Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Theoretical modeling and machine learning-based data processing workflows in comprehensive two-dimensional gas chromatography—A review
In recent years, comprehensive two-dimensional gas chromatography (GC× GC) has been
gradually gaining prominence as a preferred method for the analysis of complex samples …
gradually gaining prominence as a preferred method for the analysis of complex samples …
Perspective on Fuel Property Blending Rules for Design and Qualification of Aviation Fuels: A Review
The push toward sustainable aviation fuels (SAFs) is intensifying in response to global
decarbonization efforts. This review discusses the development and assessment of …
decarbonization efforts. This review discusses the development and assessment of …
Comprehensive two-dimensional gas chromatography: a universal method for composition-based prediction of emission characteristics of complex fuels
J Melder, J Zinsmeister, T Grein, S Jürgens… - Energy & …, 2023 - ACS Publications
Liquid fuels such as gasoline, kerosene, or diesel exhibit a very complex chemical
composition. The transition toward a sustainable world requires the development of novel …
composition. The transition toward a sustainable world requires the development of novel …
Quantifying isomeric effects: A key factor in aviation fuel assessment and design
Isomeric structural differences can profoundly influence hydrocarbon properties of
importance to aviation turbine fuels. This is particularly true for alternative fuels that often …
importance to aviation turbine fuels. This is particularly true for alternative fuels that often …
Numerical Approaches to Determine Cetane Number of Hydrocarbons and Oxygenated Compounds, Mixtures, and their Blends
B Creton, N Brassart, A Herbaut, M Matrat - Energy & Fuels, 2024 - ACS Publications
In the present work, we report the development and use of models to predict the cetane
number of hydrocarbons and oxygenated compounds, mixtures, and their blends. The study …
number of hydrocarbons and oxygenated compounds, mixtures, and their blends. The study …
Prediction of critical micelle concentration for per-and polyfluoroalkyl substances
B Creton, E Barraud, C Nieto-Draghi - SAR and QSAR in …, 2024 - Taylor & Francis
In this study, we focus on the development of Quantitative Structure-Property Relationship
(QSPR) models to predict the critical micelle concentration (CMC) for per-and polyfluoroalkyl …
(QSPR) models to predict the critical micelle concentration (CMC) for per-and polyfluoroalkyl …
Comprehensive accurate prediction of critical jet fuel properties with multiple machine learning models
Y Shao, M Yu, M Zhao, K Xue, X Zhang, JJ Zou… - Chemical Engineering …, 2025 - Elsevier
Quantitative structure–property relationship (QSPR) model development driven by emerging
machine learning (ML) shows promise for accelerating design and preparation of jet fuels …
machine learning (ML) shows promise for accelerating design and preparation of jet fuels …
Prediction of hydrocarbons ignition performances using machine learning modeling
This study presents a computational methodology for determining the Derived Cetane
Number (DCN) of practical aviation fuels. The proposed approach integrates a novel …
Number (DCN) of practical aviation fuels. The proposed approach integrates a novel …
Screening and evaluation of biomass upgrading strategies for sustainable transportation fuel production with biomass-derived volatile fatty acids
Biomass conversion to fuels and chemicals is crucial to decarbonization, but choosing an
advantageous upgrading pathway out of many options is challenging. Rigorously evaluating …
advantageous upgrading pathway out of many options is challenging. Rigorously evaluating …
Explainable machine learning assisted design of tailor-made fuels using conjoint fingerprints
Y Chen, Z Lu, Z Yao, B Li, X Zhang, H Wang… - Energy Conversion and …, 2024 - Elsevier
This work presents an advanced computer-aided molecular design framework by
considering the molecular structure of fuels as the fundamental design degree of freedom …
considering the molecular structure of fuels as the fundamental design degree of freedom …