[HTML][HTML] Towards predicting liquid fuel physicochemical properties using molecular dynamics guided machine learning models
Accurate determination of fuel properties of complex mixtures over a wide range of pressure
and temperature conditions is essential to utilizing alternative fuels. The present work aims …
and temperature conditions is essential to utilizing alternative fuels. The present work aims …
Prediction of liquid fuel properties using machine learning models with Gaussian processes and probabilistic conditional generative learning
RSM Freitas, ÁPF Lima, C Chen, FA Rochinha… - arXiv preprint arXiv …, 2021 - arxiv.org
Accurate determination of fuel properties of complex mixtures over a wide range of pressure
and temperature conditions is essential to utilizing alternative fuels. The present work aims …
and temperature conditions is essential to utilizing alternative fuels. The present work aims …
[PDF][PDF] Machine learning models for characterizing macroscopic properties of diesel/biodiesel surrogate fuels
RSM Freitas, APF Lima… - XLII Ibero-Latin …, 2021 - publicacoes.softaliza.com.br
Machine learning models for characterizing macroscopic properties of diesel/ biodiesel
surrogate fuels Page 1 Machine learning models for characterizing macroscopic properties of …
surrogate fuels Page 1 Machine learning models for characterizing macroscopic properties of …