Fast QoI-Oriented Bayesian Experimental Design with Unified Neural Response Surfaces for Kinetic Uncertainty Reduction
In the realm of combustion and reacting flow modeling, the calibration of the kinetic model
parameters often relies on experimental data. However, not all data obtained under different …
parameters often relies on experimental data. However, not all data obtained under different …
Numerical and experimental investigation of single and multi-injection ignition of F-24/ATJ blends
Conventional jet fuels can be blended with other fuels, including sustainable aviation fuels
(SAFs) to provide fuel flexibility and to reduce emissions. However, differences in fuel …
(SAFs) to provide fuel flexibility and to reduce emissions. However, differences in fuel …
[HTML][HTML] Analysis of constraining a chemical kinetic mechanism using hybrid response surface networks
This paper presents an artificial intelligence based analysis for fast development of jet fuel
chemical kinetic mechanisms through optimal constraining of parameters. The need to …
chemical kinetic mechanisms through optimal constraining of parameters. The need to …
Numerical Modeling of Jet Fuel Impingement and Ensuing Combustion using a Superheated Ignition Assistant
Energy-assisted ignition of liquid fuel sprays using superheated ignition assistant (IA)
devices is a promising option for achieving consistently repeatable ignition of low-cetane …
devices is a promising option for achieving consistently repeatable ignition of low-cetane …
Development of a Gasoline and Jet Fuel Blend Kinetic Mechanism using Hybrid Response Surface Networks
Understanding sustainable aviation fuels is becoming increasingly important as there is a
significant push to introduce them into the current fuel infrastructure. This study presents a …
significant push to introduce them into the current fuel infrastructure. This study presents a …
Bayesian Inference and Experimental Design of Combustion Kinetic Models
H Chen - 2024 - dspace.mit.edu
In combustion kinetic model calibration, researchers usually use experimental data to
reduce the uncertainty of kinetic parameters, and Bayesian inference is the most common …
reduce the uncertainty of kinetic parameters, and Bayesian inference is the most common …
Optimization Algorithm for Rural New Public Cultural Space Governance Structure Based on Complex Network Analysis
W Ding, BP Atayan - International Conference on Artificial Intelligence for …, 2024 - Springer
The purpose of this study is to optimize the governance structure of rural public cultural
space and improve its service efficiency. Through field investigation and data collection, the …
space and improve its service efficiency. Through field investigation and data collection, the …
Optimization Algorithm for Rural New Public Cultural Space Governance Structure Based
W Ding, BP Atayan - … Intelligence for Future Society: Proceedings of the … - books.google.com
The purpose of this study is to optimize the governance structure of rural public cultural
space and improve its service efficiency. Through field investigation and data collection, the …
space and improve its service efficiency. Through field investigation and data collection, the …