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This repository contains the set of data shown in the paper "Unsupervised Data-Driven Reconstruction of Molecular Motifs in Simple to Complex Dynamic Micelles", published on The Journal of Physical Chemistry B (DOI:10.1021/acs.jpcb.2c08726).
Coarse-Grained Molecular-Dynamics, Self-Assembled Amphiphiles, Reconstruction of Molecular Motifs, Reconstruction of Molecular Motifs, Unsupervised Machine Learning
Coarse-Grained Molecular-Dynamics, Self-Assembled Amphiphiles, Reconstruction of Molecular Motifs, Reconstruction of Molecular Motifs, Unsupervised Machine Learning
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 5 |

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