ArticleACS central science2015
Interaction Potentials of Anisotropic Nanocrystals from the Trajectory Sampling of Particle Motion using in Situ Liquid Phase Transmission Electron Microscopy.
Article in ACS central science, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
27 citing papers in PubMed.
- Solution-Tunable Interfacial Interaction Landscape Governs Anomalous Nanoparticle Diffusion in Liquid-Phase Electron Microscopy.ACS nano · 2026Article
- Prospects of Nanoscience with Nanocrystals: 2025 Edition.ACS nano · 2025Review
- Learning the diffusion of nanoparticles in liquid phase TEM via physics-informed generative AI.Nature communications · 2025Article
- The Influence of Ionizing Radiation on Quantification for In Situ and Operando Liquid-Phase Electron Microscopy.Advanced materials (Deerfield Beach, Fla.) · 2025Review
- Polymer-Grafted Gold Colloids and Supracolloids: From Mechanisms of Formation to Dynamic Soft Matter.Macromolecular rapid communications · 2025Review
- Nanopipette dynamic microscopy unveils nano coffee ring.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Understanding the mechanisms of anisotropic dissolution in metal oxides by applying radiolysis simulations to liquid-phase TEM.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Direct Imaging of the Kinetic Crystallization Pathway: Simulation and Liquid-Phase Transmission Electron Microscopy Observations.Materials (Basel, Switzerland) · 2023Review
- Tunability of Interactions between the Core and Shell in Rattle-Type Particles Studied with Liquid-Cell Electron Microscopy.ACS nano · 2021Article
- Review
- Anomalous nanoparticle surface diffusion in LCTEM is revealed by deep learning-assisted analysis.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- In Situ Tracking of Colloidally Stable and Ordered Assemblies of Gold Nanorods.Journal of the American Chemical Society · 2020Article
- Interactions of sub-five-nanometer diameter colloidal palladium nanoparticles in solution investigatedRSC advances · 2020Article
- Machine Learning to Reveal Nanoparticle Dynamics from Liquid-Phase TEM Videos.ACS central science · 2020Article
- Complex Nanoparticle Diffusional Motion in Liquid-Cell Transmission Electron Microscopy.The journal of physical chemistry. C, Nanomaterials and interfaces · 2020Article
- Imaging the kinetics of anisotropic dissolution of bimetallic core-shell nanocubes using graphene liquid cells.Nature communications · 2020Article
- Transformation of siderite to goethite by humic acid in the natural environment.Communications chemistry · 2020Article
- Connecting energetics to dynamics in particle growth by oriented attachment using real-time observations.Nature communications · 2020Article
- Liquid cell transmission electron microscopy and its applications.Royal Society open science · 2020Review
- Direct Observation of Early Stages of Growth of Multilayered DNA-Templated Au-Pd-Au Core-Shell Nanoparticles in Liquid Phase.Frontiers in bioengineering and biotechnology · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We demonstrate a generalizable strategy to use the relative trajectories of pairs and groups of nanocrystals, and potentially other nanoscale objects, moving in solution which can now be obtained by in situ liquid phase transmission electron microscopy (TEM) to determine the interaction potentials between nanocrystals. Such nanoscale interactions are crucial for collective behaviors and applications of synthetic nanocrystals and natural biomolecules, but have been very challenging to measure in situ at nanometer or sub-nanometer resolution. Here we use liquid phase TEM to extract the mathematical form of interaction potential between nanocrystals from their sampled trajectories. We show the power of this approach to reveal unanticipated features of nanocrystal-nanocrystal interactions by examining the anisotropic interaction potential between charged rod-shaped Au nanocrystals (Au nanorods); these Au nanorods assemble, in a tip-to-tip fashion in the liquid phase, in contrast to the well-known side-by-side arrangements commonly observed for drying-mediated assembly. These observations can be explained by a long-range and highly anisotropic electrostatic repulsion that leads to the tip-selective attachment. As a result, Au nanorods stay unassembled at a lower ionic strength, as the electrostatic repulsion is even longer-ranged. Our study not only provides a mechanistic understanding of the process by which metallic nanocrystals assemble but also demonstrates a method that can potentially quantify and elucidate a broad range of nanoscale interactions relevant to nanotechnology and biophysics.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.