Enhanced Effect of Negative Differential Thermal Resistance in Nanoscale Confined Structure with Nanopatterned Surfaces

Li, Fan; Wang, Jun

doi:10.1021/acs.jpcc.9b09214

Cited by 7 publications

(3 citation statements)

References 44 publications

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“…In the case of ∆ < 0, the heat flux increases with |∆ |, then decreases for larger |∆ |, i.e., negative differential thermal resistance can be observed in this system. [56][57][58]…”

Section: Thermal Rectification Simulation Resultsmentioning

confidence: 99%

Thermal rectification induced by Wenzel–Cassie wetting state transition on nano-structured solid–liquid interfaces

Li¹,

Wang²

2023

Chinese Phys. B

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Thermal rectification refers to the phenomenon by which the magnitude of the heat flux in one direction is much larger than that in the opposite direction. In this study, we propose to implement the thermal rectification phenomenon in an asymmetric solid-liquid-solid sandwiched system with a nano-structured interface. By using the non-equilibrium molecular dynamics simulations, the thermal transport through the solid-liquid-solid system is examined, and the thermal rectification phenomenon can be observed. It is revealed that the thermal rectification effect can be attributed to the significant difference in the interfacial thermal resistance between Cassie and Wenzel states when reversing the temperature bias. In addition, the effect of the liquid density, solid-liquid bonding strength and nanostructure size on the thermal rectification is also examined. The findings in this paper provide a new way for the design of certain thermal devices.

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“…In the case of ∆ < 0, the heat flux increases with |∆ |, then decreases for larger |∆ |, i.e., negative differential thermal resistance can be observed in this system. [56][57][58]…”

Section: Thermal Rectification Simulation Resultsmentioning

confidence: 99%

Thermal rectification induced by Wenzel–Cassie wetting state transition on nano-structured solid–liquid interfaces

Li¹,

Wang²

2023

Chinese Phys. B

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“…For boiling points, the lattice structure nearly has no effect on the correlation formula. However, for the complex organic chain molecules, the LJ systems on a random disordered substrate and active matter or self-propulsion systems [15][16][17][18], the empirical correlation may not be applicable due to the anisotropy in the system, and needs to be reformulated with different models and characteristic parameters. Starting from the perspective of molecular dynamics, the presented empirical correlations validate and improve the Lindemann's melting criterion, and provide a rapid method to evaluate the melting and boiling temperatures of the LJ substances.…”

Section: Prediction Of Phase Transition Pointmentioning

confidence: 99%

“…In the supercritical field, Fomin et al [13] and Ryltsev et al [14] used the LJ potential to study the main dynamic and thermodynamic properties at Frenkel lines with rigid liquid-like and non-rigid gas-like supercritical states. In addition, LJ potential functions are also applied in the confined systems on random disordered substrate [15,16] and active matter or self-propulsion systems [17,18].…”

Section: Introductionmentioning

confidence: 99%

A new correlation model for predicting the melting and boiling temperatures of the Lennard-Jones systems

Sun¹,

Zhang²,

Hou³

et al. 2022

Phys. Scr.

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The Lennard-Jones (LJ) potential function is widely employed in molecular dynamics simulations. In this study, the LJ potentials under different characteristic diameter σ and characteristic energy ε were simulated, and the changes in properties such as number density, total energy, phase transition latent heat, and phase transition temperature were detailed. With the increase of σ, the melting and boiling temperatures of the LJ systems and the thermodynamic temperature range corresponding to liquid decrease, while with the increase of ε, the melting and boiling temperatures and the thermodynamic temperature range of liquid increase. Moreover, the phase transition latent heat hardly changes with the increase of σ, but significantly increases with ε. The number densities at the melting and boiling temperatures are only dependent on σ, and are not nearly influenced by ε. Furthermore, based on a modified Lindemann’s melting criterion, a new empirical correlation model is proposed to predict the melting and boiling temperatures of the LJ systems, where the phase transition points are in good agreement with the experimental values. For the melting point, the absolute error between the formula and the experimental measurement for inert gas and methane is no more than 10 K, and for the boiling point, the absolute error is less than 15 K. By this new presented model, some thermophysical properties of the LJ potential systems can be quickly obtained and evaluated.

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Electro‐Thermal Characterization of Dynamical VO₂ Memristors via Local Activity Modeling

et al. 2022

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Translating the surging interest in neuromorphic electronic components, such as those based on nonlinearities near Mott transitions, into large‐scale commercial deployment faces steep challenges in the current lack of means to identify and design key material parameters. These issues are exemplified by the difficulties in connecting measurable material properties to device behavior via circuit element models. Here, the principle of local activity is used to build a model of VO2/SiN Mott threshold switches by sequentially accounting for constraints from a minimal set of quasistatic and dynamic electrical and high‐spatial‐resolution thermal data obtained via in situ thermoreflectance mapping. By combining independent data sets for devices with varying dimensions, the model is distilled to measurable material properties, and device scaling laws are established. The model can accurately predict electrical and thermal conductivities and capacitances and locally active dynamics (especially persistent spiking self‐oscillations). The systematic procedure by which this model is developed has been a missing link in predictively connecting neuromorphic device behavior with their underlying material properties, and should enable rapid screening of material candidates before employing expensive manufacturing processes and testing procedures.

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Enhanced Effect of Negative Differential Thermal Resistance in Nanoscale Confined Structure with Nanopatterned Surfaces

Cited by 7 publications

References 44 publications

Thermal rectification induced by Wenzel–Cassie wetting state transition on nano-structured solid–liquid interfaces

Thermal rectification induced by Wenzel–Cassie wetting state transition on nano-structured solid–liquid interfaces

A new correlation model for predicting the melting and boiling temperatures of the Lennard-Jones systems

Electro‐Thermal Characterization of Dynamical VO₂ Memristors via Local Activity Modeling

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Enhanced Effect of Negative Differential Thermal Resistance in Nanoscale Confined Structure with Nanopatterned Surfaces

Cited by 7 publications

References 44 publications

Thermal rectification induced by Wenzel–Cassie wetting state transition on nano-structured solid–liquid interfaces

Thermal rectification induced by Wenzel–Cassie wetting state transition on nano-structured solid–liquid interfaces

A new correlation model for predicting the melting and boiling temperatures of the Lennard-Jones systems

Electro‐Thermal Characterization of Dynamical VO2 Memristors via Local Activity Modeling

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Product

Resources

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Electro‐Thermal Characterization of Dynamical VO₂ Memristors via Local Activity Modeling