148 research outputs found

    Emergence of a spin-liquid-like phase in quantum spin-ladder Ba2CuTeO6 with chemical substitution

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    Stabilization of the quantum spin liquids is vital to realize applications in spintronics and quantum computing. The unique magnetic structure of Ba2CuTeO6 comprising of coupled spin-ladders with finite inter-ladder coupling brings the system close to the quantum critical point. This opens up possibilities to stabilize unconventional magnetic phases by tailoring the intra- and inter-ladder exchange couplings. Here, we demonstrate a spin-liquid-like phase in Ba2CuTeO6 using the method of chemical substitution. We choose non-magnetic La3+ cation to substitute the Ba2+ in Ba2CuTeO6 and present signature fingerprints such as deprived magnetic transition, non-dispersive AC susceptibility, magnetic field-independent heat capacity, and broad Raman continuum supporting the emergence of a spin-liquid-like phase. We believe that an increased magnetic frustration and spin-fractionalization upon chemical substitution play a crucial role in driving such a state. In addition, temperature and magnetic field-dependent phonon response indicate the presence of magnetostriction (spin-lattice coupling) in La-doped Ba2CuTeO6, a notable property of spin-liquids

    Tailoring the defects and electronic band structure in WS2/h-BN heterostructure

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    The 2D semiconducting transition metal dichalcogenides (e.g., WS2) host strong coupling between various degrees of freedom leading to potential applications in next-generation device applications including optoelectronics. Such applications are strongly influenced by defects which can control both the optical and electronic properties of the material. We demonstrate the possibility to tailor the defect-related electronic states and the lattice dynamics properties of WS2 in their heterostructures with h-BN which host a strong interlayer coupling between the charge carriers in the WS2 layer and the phonons of h-BN. This coupling is observed to induce modifications to the interlayer phonons (manifested by their modified Raman-activity) and to the charge carrier mobilities in the WS2 layer (which results in creation of mid-gap energy states associated with many-body quasiparticle states). Our study also includes a detailed characterization of the defects through Raman measurements revealing an A_1g-type nature with differential resonance behavior for the modes that are related to defect scattering with respect to the other normal phonon modes of WS2.Comment: 22 pages, 5 figures, Supplemental materia

    HYPOGLYCEMIC AND ANTIHYPERLIPIDEMIC EFFECTS OF ADIANTUM CAUDATUM IN ALLOXAN INDUCED DIABETES IN RATS

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    ABSTRACTObjective: To investigate the hypoglycemic and antihyperlipidemic effect of a successive ethanolic extract of Adiantum caudatum (EEAC) whole plantin alloxan induced diabetic rats.Methods: Diabetes was induced in Wistar albino rats by the administration of alloxan (140 mg/kg b. w., i.p.). EEAC (200 mg/kg b. w., p.o.) wasadministered to diabetic rats for 21 days in alloxan induced diabetic rats. The effect of EEAC on blood glucose and body weight was studied in alloxaninduced diabetic rats. All these effects were compared with glibenclamide (10 mg/kg b. w., p.o.) as a reference antidiabetic drug.Results: The administration of EEAC (200 mg/kg b. w., p.o.) resulted in a significant decrease in blood glucose level and a significant increase in bodyweight in alloxan induced diabetic rats. Furthermore, EEAC showed antihyperlipidemic activity as evidenced by a significant decrease in serum totalcholesterol and triglyceride levels in alloxan induced diabetic rats.Conclusion: The results suggest that the EEAC possess a promising hypoglycemic effect in alloxan induced diabetic rats.Keywords: Hypoglycemic, Antihyperlipidemic, Adiantum caudatum, Alloxan, Diabetes

    Wrinkles, folds and ripplocations: unusual deformation structures of confined elastic sheets at non-zero temperatures

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    We study the deformation of a fluctuating crystalline sheet confined between two flat rigid walls as a simple model for layered solids where bonds among atoms {\it within} the same layer are much stronger than those {\it between} layers. When subjected to sufficiently high loads in an appropriate geometry, these solids deform and fail in unconventional ways. Recent experiments suggest that configurations named {\it ripplocations}, where a layer folds backwards over itself, are involved. These structures are distinct and separated by large free energy barriers from smooth {\it ripples} of the atomic layers that are always present at any non-zero temperature. We use Monte Carlo simulation in combination with an umbrella sampling technique to obtain conditions under which such structures form and study their specific experimental signatures.Comment: 8 pages, 7 figure

    Manifestation of geometric frustration on magnetic and thermodynamic properties of pyrochlores Sm2X2O7Sm_2X_2O_7 (X=Ti, Zr)

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    We present here magnetization, specific heat and Raman studies on single-crystalline specimens of the first pyrochlore member Sm2Ti2O7Sm_2Ti_2O_7 of the rare-earth titanate series. Its analogous compound Sm2Zr2O7Sm_2Zr_2O_7 in the rare-earth zirconate series is also investigated in the polycrystalline form. The Sm spins in Sm2Ti2O7Sm_2Ti_2O_7 remain unordered down to at least T = 0.5 K. The absence of magnetic ordering is attributed to very small values of exchange (θcw 0.26K\theta_{cw} ~ -0.26 K) and dipolar interaction (μeff 0.15μB\mu_{eff} ~ 0.15 \mu_B) between the Sm3+Sm^{3+} spins in this pyrochlore. In contrast, the pyrochlore Sm2Zr2O7Sm_2Zr_2O_7 is characterized by a relatively large value of Sm-Sm spin exchange (θcw 10K\theta_{cw} ~ - 10 K); however, long-range ordering of the Sm3+Sm^{3+} spins is not established at least down to T = 0.67 K, due to frustration of the Sm3+Sm^{3+} spins on the pyrochlore lattice. The ground state of Sm3+Sm^{3+} ions in both pyrochlores is a well-isolated Kramer's doublet. The higher-lying crystal field excitations are observed in the low-frequency region of the Raman spectra of the two compounds recorded at T = 10 K. At higher temperatures, the magnetic susceptibility of Sm2Ti2O7Sm_2Ti_2O_7 shows a broad maximum at T = 140 K while that of Sm2Zr2O7Sm_2Zr_2O_7 changes monotonically. Whereas Sm2Ti2O7Sm_2Ti_2O_7 is a promising candidate for investigating spin-fluctuations on a frustrated lattice as indicated by our data, the properties of Sm2Zr2O7Sm_2Zr_2O_7 seem to conform to a conventional scenario where geometrical frustration of the spin exclude their long-range ordering.Comment: 24 pages, 6 figures, Accepted for publication in Phys. Rev.

    Anomalous Raman scattering from phonons and electrons of superconducting FeSe0.82_{0.82}

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    We report interesting anomalies in the temperature dependent Raman spectra of FeSe0.82_{0.82} measured from 3K to 300K in the spectral range from 60 to 1800 cm1^{-1} and determine their origin using complementary first-principles density functional calculations. A phonon mode near 100 cm1^{-1} exhibits a sharp increase by \sim 5% in frequency below a temperature Ts_s (\sim 100 K) attributed to strong spin-phonon coupling and onset of short-range antiferromagnetic order. In addition, two high frequency modes are observed at 1350 cm1^{-1} and 1600 cm1^{-1}, attributed to electronic Raman scattering from (x2y2x^2-y^2)to xzxz / yzyz dd-orbitals of Fe.Comment: 19 pages, 4 figures, 1 tabl

    Evidence of Charge-Phonon coupling in Van der Waals materials Ni1-xZnxPS3

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    NiPS3 is a Van der Waals antiferromagnet that has been found to display spin-charge and spin-phonon coupling in its antiferromagnetically ordered state below TN = 155 K. Here, we study high-quality crystals of site-diluted Ni1-xZnxPS3 (0 < x < 0.2) using temperature-dependent specific heat and Raman spectroscopy probes. The site dilution suppresses the antiferromagnetic ordering in accordance with the mean-field prediction. In NiPS3, we show that the phonon mode P2 (176 cm-1) associated with Ni vibrations show a distinct asymmetry due to the Fano resonance, which persists only in the paramagnetic phase, disappearing below T_N = 155 K. This was further supported by temperature-dependent Raman data on an 8% Zn-doped crystal (T_N = 135 K) where Fano resonance similarly van in the magnetically ordered phase. This is contrary to the behaviour of the Raman mode P9 (570 cm-1), which shows a Fano resonance at low temperatures below T_N due to its coupling with the two-magnon continuum. We show that the Fano resonance of P2 arises from its coupling with an electronic continuum that weakens considerably upon cooling to low temperatures. In the doped crystals, the Fano coupling is found to enhance with Zn-doping. These observations suggest the presence of strong electron-phonon coupling in the paramagnetic phase of NiPS3 due to charge density fluctuations associated with the negative charge transfer state of Ni

    An Investigation of Suicidal Ideation from Social Media Using Machine Learning Approach

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      Despite improvements in the detection and treatment of severe mental disorders, suicide remains a significant public health concern. Suicide prevention and control initiatives can benefit greatly from a thorough comprehension and foreseeability of suicide patterns. Understanding suicide patterns, especially through social media data analysis, can help in suicide prevention and control efforts. The objective of this study is to evaluate predictors of suicidal behavior in humans using machine learning. It is crucial to create a machine learning model for detection of suicide thoughts by monitoring a user's social media posts to identify warning signs of mental health issues. Through the analysis of social media posts, our research intends to develop a machine learning model for identifying suicide ideation and probable mental health problems. This study will help immensely to comprehend the environmental risk factors that influence suicidal thoughts and conduct across time. In this research the use of machine learning on social media data is an exciting new direction for understanding the environmental risk factors that impact an individual's susceptibility to suicide ideation and conduct over time. The machine learning algorithms showed high accuracy, precision, recall, and F1-score in detecting suicide patterns on social media data whereas SVM has the highest performance with an accuracy of 0.886.    
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