English
Related papers

Related papers: Thermal Spread Functions (TSF): Physics-guided Mat…

200 papers

We investigated the accelerated prediction of the thermal conductivity of materials through end- to-end structure-based approaches employing machine learning methods. Due to the non-availability of high-quality thermal conductivity data, we…

Materials Science · Physics 2023-11-07 Yagyank Srivastava , Ankit Jain

In this article, a general model for 1D thermal wave interference is derived for multi-layered coating systems on a thermally thick substrate using the same principles as for the well established one-layered and two-layered coating cases.…

Numerical Analysis · Mathematics 2023-01-25 Dimitri Rothermel , Thomas Schuster

We contribute MIDAS as a novel sensing solution for characterizing everyday objects using thermal dissipation. MIDAS takes advantage of the fact that anytime a person touches an object it results in heat transfer. By capturing and modeling…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-12-07 Farooq Dar , Hilary Emenike , Zhigang Yin , Mohan Liyanage , Rajesh Sharma , Agustin Zuniga , Mohammad A. Hoque , Marko Radeta , Petteri Nurmi , Huber Flores

We consider a system of equations that model the temperature, electric potential and deformation of a thermoviscoelastic body. A typical application is a thermistor; an electrical component that can be used e.g. as a surge protector,…

Numerical Analysis · Mathematics 2018-04-09 Axel Målqvist , Tony Stillfjord

Based on the phenomenological theory of heat diffusion, we show that the generated peak temperature $T_{\text{max}}$ after absorption of a laser pulse strongly depends on the pulse duration. We identify three different heat conduction…

Applied Physics · Physics 2020-02-26 Roman Shayduk , Peter Gaal

The thermal conductivity of organic liquids is a vital parameter influencing various industrial and environmental applications, including energy conversion, electronics cooling, and chemical processing. However, atomistic simulation of…

Autonomous driving relies on deriving understanding of objects and scenes through images. These images are often captured by sensors in the visible spectrum. For improved detection capabilities we propose the use of thermal sensors to…

Computer Vision and Pattern Recognition · Computer Science 2019-10-01 Kshitij Agrawal , Anbumani Subramanian

Multimode fiber (MMF) imaging aided by machine learning holds promise for numerous applications, including medical endoscopy. A key challenge for this technology is the sensitivity of modal transmission characteristics to environmental…

In nature adaptive coloration has been effectively utilized for concealment and signaling. Various biological mechanisms have evolved that can tune the reflectivity for visible and ultraviolet light. These examples inspire many artificial…

The next generation of ultra-low-noise cryogenic detectors for space science applications require continued exploration of materials characteristics at low temperatures. The low noise and good energy sensitivity of current Transition Edge…

Mesoscale and Nanoscale Physics · Physics 2011-02-01 D. J. Goldie , D. M. Glowacka , K. Rostem† , S. Withington

Measurements of surface temperature fields are used to determine the heat transfer by conduction and convection from an inhomogeneously heated metallic tube into environment. For most of the here reported measurements we use a low-cost…

Applied Physics · Physics 2019-09-05 Samuel Jankových , Peter Bokes

Land Surface Temperature (LST) plays a key role in climate monitoring, urban heat assessment, and land-atmosphere interactions. However, current thermal infrared satellite sensors cannot simultaneously achieve high spatial and temporal…

Machine Learning · Computer Science 2025-12-24 Sofiane Bouaziz , Adel Hafiane , Raphael Canals , Rachid Nedjai

Thermal emission is the process by which all objects at non-zero temperatures emit light, and is well-described by the classic Planck, Kirchhoff, and Stefan-Boltzmann laws. For most solids, the thermally emitted power increases…

Raman thermometry is advantageous for measuring the thermal transport of low-dimensional materials due to its non-contact nature. Transient Raman methods have improved the accuracy of steady-state Raman thermometry by removing the need for…

Applied Physics · Physics 2024-07-02 Taocheng Yu , Yilu Fu , Chenguang Fu , Tiejun Zhu , Wee-Liat Ong

Thermal Interface Materials (TIMs) are widely used in electronic packaging. Increasing power density and limited assembly space pose high demands on thermal management. Large cooling surfaces need to be covered efficiently. When joining the…

Machine Learning · Computer Science 2024-10-28 Simon Baeuerle , Marius Gebhardt , Jonas Barth , Andreas Steimer , Ralf Mikut

Thermophotovoltaics (TPVs) have the potential to exhibit higher power conversion efficiencies than traditional photovoltaics (PVs), with a broad range of applicability from waste recovery systems to aerospace solutions. They operate by…

Applied Physics · Physics 2024-10-29 Declan Kopper , Marina S. Leite

We present a detailed thermal and structural analysis of a 2m class solar telescope mirror which is subjected to a varying heat load at an observatory site. A 3-dimensional heat transfer model of the mirror takes into account the heating…

Instrumentation and Methods for Astrophysics · Physics 2015-05-27 Ravinder K Banyal , B. Ravindra

We present a method for modelling star-forming clouds that combines two different models of the thermal evolution of the interstellar medium (ISM). In the combined model, where the densities are low enough that at least some part of the…

Solar and Stellar Astrophysics · Physics 2015-03-19 Matthew R. Bate , Eric R. Keto

Photophoretic force due to the optically-induced thermal effect provides an effective way to manipulate the light-absorbing particles suspended in ambient gases. However, how this force temporally responds to the intensity modulation of the…

Optics · Physics 2019-03-01 Gui-hua Chen , Lin He , Mu-ying Wu , Yong-qing Li

Model fitting is frequently used to determine the shape of galaxies and the point spread function, for examples, in weak lensing analyses or morphology studies aiming at probing the evolution of galaxies. However, the number of parameters…

Cosmology and Nongalactic Astrophysics · Physics 2012-10-03 Guoliang Li , Bo Xin , Wei Cui