Thermal Conductivity

Overview

Thermal conductivity is the property of a material that describes its ability to conduct heat, quantifying how readily thermal energy transfers through a substance from regions of higher temperature to regions of lower temperature. Research published in this journal addresses thermal conductivity across diverse applications and material systems. Studies have examined the thermal properties of nanofluids, specifically polyvinylpyrrolidone-coated silver nanoparticle suspensions designed for photovoltaic-thermal collector applications, where efficient heat transfer is essential for energy conversion systems. Additional investigations have explored thermal behavior in nanoliquids under complex conditions including Marangoni convection, chemical reactions, and thermal radiation effects, relevant to advanced fluid dynamics applications. The journal has also published work on thermal management in composite materials, including computational fluid dynamics simulations of composite shells subjected to extreme temperatures exceeding 3000 degrees Celsius, and experimental analyses of temperature increases during dental composite photopolymerization as influenced by light sources and material thickness. Understanding thermal conductivity remains critical for optimizing energy systems, developing advanced materials capable of withstanding extreme thermal environments, ensuring safe medical procedures, and advancing nanotechnology applications where precise thermal control influences performance and functionality.

Research published in this journal

6 peer-reviewed articles, ranked by relevance. Each links to its DOI.

How this research is being cited

The 6 articles above have been cited 229 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.

• Computational analysis of entropy in a chemically reactive micropolar fluid flow within a magnetically influenced microchannel: optimal homotopy analysis method
  2026 · Multiscale and Multidisciplinary Modeling, Experiments and Design
• Modeling water quality assessment-based MHD flow with Forchheimer and chemical reaction effects over a stretching melting surface via RSM
  2026 · Modeling Earth Systems and Environment
• Analysis of Nanofluid Through Porous Media with Darcy–Forchheimer and Mass Suction Effects: Keller Box Numerical Simulations
  M. Z. Kiyani et al. · 2025 · Journal of Nanofluids
• Triple diffusion and three-dimensional mixed convection of Sutterby nanofluids over a stretching Riga plate with Cattaneo–Christov heat flux: prediction using artificial neural networks
  Sameh E. Ahmed et al. · 2025 · Multiscale and Multidisciplinary Modeling Experiments and Design
• Intelligent Computing Technique to Analyze the Two-Phase Flow of Dusty Trihybrid Nanofluid with Cattaneo-Christov Heat Flux Model Using Levenberg-Marquardt Neural-Networks
  Cyrus Raza Mirza et al. · 2025 · Case Studies in Thermal Engineering
• Numerical investigation of an axisymmetric, dissipative, and unstable micropolar fluid flow over a stretched Riga plate incorporating mixed convection and chemical reaction
  T. Swapna et al. · 2025 ·
• Intelligent Computing Technique to Analyze the Two-Phase Flow of Dusty Trihybrid Nanofluid with Cattaneo-Christov Heat Flux Model Using Levenberg-Marquardt Neural-Networks
  2025 · Case Studies in Thermal Engineering
• Triple diffusion and three-dimensional mixed convection of Sutterby nanofluids over a stretching Riga plate with Cattaneo–Christov heat flux: prediction using artificial neural networks
  2025 · Multiscale and Multidisciplinary Modeling Experiments and Design

A sample of recent works citing this journal's research on Thermal Conductivity, linking to each citing work.

This page summarises published research for orientation; it is not medical or professional advice.

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