Latest Articles for Thermal Management

Research improves accuracy of lattice thermal conductivity predictions using molecular dynamics and machine learning.

Study reveals how tiny movements in graphene layers affect heat exchange efficiency.

A new framework studies heat movement in insulators for improved material efficiency.

This study examines how wall shapes affect nonlinear acoustic wave behavior.

Research focuses on optimizing heat control in quantum thermal devices for various applications.

New findings reveal how coupled oscillators affect heat transport in nanoscale systems.

New methods enhance predictions for composite materials in various industries.

Study reveals insights into materials with inclusions affecting heat and electricity flow.

Researchers use magnetic fields to improve heat management in tiny devices.

TbSi and TbSiGe exhibit unique magnetic behaviors useful for cooling technology.

Exploring heat conduction models and the implications of the Guyer-Krumhansl equation.

This article examines how rough surfaces affect phonon behavior in graphene.

Study on airflow and heat transfer in high-speed compressor systems.

Examining how self-heating impacts performance in advanced electronic devices.

New designs reduce thermal noise, enhancing quantum information transfer.

Study highlights Joule heating's role in heat transfer and entropy generation in MHD flows.

A new model enhances turbulence predictions in hypersonic conditions with cold-wall effects.

Research on double-null configurations offers new insights for managing heat exhaust in fusion reactors.

Exploring the complexities and applications of multiperforated plates in various fields.

A new method estimates power use and heat in CNN accelerators for better performance.

Study reveals insights into heat and electricity movement in 2D materials.

Research reveals how defects in MoS2 affect its heat conductivity, enhancing device performance.

An exploration of bubble movement affected by temperature and surfactants in unique fluids.

Discover how small measurable sets impact observability in the heat equation.

Exploring superradiance and its implications in superconducting materials.

Study of charge density waves reveals new thermal behaviors in materials.

Researchers explore how spin chains behave under different conditions of temperature and interaction.

Researchers combine machine learning and DFT to discover efficient thermoelectric materials.

Research shows carbide interlayers can enhance heat transfer in electronics.

Exploring the synergy of normal metals and magnetic insulators in spintronics.

Machine learning enhances the prediction of thermal conductivity in materials, saving time and resources.

Researchers explore quantum dots and the Kondo effect for better energy conversion.

Research reveals impressive thermal conductivity of monolayer beryllene, surpassing bulk materials.

Cobalt monosilicide exhibits unique electrical and thermal behaviors influenced by its structure.

Research on CsCu Se reveals insights into thermal conductivity and heat transport.

Researchers investigate thermal properties of new carbon material, Sun-GY.

Exploring the behavior of double quantum dots in thermoelectric applications.

A novel technique addresses temperature measurement challenges in RRAM devices for neuromorphic computing.

New method enhances power management in multicore systems by refining energy use estimation.

Research shows pressure can improve thermoelectric material performance, specifically chalcopyrites.