84 research outputs found

    Field-Induced Magnetic Order in Quantum Spin Liquids

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    We study magnetic field-induced three-dimensional ordering transitions in low-dimensional quantum spin liquids, such as weakly coupled, antiferromagnetic spin-1/2 Heisenberg dimers and ladders. Using stochastic series expansion quantum Monte Carlo simulations, thermodynamic response functions are obtained down to ultra-low temperatures. We extract the critical scaling exponents which dictate the power-law dependence of the transition temperature on the applied magnetic field. These are compared with recent experiments on candidate materials and with predictions for the Bose-Einstein condensation of magnons obtained in mean-field theory.Comment: RevTex, 4 pages with 5 figure

    The Magnetic Spin Ladder (C_{5}H_{12}N)_{2}CuBr_{4}: High Field Magnetization and Scaling Near Quantum Criticality

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    The magnetization, M(H30M(H \leq 30 T, 0.7 K T300\leq T \leq 300 K), from single crystals and powder samples of (C5_{5}H12_{12}N)2_{2}CuBr4_{4} has been used to identify this system as an S=1/2S=1/2 Heisenberg two-leg ladder in the strong coupling limit, J=13.3J_{\perp} = 13.3 K and J=3.8J_{\parallel} = 3.8 K, with Hc1=6.6H_{c1} = 6.6 T and Hc2=14.6H_{c2} = 14.6 T. An inflection point in M(H,T=0.7M(H, T = 0.7 K) at half-saturation, Ms/2M_{s}/2, is described by an effective \emph{XXZ} chain. The data exhibit universal scaling behavior in the vicinity of Hc1H_{c1} and Hc2H_{c2}, indicating the system is near a quantum critical point.Comment: 4 pages, 4 figure

    Supply chain sustainability performance measurement of small and medium sized enterprises using structural equation modeling

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    Sustainability of small and medium sized enterprises (SMEs) is significant as SMEs contribute to GDP substantially in every economy. This research develops an innovative sustainable supply chain performance measurement model for SMEs. Prior researches predominantly use balanced score card (BSC) approach that presume causal relationship of criteria and Data Envelopment Analysis (DEA), which derive efficiency of units from a few input and output criteria. While DEA is effective for policymakers, BSC is more suitable for individual SME. The proposed method that uses structural equation modeling (SEM) approach to derive the relationship of criteria and criteria weights formulates regression-type models for a specific region as well as for specific SME. The SEM-based supply chain sustainability performance measurement model is beneficial to policymakers as they can determine means for improvement at a regional level. The proposed method could also facilitate managers/owners of individual SMEs with measures for improving their supply chain sustainability performance. The method has been applied to three varied geographical locations in the UK, France and India in order to demonstrate its effectiveness
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