance to Intolerance in the Vacancy-Ordered Double Perovskite Semiconductors Cs2SnI6 and Cs2TeI6. J. Am. Chem. Soc. 138, 8453–8464 (2016).

    PubMed 

    Google Scholar 

  • Continue Reading

  • Resonance-based acoustic ventilated metamaterials for sound insulation

    Resonance-based acoustic ventilated metamaterials for sound insulation

  • Lusk, S. L., McCullagh, M., Dickson, V. V. & Xu, J. Position statement: harmful effects of environmental noise exposures. Nurs. Outlook 64, 395–396 (2016).

    Article 

    Google Scholar 

  • Gong, X. et al….

  • Continue Reading