Views provided by UsageCounts
Publication information Kim, J., Martin, O. J. F., Probing Surfactant Bilayer Interactions by Tracking Optically Trapped Single Nanoparticles. Adv. Mater. Interfaces 2023, 10, 2201793. https://doi.org/10.1002/admi.202201793 'Data manual.html': This notebook explains the data structure and how to visualize the data using Python 3. 'rawdata.zip': The dataset containing all the video recordings and trajectories. 'single-particle_trajectory.zip': It contains a specific particle trajectory used in Figures 2 and 4. It includes two consecutive video recordings of the same particle, the corresponding trajectories, and the mean squared displacements calculated from two segmented trajectories as explained in the manuscript. This new version also includes the original Jupyter notebook file ('Data manual.ipynb').
Funding from the European Research Council (ERC-2015-AdG-695206 Nanofactory)
Gold nanoparticle, Physical chemistry, Optical tweezer, Surfactant, Self-assembly, Adsorption, Single-particle trajectory
Gold nanoparticle, Physical chemistry, Optical tweezer, Surfactant, Self-assembly, Adsorption, Single-particle trajectory
| 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 |

Views provided by UsageCounts