4.5 Article

Acceleration of Chemical Kinetics Computation with the Learned Intelligent Tabulation (LIT) Method

Related references

Note: Only part of the references are listed.
Article Computer Science, Artificial Intelligence

ChemNODE: A neural ordinary differential equations framework for efficient chemical kinetic solvers

Opeoluwa Owoyele et al.

Summary: A novel neural ordinary differential equations approach, called ChemNODE, is proposed for modeling chemical kinetics. By integrating chemical source terms during training and adjusting neural network weights to minimize the difference between predicted and ground-truth solutions, ChemNODE accurately captures chemical kinetic behavior.

ENERGY AND AI (2022)

Article Thermodynamics

Efficient bifurcation and tabulation of multi-dimensional combustion manifolds using deep mixture of experts: An a priori study

Opeoluwa Owoyele et al.

Summary: This study introduces an approach for autonomously bifurcating turbulent combustion manifolds using specialized artificial neural networks (ANNs) to divide regression tasks. Validation shows that this method reduces errors, improves accuracy, and decreases network size. Investigating the impact of the number of experts on inference speed reveals that increasing the number of experts significantly reduces inference time.

PROCEEDINGS OF THE COMBUSTION INSTITUTE (2021)

Article Computer Science, Artificial Intelligence

AutoML: A survey of the state-of-the-art

Xin He et al.

Summary: Deep learning techniques have achieved remarkable results in various tasks, but building a high-quality DL system requires human expertise. Automated machine learning is a promising solution that is currently being extensively researched.

KNOWLEDGE-BASED SYSTEMS (2021)

Article Thermodynamics

Training convolutional neural networks to estimate turbulent sub-grid scale reaction rates

Corentin J. Lapeyre et al.

COMBUSTION AND FLAME (2019)

Article Chemistry, Physical

Application of artificial neural networks (ANN) for modeling of industrial hydrogen plant

Akbar Zamaniyan et al.

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY (2013)

Article Thermodynamics

A path flux analysis method for the reduction of detailed chemical kinetic mechanisms

Wenting Sun et al.

COMBUSTION AND FLAME (2010)

Review Thermodynamics

Toward accommodating realistic fuel chemistry in large-scale computations

Tianfeng Lu et al.

PROGRESS IN ENERGY AND COMBUSTION SCIENCE (2009)

Article Thermodynamics

Reduced chemistry for hydrogen and methanol premixed flames via RCCE

W. P. Jones et al.

COMBUSTION THEORY AND MODELLING (2007)

Article Thermodynamics

An automatic procedure for the simplification of chemical kinetic mechanisms based on CSP

Mauro Valorani et al.

COMBUSTION AND FLAME (2006)

Article Thermodynamics

A self-organizing-map approach to chemistry representation in combustion applications

JA Blasco et al.

COMBUSTION THEORY AND MODELLING (2000)