Published October 23, 2023 | Version v2.1
Software Open

lmcastellanos/Deep-learning-dynamical-latencies-for-the-analysis-and-reduction-of-combustion-chemistry-kinetics: v2.1

Authors/Creators

Description

This release refers to a code repository that includes the datasets and models used in the analysis of potential applications of time-lag autoencoders for the analysis of combustion chemistry kinetics.

These codes accompany a paper submitted to the journal "Physics of Fluids".

Files

lmcastellanos/Deep-learning-dynamical-latencies-for-the-analysis-and-reduction-of-combustion-chemistry-kinetics-v2.1.zip

Files (161.7 MB)

Additional details

Related works

Is supplement to
Software: https://github.com/lmcastellanos/Deep-learning-dynamical-latencies-for-the-analysis-and-reduction-of-combustion-chemistry-kinetics/tree/v2.1 (URL)