↓ Skip to main content
What is this page? Embed badge

Machine Learning and Its Application to Reacting Flows

Overview of attention for book
Machine Learning and Its Application to Reacting Flows
Springer International Publishing

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction
  3. Altmetric Badge
    Chapter 2 Machine Learning Techniques in Reactive Atomistic Simulations
  4. Altmetric Badge
    Chapter 3 A Novel In Situ Machine Learning Framework for Intelligent Data Capture and Event Detection
  5. Altmetric Badge
    Chapter 4 Machine-Learning for Stress Tensor Modelling in Large Eddy Simulation
  6. Altmetric Badge
    Chapter 5 Machine Learning for Combustion Chemistry
  7. Altmetric Badge
    Chapter 6 Deep Convolutional Neural Networks for Subgrid-Scale Flame Wrinkling Modeling
  8. Altmetric Badge
    Chapter 7 Machine Learning Strategy for Subgrid Modeling of Turbulent Combustion Using Linear Eddy Mixing Based Tabulation
  9. Altmetric Badge
    Chapter 8 On the Use of Machine Learning for Subgrid Scale Filtered Density Function Modelling in Large Eddy Simulations of Combustion Systems
  10. Altmetric Badge
    Chapter 9 Reduced-Order Modeling of Reacting Flows Using Data-Driven Approaches
  11. Altmetric Badge
    Chapter 10 AI Super-Resolution: Application to Turbulence and Combustion
  12. Altmetric Badge
    Chapter 11 Machine Learning for Thermoacoustics
Attention for Chapter 8: On the Use of Machine Learning for Subgrid Scale Filtered Density Function Modelling in Large Eddy Simulations of Combustion Systems
Altmetric Badge

Readers on

mendeley
2 Mendeley
Summary
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
On the Use of Machine Learning for Subgrid Scale Filtered Density Function Modelling in Large Eddy Simulations of Combustion Systems
Chapter number 8
Book title
Machine Learning and Its Application to Reacting Flows
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-16248-0_8
Book ISBNs
978-3-03-116247-3, 978-3-03-116248-0
Authors

Iavarone, S., Yang, H., Li, Z., Chen, Z. X., Swaminathan, N.

View on publisher site
Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 100%
Readers by discipline Count As %
Engineering 2 100%

This page is provided by Altmetric.