Papers
Topics
Authors
Recent
Detailed Answer
Quick Answer
Concise responses based on abstracts only
Detailed Answer
Well-researched responses based on abstracts and relevant 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 74 tok/s
Gemini 2.5 Pro 39 tok/s Pro
GPT-5 Medium 16 tok/s Pro
GPT-5 High 13 tok/s Pro
GPT-4o 86 tok/s Pro
Kimi K2 186 tok/s Pro
GPT OSS 120B 446 tok/s Pro
Claude Sonnet 4 36 tok/s Pro
2000 character limit reached

A Navier-Stokes asymptotic preserving Direct Simulation Monte Carlo method for multi-species gas flows (2410.20322v1)

Published 27 Oct 2024 in physics.flu-dyn

Abstract: This paper introduces a new asymptotic-preserving Monte Carlo (APMC) method for simulating multi-species gas flows. This method decomposes the collision operator of the traditional APMC methods into macro and micro collision parts: the macro collision part corresponds to the first-order Chapman-Enskog (CE) expansion, solved with a second-order scheme; In contrast, the micro collision part represents the reminder of high-order nonequilibrium terms, calculated following the traditional APMC methods. As a result, this new APMC method preserves Navier-Stokes asymptotics and second-order accuracy in the fluid limit, while maintaining the advantage of the traditional APMC methods in the kinetic limit. Therefore, it is suitable for multi-species gas flows that span multiple scales due to superior resolution and accuracy in both continuum and rarefied flow regimes. Moreover, directly constructed based on the DSMC collision solver, this new APMC method circumvents the complexities of modeling and computing kinetic models. This feature makes it easily applicable to multi-species gas flows with intricate collision models and more than two species. Finally, a coupling scheme with DSMC has been developed to extend the applicability of this new APMC method to multi-species gas flows with disparate masses.

Citations (1)

Summary

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

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

Collections

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

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

Continue Learning

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

Authors (1)

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