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An ultralow lattice thermal conductivity of 0.14 W$\cdot$ m$^{-1} \cdot$ K$^{-1}$ along the $\vec b$ axis of As$_2$Se$_3$ single crystals was obtained at 300 K by first-principles calculations involving the density functional theory and the…

Materials Science · Physics 2017-12-18 Robert L. González-Romero , Alex Antonelli , Anderson S. Chaves , Juan J. Meléndez

Short review on the different models for the electro-thermal 3-omega method. We present the deduction of the fundamental relation between the 3-omega voltage with the temperature rise to determine the thermal conductivity. The usage of the…

Materials Science · Physics 2018-11-05 Leandro N. Acquaroli

In this work, we first perform a systematic search for high-efficiency three-dimensional (3D) and two-dimensional (2D) thermoelectric materials by combining semiclassical transport techniques with density functional theory (DFT)…

Materials Science · Physics 2020-10-28 Kamal Choudhary , Kevin Garrity , Francesca Tavazza

3D-printed digital materials whose mechanical behavior travels between those from thermoplastic to rubbery polymers have become increasingly important. However, their mechanical functionalities have not been fully exploited due to intrinsic…

Soft Condensed Matter · Physics 2026-03-18 Seunghwan Lee , Gisoo Lee , Seounghee Yun , Sumin Lee , Jeonyoon Lee , Hansohl Cho

We study the fluctuation conductivity of a superconducting film, which is placed to perpendicular non-uniform magnetic field with the amplitude $H_0$ induced by the ferromagnet with domain structure. The conductivity tensor is shown to be…

Superconductivity · Physics 2015-06-11 S. V. Mironov , A. S. Mel'nikov

The possibility of using Infrared Lock-In Thermography (LIT) to estimate the thickness of a sample was assessed and shown to be accurate up to 1.8mm. LIT is a technique involving heating samples with halogen lamps with varying intensity…

Applied Physics · Physics 2018-10-15 Ming Hin Wong , Kok Hin Henry Goh

Understanding the microscopic thermal effects of the hydrogel is important for its application in diverse fields, including thermal-related studies in tissue engineering and thermal management for flexible electronic devices. In recent…

Theoretical spectroscopy is a powerful tool to describe and predict optical properties of materials. While nowadays routinely performed, first-principles calculations only provide bulk dielectric tensors in Cartesian coordinates. These…

Materials Science · Physics 2016-03-23 Christian Vorwerk , Caterina Cocchi , Claudia Draxl

We perform a computational screening for two-dimensional magnetic materials based on experimental bulk compounds present in the Inorganic Crystal Structure Database and Crystallography Open Database. A recently proposed geometric descriptor…

Materials Science · Physics 2020-12-04 Daniele Torelli , Hadeel Moustafa , Karsten W. Jacobsen , Thomas Olsen

Contour tracking in adverse environments is a challenging problem due to cluttered background, illumination variation, occlusion, and noise, among others. This paper presents a robust contour tracking method by contributing to some of the…

Computer Vision and Pattern Recognition · Computer Science 2015-03-17 Peihua Li

The thermophysical properties near the magnetic phase transition point is of great importance in the study of critical phenomenon. Low-dimensional materials are suggested to hold different thermophysical properties comparing to their bulk…

Mesoscale and Nanoscale Physics · Physics 2022-01-05 Qing Xi , Adili Ayiti , Lan Dong , Yuanyuan Wang , Jun Zhou , Xiangfan Xu

Silicon carbide (SiC) is a wide bandgap (WBG) semiconductor with promising applications in high-power and high-frequency electronics. Among its many useful properties, the high thermal conductivity is crucial. In this letter, the…

Materials Science · Physics 2017-12-15 Xin Qian , Puqing Jiang , Ronggui Yang

The detection of vascular structures from noisy images is a fundamental process for extracting meaningful information in many applications. Most well-known vascular enhancing techniques often rely on Hessian-based filters. This paper…

Computer Vision and Pattern Recognition · Computer Science 2019-02-05 Haifa F. Alhasson , Shuaa S. Alharbi , Boguslaw Obara

Low lattice thermal conductivity is essential for high thermoelectric performance of a material. Lattice thermal conductivity is often computed using density functional theory (DFT), typically at a high computational cost. Training machine…

Materials Science · Physics 2021-09-30 Rasmus Tranås , Ole Martin Løvvik , Oliver Tomic , Kristian Berland

Reliable artificial-intelligence models have the potential to accelerate the discovery of materials with optimal properties for various applications, including superconductivity, catalysis, and thermoelectricity. Advancements in this field…

Materials Science · Physics 2023-06-07 Thomas A. R. Purcell , Matthias Scheffler , Luca M. Ghiringhelli , Christian Carbogno

Torque magnetometry is a convenient technique to measure the magnetic properties of anisotropic materials. Advances in micromachining and the availability of robust materials with which such magnetometers can be fabricated has made them…

Strongly Correlated Electrons · Physics 2014-05-08 B. S. Shivaram

A method for the most efficient removal of heat, through an anisotropic composite, is proposed. It is shown that a rational placement of constituent materials, in the radial and the azimuthal variation, at a given point in the composite…

Materials Science · Physics 2015-12-15 Krishna P. Vemuri , Prabhakar R. Bandaru

Time-domain thermoreflectance (TDTR) and frequency-domain thermoreflectance (FDTR) have been widely used for non-contact measurement of anisotropic thermal conductivity of materials with high spatial resolution. However, the requirement of…

Applied Physics · Physics 2023-01-25 Jinchi Sun , Guangxin Lv , David G. Cahill

Accurate prediction of permeability tensors from pore-scale microstructure images is essential for subsurface flow modeling, yet direct numerical simulation requires hours per sample, fundamentally limiting large-scale uncertainty…

Machine Learning · Computer Science 2026-03-19 Mohammad Nooraiepour

A numerical modeling study based on 3D finite element method (FEM) simulation and 1D analytical solutions has been carried out to evaluate the capabilities of two ac methods for measuring in-plane thermal conductivity of thin film deposited…

Applied Physics · Physics 2020-12-22 Hanfu Wang , Yanjun Guo , Kaiwu Peng , Weiguo Chu , Guangming Chen
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