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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
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    Chapter 2 Machine Learning Techniques in Reactive Atomistic Simulations
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    Chapter 3 A Novel In Situ Machine Learning Framework for Intelligent Data Capture and Event Detection
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    Chapter 4 Machine-Learning for Stress Tensor Modelling in Large Eddy Simulation
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    Chapter 5 Machine Learning for Combustion Chemistry
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    Chapter 6 Deep Convolutional Neural Networks for Subgrid-Scale Flame Wrinkling Modeling
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    Chapter 7 Machine Learning Strategy for Subgrid Modeling of Turbulent Combustion Using Linear Eddy Mixing Based Tabulation
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    Chapter 8 On the Use of Machine Learning for Subgrid Scale Filtered Density Function Modelling in Large Eddy Simulations of Combustion Systems
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    Chapter 9 Reduced-Order Modeling of Reacting Flows Using Data-Driven Approaches
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    Chapter 10 AI Super-Resolution: Application to Turbulence and Combustion
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    Chapter 11 Machine Learning for Thermoacoustics
Attention for Chapter 3: A Novel In Situ Machine Learning Framework for Intelligent Data Capture and Event Detection
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2 Mendeley
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Chapter title
A Novel In Situ Machine Learning Framework for Intelligent Data Capture and Event Detection
Chapter number 3
Book title
Machine Learning and Its Application to Reacting Flows
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-16248-0_3
Book ISBNs
978-3-03-116247-3, 978-3-03-116248-0
Authors

Shead, T. M., Tezaur, I. K., Davis IV, W. L., Carlson, M. L., Dunlavy, D. M., Parish, E. J., Blonigan, P. J., Tencer, J., Rizzi, F., Kolla, H.

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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 %
Student > Ph. D. Student 1 50%
Researcher 1 50%
Readers by discipline Count As %
Computer Science 1 50%
Materials Science 1 50%

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