Fast uncertainty reduction of chemical kinetic models with complex spaces using hybrid response-surface networks
Response-surface (RS) surrogate approaches permit efficient inverse uncertainty
quantification (UQ) of combustion kinetic models, wherein the uncertainty of reaction rates is …
quantification (UQ) of combustion kinetic models, wherein the uncertainty of reaction rates is …
Benchmarking Strategies of Sustainable Process Chemistry Development: Human-Based, Machine Learning, and Quantum Mechanics
AF Almeida, S Branco, LCR Carvalho… - … Process Research & …, 2024 - ACS Publications
This study benchmarks diverse strategies in sustainable process chemistry development,
ranging from human subject matter expertise to advanced computational models, including …
ranging from human subject matter expertise to advanced computational models, including …
[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 …
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 …
Development of Kinetic Mechanisms for Varied CN Controlled Fuels using Response Surface Surrogate Modeling
View Video Presentation: https://doi. org/10.2514/6.2023-1487. vid Data-driven chemical
kinetic mechanisms have been developed for efficient simulations of jet fuel combustion …
kinetic mechanisms have been developed for efficient simulations of jet fuel combustion …