Home > Press > Graphene grows – and we can see it
![]() |
| Pieces of a graphene lattice made from patchy particles. Because the particles can be followed one-by-one, defects can be studied at the particle scale. Image: Swinkels et al. CREDIT Swinkels et al |
Abstract:
Graphene is the strongest of all materials. On top of that, it is exceptionally good at conducting heat and electrical currents, making it one of the most special and versatile materials we know. For all these reasons, the discovery of graphene was awarded the Nobel Prize in Physics in 2010. Yet, many properties of the material and its cousins are still poorly understood – for the simple reason that the atoms they are made up of are very difficult to observe. A team of researchers from the University of Amsterdam and New York University have now found a surprising way to solve this issue.
Two-dimensional materials, consisting of a hyper-thin single layer of atomic crystal, have attracted a lot of attention recently. This well-deserved attention is mainly due to their unusual properties, very different from their three-dimensional ‘bulk’ counterparts. Graphene, the most famous representative, and many other two-dimensional materials, are nowadays researched intensely in the laboratory. Perhaps surprisingly, crucial to the special properties of these materials are defects, locations where the crystal structure is not perfect. There, the ordered arrangement of the layer of atoms is disturbed and the coordination of atoms changes locally.
Visualizing atoms
Despite the fact that defects have been shown to be crucial for a material’s properties, and they are almost always either present or added on purpose, not much is known about how they form and how they evolve in time. The reason for this is simple: atoms are just too small and move too fast to directly follow them.
In an effort to make the defects in graphene-like materials observable, the team of researchers, from the UvA-Institute of Physics and New York University, found a way to build micrometre-size models of atomic graphene. To achieve this, they used so-called 'patchy particles’. These particles – large enough to be easily visible in a microscope, yet small enough to reproduce many of the properties of actual atoms – interact with the same coordination as atoms in graphene, and form the same structure. The researchers built a model system and used it to obtain insight into defects, their formation and evolution with time. Their results were published in Nature Communications this week.
Building graphene
Graphene is made up of carbon atoms that each have three neighbours, arranged in the well-known ‘honeycomb’ structure. It is this special structure that lends graphene its unique mechanical and electronic properties. To achieve the same structure in their model, the researchers used tiny particles made of polystyrene, decorated with three even tinier patches of a material known as 3-(trimethoxysilyl)propyl – or TPM for short. The configuration of the TPM patches mimicked the coordination of carbon atoms in the graphene lattice. The researchers then made the patches attractive so that the particles could form bonds with each other, again in analogy with the carbon atoms in graphene.
After being left alone for a few hours, when observed under a microscope the ‘mock carbon’ particles turned out to indeed arrange themselves into a honeycomb lattice. The researchers then looked in more detail at defects in the model graphene lattice. They observed that also in this respect the model worked: it showed characteristic defect motifs that are also known from atomic graphene. Contrary to real graphene, the direct observation and long formation time of the model now allowed the physicists to follow these defects from the very start of their formation, up to the integration into the lattice.
Unexpected results
The new look at the growth of graphene-like materials immediately led to new knowledge about these two-dimensional structures. Unexpectedly, the researchers found that the most common type of defect already forms in the very initial stages of growth, when the lattice is not yet established. They also observed how the lattice mismatch is then ‘repaired’ by another defect, leading to a stable defect configuration, which either remains or only very slowly heals further to a more perfect lattice.
Thus, the model system not only allows to rebuild the graphene lattice on a larger scale for all sorts of applications, but the direct observations also allow insights into atomic dynamics in this class of materials. As defects are central to the properties of all atomically thin materials, these direct observations in model systems help further engineer the atomic counterparts, for example for applications in ultra-lightweight materials and optical and electronic devices.
####
For more information, please click here
Contacts:
Laura Erdtsieck
Universiteit van Amsterdam
Office: 0031-205-252-695
Copyright © Universiteit van Amsterdam
If you have a comment, please Contact us.Issuers of news releases, not 7th Wave, Inc. or Nanotechnology Now, are solely responsible for the accuracy of the content.
| Related Links |
| Related News Press |
News and information
Quantum computer improves AI predictions April 17th, 2026
Flexible sensor gains sensitivity under pressure April 17th, 2026
A reusable chip for particulate matter sensing April 17th, 2026
Detecting vibrational quantum beating in the predissociation dynamics of SF6 using time-resolved photoelectron spectroscopy April 17th, 2026
2 Dimensional Materials
Flexible sensor gains sensitivity under pressure April 17th, 2026
Graphene/ Graphite
Electrifying results shed light on graphene foam as a potential material for lab grown cartilage June 6th, 2025
Breakthrough in proton barrier films using pore-free graphene oxide: Kumamoto University researchers achieve new milestone in advanced coating technologies September 13th, 2024
Possible Futures
A fundamentally new therapeutic approach to cystic fibrosis: Nanobody repairs cellular defect April 17th, 2026
UC Irvine physicists discover method to reverse ‘quantum scrambling’ : The work addresses the problem of information loss in quantum computing system April 17th, 2026
Chip Technology
A reusable chip for particulate matter sensing April 17th, 2026
Metasurfaces smooth light to boost magnetic sensing precision January 30th, 2026
Discoveries
Quantum computer improves AI predictions April 17th, 2026
Flexible sensor gains sensitivity under pressure April 17th, 2026
A reusable chip for particulate matter sensing April 17th, 2026
Detecting vibrational quantum beating in the predissociation dynamics of SF6 using time-resolved photoelectron spectroscopy April 17th, 2026
Materials/Metamaterials/Magnetoresistance
First real-time observation of two-dimensional melting process: Researchers at Mainz University unveil new insights into magnetic vortex structures August 8th, 2025
Researchers unveil a groundbreaking clay-based solution to capture carbon dioxide and combat climate change June 6th, 2025
A 1960s idea inspires NBI researchers to study hitherto inaccessible quantum states June 6th, 2025
Institute for Nanoscience hosts annual proposal planning meeting May 16th, 2025
Announcements
A fundamentally new therapeutic approach to cystic fibrosis: Nanobody repairs cellular defect April 17th, 2026
UC Irvine physicists discover method to reverse ‘quantum scrambling’ : The work addresses the problem of information loss in quantum computing system April 17th, 2026
Interviews/Book Reviews/Essays/Reports/Podcasts/Journals/White papers/Posters
A fundamentally new therapeutic approach to cystic fibrosis: Nanobody repairs cellular defect April 17th, 2026
UC Irvine physicists discover method to reverse ‘quantum scrambling’ : The work addresses the problem of information loss in quantum computing system April 17th, 2026
|
|
||
|
|
||
| The latest news from around the world, FREE | ||
|
|
||
|
|
||
| Premium Products | ||
|
|
||
|
Only the news you want to read!
Learn More |
||
|
|
||
|
Full-service, expert consulting
Learn More |
||
|
|
||