Bayesian calibration with summary statistics for the prediction of xenon diffusion in UO2 nuclear fuel
The evolution and release of fission gas impacts the performance of UO 2 nuclear fuel. We
have created a Bayesian framework to calibrate a novel model for fission gas transport that …
have created a Bayesian framework to calibrate a novel model for fission gas transport that …
How many data points and how large an R-squared value is essential for Arrhenius plots?
Arrhenius plots estimate the apparent activation energy (E a) of catalytic reactions. The R-
squared value (r 2) often accompanies the Arrhenius plot to support its validity. However, no …
squared value (r 2) often accompanies the Arrhenius plot to support its validity. However, no …
Iterative model-based experimental design for efficient uncertainty minimization of chemical mechanisms
The uncertainties of chemical kinetic model parameters induce uncertainties in model
predictions. Automatic optimization and uncertainty minimization techniques have been …
predictions. Automatic optimization and uncertainty minimization techniques have been …
A Bayesian optimization framework for the control of combustion instability of a bluff-body stabilized combustor
Control of combustion instability for a realistic gas-turbine combustor is challenging. This
work aims to establish an efficient numerical framework for optimization to improve the …
work aims to establish an efficient numerical framework for optimization to improve the …
Alignment and dissociation of electronically excited molecular hydrogen with intense laser fields
The dissociation of aligned, electronically excited H2 (E, F 1 Σ g+), followed by the ionisation
of the produced H atom, is analysed via the velocity mapped imaging technique. The …
of the produced H atom, is analysed via the velocity mapped imaging technique. The …
[PDF][PDF] Combustion kinetic modeling and fuel design based on uncertainty quantification and machine learning methods
FA vom Lehn - 2022 - scholar.archive.org
The required reduction of green-house gas emissions in the transport sector motivates the
use of alternative, potentially CO2-neutral fuels. However, the efficient identification of …
use of alternative, potentially CO2-neutral fuels. However, the efficient identification of …
Inference and combination of missing data sets for the determination of H2O2 thermal decomposition rate uncertainty
The thermal decomposition of H 2 O 2 is an important process in hydrocarbon combustion,
playing a particularly crucial role in providing a source of radicals at high pressure where it …
playing a particularly crucial role in providing a source of radicals at high pressure where it …
燃焼分野への機械学習手法の応用と燃焼不安定性ダイナミクスの研究
中谷辰爾, 津江光洋 - 日本燃焼学会誌, 2021 - jstage.jst.go.jp
抄録 Applications of machine learning methods to combustion science and technology were
reviewed especially on the papers introduced in seminars of Tsue-Nakaya laboratory in the …
reviewed especially on the papers introduced in seminars of Tsue-Nakaya laboratory in the …