2019
DOI: 10.1021/acs.energyfuels.8b04082
|View full text |Cite
|
Sign up to set email alerts
|

Mesoscale Simulation for Heavy Petroleum System Using Structural Unit and Dissipative Particle Dynamics (SU–DPD) Frameworks

Abstract: In this paper, we present a mesoscale simulation method for heavy petroleum combing structural unit (SU) and dissipative particle dynamics (DPD). We proposed 16 basic SUs, which represent the basic structural fragments for heavy petroleum molecules. The SUs were then used as beads in DPD simulation. The process for bead partition and DPD parameter calculation were described. The presented method links the molecular compositional modeling with mesoscale modeling via a chemical-defined mapping process. The equil… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
37
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 39 publications
(37 citation statements)
references
References 78 publications
0
37
0
Order By: Relevance
“…[1] FNAs are DNA architecture with high structural stability and designable mechanical rigidity, which are suitable for organization of higher-ordered nanocomplexes and nanodevices ( Figure B). [2] As examples, we employed FNAs to engineer the biosensing interface and cytoplasmic interface for molecular computation ( Figure C), [3] diagnosis and imaging (Figure D). [4] Favorite Chemistry…”
Section: Framework Nucleic Acids-guided Single-molecule Analysismentioning
confidence: 99%
See 4 more Smart Citations
“…[1] FNAs are DNA architecture with high structural stability and designable mechanical rigidity, which are suitable for organization of higher-ordered nanocomplexes and nanodevices ( Figure B). [2] As examples, we employed FNAs to engineer the biosensing interface and cytoplasmic interface for molecular computation ( Figure C), [3] diagnosis and imaging (Figure D). [4] Favorite Chemistry…”
Section: Framework Nucleic Acids-guided Single-molecule Analysismentioning
confidence: 99%
“…Single cell analysis contributes to the understanding of the cell heterogeneity, genetic regulatory, the molecular mechanism of disease development, and a series of single cell approaches such as the surface plasma resonance-electrochemical imaging ( Figure C), sequence-encoded amplicon (SeqEA) single RNA fluorescence imaging ( Figure D) and genome editing techniques, etc., were developed for the high-through spatial distribution and expression profiling of mRNA, cellular membrane receptors, etc., in single cell, [2] which provided powerful tools for the revelation of the relationship between the biomolecules in single cell, as well as the human transcriptome, benefiting clinical diagnostics and precision medicine in single cell level.…”
Section: Graphene Based Biosensing and Single Cell Analysismentioning
confidence: 99%
See 3 more Smart Citations