Molecular Reconstruction of Naphtha via Limited Bulk Properties: Methods and Comparisons
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DOI: 10.1021/acs.iecr.9b03290
Abstract: Naphtha is an important feedstock in producing both fuels and chemicals. To optimize the product distribution of the naphtha conversion processes, it is necessary to obtain the molecular composition of the naphtha feedstock. Because of… read more here.
Keywords: bulk properties; naphtha; reconstruction naphtha; molecular reconstruction ... See more keywords
CryoEMNet driven symmetry-aware molecular reconstruction through deep learning enhanced electron microscopy
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DOI: 10.1038/s41598-025-18065-z
Abstract: CryoEMNet introduces a symmetry-aware deep learning framework for molecular reconstruction in cryo-electron microscopy (cryo-EM), achieving high-resolution and structurally consistent 3D reconstructions. By incorporating molecular symmetry constraints within deep learning-based reconstruction, CryoEMNet effectively mitigates challenges associated… read more here.
Keywords: deep learning; cryoemnet; reconstruction; molecular reconstruction ... See more keywords
Molecular reconstruction of naphtha by maximum information entropy method
Sign Up to like & getrecommendations! Published in 2019 at "Petroleum Science and Technology"
DOI: 10.1080/10916466.2018.1550496
Abstract: Abstract Naphtha is the feedstock for steam cracking and catalytic reforming of aromatics. Based on the molecular library and 42 groups of practical data including the properties of density, potential aromatic content, the weight fractions… read more here.
Keywords: information entropy; molecular reconstruction; maximum information; naphtha ... See more keywords