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Innovative use of nanographenes achieves breakthrough in quantum modelling

A recent breakthrough in quantum materials research, published in Nature Nanotechnology, introduces a powerful platform for exploring and controlling topological phases in quantum systems. This study was performed by scientists at INL, Empa – Swiss Federal Laboratories for Materials Science and Technology, the Technical University of Dresden and Max Planck Institute of Microstructure Physics. INL researchers played a crucial role by providing the theoretical calculations essential to this advance. The international team developed a unique system of nanographene-based chains, whose building blocks are known as “Clar’s goblets”. Using a technique called ‘on-surface synthesis’, the researchers created alternating-exchange Heisenberg spin chains, allowing for targeted spin manipulation within a controlled structure. The Heisenberg model, a foundational concept in quantum mechanics, describes how spins (intrinsic angular momenta of particles like electrons) interact with one another. In this paper, the Heisenberg spin chains are specially constructed from linked Clar’s goblets, nanographenes where each part of the molecule (a “site” in the chain) hosts a spin. By covalently linking the Clar’s goblets, the researchers could precisely control properties such as chain length and exchange interactions at the atomic level. Scanning tunnelling microscopy further allowed the team to investigate the magnetic properties of these chains, monitoring […]

Innovative water repellent material to cut waste in the auto industry

A groundbreaking project is underway to develop hydrophobic sleeves for painting robots, aimed at extending their lifespan and reducing waste in the automotive sector. Diana Alves, a researcher at INL – International Iberian Nanotechnology Laboratory, is working in the GreenAuto Agenda, and is working towards the development of super-hydrophobic coatings, specifically tailored for the automotive industry. These coatings possess unique properties that repel water. Instead of spreading, droplets form into spheres and roll off the surface, preventing the accumulation of moisture. Currently, the sleeves need to be regularly replaced, generating non-reusable waste. However, with the addition of superhydrophobic coatings, paint would be repelled, significantly extending the lifespan of the sleeves. Many current solutions for hydrophobic protection depend on PFAS, a group of fluorinated compounds known for their toxicity and environmental persistence. These chemicals degrade very slowly, remaining in the environment for extended periods. Despite their widespread use, the long-lasting nature of PFAS makes them a growing concern for health and environmental safety. To address this issue, Diana Alves and Kolen’ko’s research group are developing an alternative solution using nanomaterials that provide the same superhydrophobic benefits without the use of fluorine-based chemicals. The morphological properties of nanomaterials are engineered to control […]

New quantum computing protocol demonstrated by international research team

A recent breakthrough in photonics-based randomness manipulation has been achieved by a strong collaboration with Ernesto Galvão from INL and scientists from Milan’s Polytechnic and Sapienza University of Rome. The group’s findings were published in the prestigious journal Nature Photonics, where they presented a new protocol known as a Bernoulli factory,demonstrating advanced capabilities in manipulating probability distributions encoded in photonic quantum bits. Ernesto Galvão, group leader at INL, outlines the importance of this research in the broader context of quantum computing. “Quantum computers promise to offer extreme speed-ups for certain computational problems, but actually building them is very challenging, independently of the physical platform used,” he explains. Galvão elaborated on the unique properties of photonic quantum computers, which encode and process information using photons – i.e. particles of light. This encoding can leverage various aspects of light, such as the paths it follows, polarization, arrival time, or its spectrum (colour), making it a highly versatile approach to quantum information processing. “The core functionality demonstrated involves manipulating a probability distribution encoded within these photonic quantum bits. To achieve this, we used a programmable multimode interferometer, which enables the encoding of information based on the paths photons take within the device.”, adds […]

INL team develops sensor to detect multidrug-resistant bacteria

A research team at INL is using ionizing light to “smell” volatile compounds emitted by multidrug-resistant bacteria. Antibiotic resistance is a serious global threat with widespread implications, contributing to an estimated 5 million deaths annually due to drug-resistant infections. This occurs as bacteria evolve to resist the effects of antibiotics, leading to new bacterial strains that are resistant to treatment. As a result, infections become harder to treat, increasing the risk of disease spread, severe illness, and death. Recently, this work was featured in ‘90 Segundos de Ciência’, a series of science communication episodes with daily broadcasts on Antena 1 Portuguese public radio. In this episode, Research Engineer Susana Costa explains INL’s contribution towards this exciting project in just 90 seconds (in Portuguese). The novel sensor is being designed to detect multidrug-resistant bacteria in hospital environments and healthcare facilities. Susana Costa explains that “the photo-ionization sensor employs a sophisticated mechanism that emits light, targeting gaseous molecules released by bacteria present in the air. When the light interacts with these molecules, it ionizes them, creating ions and electrons. These electrons, under the influence of an electric field, generate an electric current, which is then measured by the system”. The technology behind […]

Nanotechnology as a strategy for plastics in a circular economy

In a world increasingly conscious of environmental impact, industries that rely heavily on plastic materials face significant challenges. Plastics can be found in everything from packaging to consumer electronics. However, the environmental consequences of plastic waste are driving the sector towards a much-needed transformation. The European strategy for plastics in a circular economy embraces an ambitious approach to enhance the recyclability of plastic packaging and provides a strong response to the issue of microplastics, a major contributor to marine pollution. The current design, production, use, and disposal of plastics have harmful effects on our society, economy, and environment. Supported by the EU, projects such as FlexFunction2Sustain and Convert2Green are creating a sustainable open innovation ecosystem. This ecosystem helps small industries bring innovative products to market faster, with a focus on new polymer formulations, such as bio-based and biodegradable plastics. INL researcher Victor Souza explains that their lab is developing “sustainable, smart products that can drastically reduce the environmental footprint of industries that rely on plastics.” The goal is to make these materials both high-performing and eco-friendly. Pastrana’s group is addressing the challenge of plastic waste by developing nano-functionalised flexible plastic and paper materials. Victor explains, “At INL, we are working […]

Revolutionising micro optics: INL researchers develop open-source software for advanced design and modelling

INL researchers, in collaboration with Bosch Car Multimedia and Bosch Security Systems, recently published an article on Computer Physics Communications, where they introduce a new open-source Python software that democratises the design and modelling of micro optical elements and flat optics. Micro optics can replace bulky traditional optics with sleek, micro and nanostructured alternatives, enabling more advanced optical functions. These components, produced with semiconductor microfabrication techniques, require precise binary or multilevel lithography masks to translate computed designs into physical components. However, no existing tool offers a complete solution for designing, simulating, and generating these masks – until now. INL researchers developed an open-source software package to fill this gap, by providing an end-to-end solution that allows users to design, simulate, and generate lithography masks for micro optical elements. João Cunha, a Marie Skłodowska-Curie Postdoctoral Fellow at INL, explains “with this new development it is possible to create masks directly from your desired optical functions, and export them as binary or multilevel lithography files (such as GDSII and DXF) compatible with standard microfabrication tools.” “This package addressed the challenge of producing surface relief diffractive optics by discretisation of continuous topographies into mask layers, required for specific micro and nanofabrication approaches, such […]

Advanced electron microscopy to investigate magnetic layered materials

In a recent study published in Nature Communications, INL researchers Loukya Boddapati and Francis Leonard Deepak, along with an international team from Korea, Spain, the U.S., and the U.K., used cutting-edge electron microscopy, including low-temperature Cryo-TEM, to explore the structural phase transitions of CrI₃. CrI₃ is a novel magnetic material which has attracted significant attention for its unique ferromagnetic properties and potential applications in spintronics. The stacking configurations in van der Waals crystals significantly influence several material properties. Previous research has shown that stacking engineering is a powerful method for achieving desired properties through layer-by-layer crystal engineering. Controlling the twist angle between artificially stacked two-dimensional (2D) materials has led to the discovery of unconventional phenomena, ranging from superconductivity to strongly correlated magnetism. This study clarifies the complex relationship between these transitions and the material’s magnetic properties. In this study, cross-sectional TEM analysis was used to identify interlayer stacking disorders in CrI3. According to Francis Leonard Deepak, “the study provides evidence of twisted stacking faults in CrI₃ and reveals changes in the relative population of twisted domains, without the anticipated transition to the rhombohedral phase at low temperatures”. “These findings underscore the importance of understanding layer-dependent stacking order and magnetic properties […]

Researchers achieve quantum breakthrough with novel quantum-to-quantum Bernoulli factory design

Unlike classical computers, which use bits to process information as either 0s or 1s, quantum computers use quantum bits, also known as qubits, which can represent and process both 0 and 1 simultaneously thanks to a quantum property called superposition. This fundamental difference gives quantum computers the potential to solve some complex problems much more efficiently than classical computers. INL researcher Ernesto Galvão, in collaboration with Sapienza Università di Roma (Rome) and Istituto di Fotonica e Nanotecnologie (Milan), recently published a groundbreaking study in the journal Science Advances, where they describe a new set-up for a quantum-to-quantum Bernoulli factory. A Bernoulli factory is a method to manipulate randomness, using as inputs random coin flips with a certain probability distribution, and outputting coin flips with a different, desired distribution. Let us imagine we have a coin that lands on heads with some unknown probability. Now, we want to create a new coin that lands on heads with a different probability, possibly described by a function of the initial probability. The Bernoulli factory is an ingenious way to flip our original coin multiple times and use the different outcomes to simulate the new coin with the desired probability. Ernesto Galvão adds “This […]

Can we cut the energy consumption of current AI technologies?

As artificial intelligence, commonly referred to as AI, becomes increasingly integrated into various aspects of our daily lives, the energy demands of AI systems continue to rise. Despite AI being inspired by the human brain, it is significantly less energy efficient because most tasks are implemented on computer hardware that is not specifically tailored for this purpose. The human brain remains an exemplar of energy-efficient computation, a standard that modern technology strives to replicate. INL researchers are studying advanced materials and devices aimed at revolutionising AI systems. Carlos Rosário, ERA fellow at INL (Marie Skłodowska-Curie actions (MSCA)), focuses his research on reducing the substantial energy consumption required by current AI technologies. Carlos’ work is grounded in the field of neuromorphic computing, which seeks to mimic the brain’s intricate network of neurons and synapses using artificial equivalents. The goal is to create an electronic brain capable of performing complex computations with minimal energy use. One of the key areas of Carlos Rosário’s research is the exploration of 3D topological insulators for novel electronic devices. These cutting-edge materials exhibit unique properties: while they are insulators and do not conduct electricity through their bulk, their surfaces behave like metals, allowing for efficient electrical […]

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