The structural stability and phonon properties of SnSe/SnS superlattices at finite temperatures have been studied using machine learning force field molecular dynamics and the anharmonic phonon approach. The vertical ...
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The structural stability and phonon properties of SnSe/SnS superlattices at finite temperatures have been studied using machine learning force field molecular dynamics and the anharmonic phonon approach. The vertical SnSe/SnS superlattice undergoes a phase transition from the Pnma phase to a P4/nmm phase at finite temperatures, which is different from the high-temperature Cmcm phase of the SnSe and SnS systems. The stability of P4/nmm phase is determined by molecular dynamics trajectories and anharmonic phonon dispersion relations. The TO modes at the q=Γ(0,0,0) and q=M(1/2,1/2,0) points in the P4/nmm phase exhibit imaginary frequencies in the harmonic approximation but stabilize at elevated temperatures. An analysis of phonon power spectra upon temperature also confirms the dynamic stabilization. The P4/nmm phase has higher symmetry than the Pnma phase, and the phase transition between them is accompanied by competition between the Jahn-Teller effect and phonon anharmonicity. Unlike the anisotropic distribution of Sn-Se/S bonds in the Pnma phase, the P4/nmm phase forms chemical bonds with similar bond lengths both in plane and interlayer, and their resonance effect can significantly enhance phonon scattering. The calculated phonon density of states and lifetime are strongly temperature dependent, demonstrating the heavy anharmonicity in the SnSe/SnS system. The P4/nmm phase has an extremely low lattice thermal conductivity, close to the experimental values of SnSe and SnS. Moreover, with the reduction of band gap and the enhancement of band degeneracy near the Fermi level, the P4/nmm phase exhibits superior electronic transport properties and significantly enhanced response to infrared and visible light. This makes it show great potential in thermoelectric and photovoltaic applications.
The electrocatalytic upcycling of polyethylene terephthalate (PET) plastic wastes into formate represents a sustainable approach to address the growing PET waste volume, while simultaneously generating valuable hydrog...
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We propose an ansatz without adjustable parameters for the calculation of dynamical structure factor. The ansatz combines quasi-particle Green’s function, especially the contribution from the renormalization factor, ...
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In this article, we show existence of minimizers in the loss landscape for residual artificial neural networks (ANNs) with multi-dimensional input layer and one hidden layer with ReLU activation. Our work contrasts ea...
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Fluid mixing process under direct current (DC) voltage stress is a complex phenomenon when the physical and chemical properties of the two streams are different. We experimentally investigate two streams of fluid flow...
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ISBN:
(数字)9798350395839
ISBN:
(纸本)9798350395846
Fluid mixing process under direct current (DC) voltage stress is a complex phenomenon when the physical and chemical properties of the two streams are different. We experimentally investigate two streams of fluid flow one with added ink, changing its density and electro-chemical properties, followed by the application of different DC voltage levels. In this experiment, we found that as the applied voltage increases, volumes of the two fluids – with and without ink keep oscillating. Using the state-of-the-art image segmentation methods based on k-means clustering on the transformed La*b* colour image space, we carry out the pixel counting based volume calculation in the voltage induced fluid mixing experiments. Here, each frame of the video is considered as a separate image, undergoing segmentation process yielding estimated pixel numbers in each cluster. Repeating this frame-by-frame clustering-based image segmentation process on the whole video data yields a fluctuating time-series data, showing the ratio of the two fluids within the closed chamber. Due to the high complexity of the noisy fluctuating time series data, we then apply the autoregressive fractionally integrated moving average (ARFIMA) model to quantify the two-fluid volumetric ratio fluctuation data in compact and simple discrete time models. The hyperparameter tuning of the ARFIMA models have also been demonstrated. The efficacy of the fractional order discrete time models or estimators change with the length of data being modelled which may be useful in getting better insights into the stability of fluid mixing process using the volumetric ratio data analysis, irrespective of the timescale of the experiments.
Chromosomes are intracellular aggregates carrying genetic information in genes, which are major objects of study in biological cytogenetics. An abnormal number or structure of chromosome causes chromosome disorders. C...
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While the Z3 symmetric dark matter models have shown tremendous prospects in addressing a number of (astro-)particle physics problems, they can leave interesting imprints on cosmological observations as well. We consi...
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In this article,we focus on the short time strong solution to a compressible quantum hydrodynamic *** establish a blow-up criterion about the solutions of the compressible quantum hydrodynamic model in terms of the gr...
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In this article,we focus on the short time strong solution to a compressible quantum hydrodynamic *** establish a blow-up criterion about the solutions of the compressible quantum hydrodynamic model in terms of the gradient of the velocity,the second spacial derivative of the square root of the density,and the first order time derivative and first order spacial derivative of the square root of the density.
Massive neutrinos are well-known to cause a characteristic suppression in the growth of structures at scales below the neutrino free-streaming length. A detailed understanding of this suppression is essential in the e...
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Unextendible product bases (UPBs) provide a versatile tool with various applications across different areas of quantum information theory. Their comprehensive characterization is thus of great importance and has been ...
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