Combustion, chemistry, and carbon neutrality
K Kohse-Höinghaus - Chemical Reviews, 2023 - ACS Publications
Combustion is a reactive oxidation process that releases energy bound in chemical
compounds used as fuels─ energy that is needed for power generation, transportation …
compounds used as fuels─ energy that is needed for power generation, transportation …
[HTML][HTML] Towards fuel composition and properties from Two-dimensional gas chromatography with flame ionization and vacuum ultraviolet spectroscopy
Abstract Already low volume (< 1mL) test methods facilitate the development of sustainable
aviation fuel platforms and higher fidelity computational methods. Here a novel technique …
aviation fuel platforms and higher fidelity computational methods. Here a novel technique …
Derived cetane number prediction of jet fuels and their functional group surrogates using liquid phase infrared absorption
Derived cetane number (DCN) is an important fuel property relevant to ignition in
compression ignition engines. The measurement of IR spectra of neat liquid fuels along with …
compression ignition engines. The measurement of IR spectra of neat liquid fuels along with …
Electrospun polycaprolactone/ZnO nanocomposite membranes with high antipathogen activity
ES Permyakova, AM Manakhov… - Polymers, 2022 - mdpi.com
The spread of bacterial, fungal, and viral diseases by airborne aerosol flows poses a serious
threat to human health, so the development of highly effective antibacterial, antifungal and …
threat to human health, so the development of highly effective antibacterial, antifungal and …
Neural network approach to response surface development for reaction model optimization and uncertainty minimization
We examine the state-of-the-art neural network (NN) approach and its flexible
implementations in combustion reaction model uncertainty quantification (UQ), optimization …
implementations in combustion reaction model uncertainty quantification (UQ), optimization …
[HTML][HTML] Synthetic aromatic kerosene property prediction improvements with isomer specific characterization via GCxGC and vacuum ultraviolet spectroscopy
This research explores an advanced method of fuel composition determination and builds
upon typical hydrocarbon group type analyses performed with two-dimensional gas …
upon typical hydrocarbon group type analyses performed with two-dimensional gas …
A Monte Carlo resampling based multiple feature-spaces ensemble (MFE) strategy for consistency-enhanced spectral variable selection
Background Variable selection has gained significant attention as a means to enhance
spectroscopic calibration performance. However, existing methods still have certain …
spectroscopic calibration performance. However, existing methods still have certain …
Evaluation of chemical functional group composition of jet fuels using two-dimensional gas chromatography
The growing interest in fuel property prediction models for simplification of fuel
characterization has led to techniques for evaluating the chemical functional group …
characterization has led to techniques for evaluating the chemical functional group …
Predicting octane number from species profiles: A deep learning model
Recognizing that the calibration of octane number (ON) of a fuel by standard experimental
testings is often challenging due to the lack of samples and the complexity of the …
testings is often challenging due to the lack of samples and the complexity of the …
Predicting the physical and chemical properties of sustainable aviation fuels using elastic-net-regularized linear models based on extended-wavelength FTIR spectra
A Fourier transform infrared (FTIR) spectra-based prescreening approach was developed for
estimating nine important physical and chemical properties of sustainable aviation fuels …
estimating nine important physical and chemical properties of sustainable aviation fuels …