Papers
Topics
Authors
Recent
AI Research Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 78 tok/s
Gemini 2.5 Pro 50 tok/s Pro
GPT-5 Medium 15 tok/s Pro
GPT-5 High 15 tok/s Pro
GPT-4o 92 tok/s Pro
Kimi K2 169 tok/s Pro
GPT OSS 120B 469 tok/s Pro
Claude Sonnet 4 37 tok/s Pro
2000 character limit reached

Fluctuation-induced friction and heat transfer at the water-multilayer graphene interface (2112.13752v4)

Published 27 Dec 2021 in cond-mat.mes-hall

Abstract: Calculations of friction and heat transfer at the water-multilayer graphene interface using the theories of phononic and radiative friction and heat transfer are presented. The phononic contributions to friction and heat transfer are many orders of magnitude larger than the radiative contributions. Phononic friction and heat transfer slightly increase with an increase in the number of graphene layers $N$ and reach saturation at $N>5$, which is associated with an increase in the phonon transmission coefficient through the interface and a finite phonon mean free path in the direction perpendicular to the surface. The radiative contributions are almost independent on $N$, since for distance between water and graphene of the order of the interlayer distance in graphene the interaction of evanescent waves with multilayer graphene is limited by the first graphene layer. The results for the phonon contributions agree with the results obtained for the Kapitsa resistance using MD simulation and with the experimental data obtained for the friction coefficients at the water-monolayer graphene interface. The potential difference leads to a strong increase in the radiative contributions to friction and heat transfer, which become approximately an order of magnitude greater than the phononic contributions at a potential difference of $\sim 10$V.

Summary

We haven't generated a summary for this paper yet.

Lightbulb On Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

Authors (1)

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

Don't miss out on important new AI/ML research

See which papers are being discussed right now on X, Reddit, and more:

“Emergent Mind helps me see which AI papers have caught fire online.”

Philip

Philip

Creator, AI Explained on YouTube