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Groundbreaking accordion effect makes graphene more stretchable by removing atoms

Groundbreaking accordion effect makes graphene more stretchable by removing atoms

Yahoo12-05-2025
Austrian researchers have unlocked a groundbreaking property of graphene, making it significantly more stretchable by manipulating its structure to ripple like an accordion using a one-of-a-kind method that has never been seen before.
The unique technique, pioneered by scientists at the University of Vienna and the Vienna University of Technology, involved the meticulous manipulation of the atomic structure of graphene, a material extracted from graphite and is made up of pure carbon, in an ultra-clean, airless environment.
This unique setup ensured that the graphene samples remained free from ambient air and foreign particles, which could interfere with the measurements and distort the results.
Jani Kotakoski, PhD, a physics professor at the University of Wien and lead author of the research, believes the discovery opens up exciting new possibilities for the material, enabling its use in applications requiring enhanced flexibility, such as wearable electronics and advanced flexible devices.
In 2004, the discovery of graphene by researchers Andre Geim, PhD, and Kostya Novoselov, PhD, from the University of Manchester, revolutionized science, introducing a new class of materials known as two-dimensional (2D) solids.
These materials, just a single atom thick, possess unique properties that hold significant promise for various applications, with graphene being particularly celebrated for its exceptional electrical conductivity, flexibility, lightness and high resistance.
However, its extreme stiffness, a result of its honeycomb-shaped arrangement of the atoms, has limited its use in many applications. Although removing atoms from its structure might be expected to reduce its stiffness, studies have yielded mixed results, with some research suggesting a slight decrease in rigidity, while others show an increase in stiffness.
Now, to address the issue, the research team conducted experiments in an ultra-clean, airless environment, using state-of-the-art equipment to ensure that the graphene samples were completely isolated from external air and contaminants. The controlled setup allowed researchers to carry out precise measurements, eliminating interference from airborne particles that might have affected the accuracy of the results.
"This unique system we have developed in the University of Vienna allows us to examine 2D materials without interference," Kotakoski explained. "For the first time this kind of experiment has been carried out with the graphene fully isolated from ambient air and the foreign particles it contains. Without this separation, these particles would quickly settle on the surface affecting the experiment procedure and measurements."
According to Kotakoski, the breakthrough came from an intense focus on keeping the graphene surface completely clean during testing. The researchers discovered that removing just two neighboring atoms from the otherwise flat material caused it to bulge slightly.
As more of these small bulges formed, they created a corrugated, wave-like structure, which the scientists have called the 'accordion effect.'
"You can imagine it like an accordion," Joudi explained in a press release. "When pulled apart, the waved material now gets flattened, which requires much less force than stretching the flat material and therefore it becomes more stretchable."
The findings were further backed by computer simulations from theoretical physicists Rika Saskia Windisch, MSc, and Florian Libisch, PhD, at the Vienna University of Technology, which confirmed the formation of these atomic ripples and the resulting increase in flexibility.
The experiments also revealed that contamination from foreign particles on the material's surface completely suppresses the accordion effect. In fact, their presence can make the material seem stiffer, providing a likely explanation for conflicting data in earlier studies.
"This shows the importance of the measurement environment when dealing with 2D materials," Joudi concluded. "The results open up a way to regulate the stiffness of graphene and thus pave the way for potential applications."
The study has been published in the journal Physical Review Letters.
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31 shipwrecks found in Germany, including one believed to be steamer destroyed in WWII air raid
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7 Ways To Make Your CV Stand Out To AI (before A Bot Rejects You)
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She knew she hadn't disclosed her use of AI to the patient. She also worried whether she had inadvertently input details that could make Mr B identifiable. She also questioned whether the AI's suggested diagnoses might have influenced her clinical judgement. By morning, Dr C was feeling anxious and uneasy, and decided to call Medical Protection Society (MPS) for advice. A medicolegal consultant advised her to consider whether, objectively, she still agreed with the management plan and could justify it clinically. The GP was also advised to rectify any omissions immediately and to discuss the case with a colleague if helpful. The medicolegal consultant also explained the consent and confidentiality principles around AI use. Benefits Generative AI tools offer many potential benefits for both doctors and patients. Patients may use these tools to understand medical terminology or a diagnosis they have been given. Doctors may find that, when used safely, generative AI can aid diagnosis or identify potential drug interactions. However, generative AI is not always correct. As well as errors or omissions, it can sometimes produce 'hallucinations,' confidently presenting incorrect information as fact. It is incumbent on the clinicians using these tools to ensure that information shared with a patient is reliable and accurate. Bias, whilst not unique to AI, also deserves consideration. The data used by AI tools may be biased due to the inclusion or exclusion of certain information. Outputs may also fail to account for the demographics of a particular patient population. The use of generative AI does not permit doctors to work outside the limits of their competence. There should be no overreliance on the software, and doctors remain ultimately responsible for the decisions they make. Data Protection and Confidentiality Data protection and confidentiality, as highlighted in the earlier scenario, are key considerations. Compliance with General Data Protection Regulation is essential when using generative AI. These tools, by their nature, store, share, and learn from the information entered into them and can be accessed by anyone. Care must be taken not to input any personal patient data. Simply removing a patient's name may not be sufficient to anonymise their information, as other details could make them identifiable. To ensure compliance with data protection legislation, we recommend seeking guidance from: Hospital Data Protection Officers, who may be able to advise on this in a secondary care setting Integrated Care Boards, who may have policies that would be applicable The Information Commissioners Office (ICO) Consent The earlier scenario also highlights the issue of consent. Consent remains a key cornerstone of all doctor-patient interactions. The ICO advises that, for consent to be a lawful basis for processing data when using AI, it must be freely given, specific, and clear. The individual must agree to it, and they must be able to withdraw their consent at any time. AI as an Aid It is important to hold in mind that AI is a tool to assist, rather than replace, the clinician. When it comes to decision-making, AI software can't readily consider the individual wishes and circumstances of the patient. The 'black box' problem — a lack of transparency in how an AI system reaches conclusions — can make it difficult to challenge outputs or detect errors. Ultimately, AI should not replace clinical reasoning, evidence-based medicine, or consultation with colleagues, peers, multidisciplinary teams, specialists, seniors, and supervisors. Training and Continued Learning Clinicians should aim to be literate in AI, understand its basis and governance, and know how to use it safely. We would encourage all clinicians to incorporate learning on the topic as part of their annual development plans. A multitude of resources on AI are available across medical colleges and institutions. We would also recommend watching the recordings of the recent MPS Foundation AI symposia. A white paper, published by the MPS Foundation, the Centre for Assuring Autonomy at the University of York, and the Improvement Academy hosted at the Bradford Institute for Health Research, offers further useful guidance for doctors to consider on AI use. Conclusion Like it or not, AI is here to stay. Readers should consider its potential benefits while remaining alive to its limitations and risks. Doctors should also ensure they continue to work in a manner consistent with General Medical Council guidance and relevant legislation. If in doubt about using AI tools and their medicolegal implications, doctors can contact MPS or their medical defence organisation to request advice. This article is published as part of an editorial collaboration between Medscape UK and MPS that aims to deliver medicolegal content to help healthcare professionals navigate the many challenges they face in their clinical practice. Dr Sara Jamieson, MBBS, trained in psychiatry before joining MPS in 2016 as a medicolegal consultant. She has disclosed no relevant financial relationships. Dr Lucy Hanington, BMBCh, MRCPCH, has worked as a medicolegal consultant at MPS since 2016. She has disclosed no relevant financial relationships.

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