Single platinum atoms spotted in 2D lattice for first time unlock smarter gas sensors
Austrian scientists have achieved a breakthrough by embedding individual platinum atoms into an ultrathin material and pinpointing their positions within the lattice with atomic precision for the first time ever.
The research team from the University of Vienna and the Vienna University of Technology (TU Wien), utilized a new method that combines defect engineering in the host material, the controlled placement of platinum atoms, and a cutting-edge, high-contrast electron imaging technique known as ptychography.
Jani Kotakoski, PhD, an expert in the field of physics in nanostructured materials and research group leader, highlighted that the achievement sets the stage for tailoring materials with atomic precision.
Active centers, which are tiny sites on the material's surface where chemical reactions occur or gas molecules can specifically bind, are crucial for enhancing the efficiency, selectivity, and overall performance of materials used in catalysis and gas detection.
These centers are especially effective when made up of single metal atoms like platinum, which they aimed not only to produce, but also to visualize with atomic-level precision.
Known for its highly tunable structure, the host material molybdenum disulfide (MoS₂) is an ultrathin semiconductor. To introduce new active sites, the scientists used helium ion irradiation to deliberately create atomic-scale defects on its surface, such as sulfur vacancies.
These vacancy sites were then selectively filled with individual platinum atoms, allowing the team to engineer the material at the atomic level. This precise atomic substitution, known as doping, enables fine-tuning of the material's properties for specific applications, such as catalysis or gas detection.
However, previous studies had not provided direct evidence of the exact positions of foreign atoms within the atomic lattice, as conventional electron microscopy lacks the contrast needed to clearly distinguish between defect types such as single and double sulfur vacancies.
In a bid to address the challenge, the team has now used a state-of-the-art imaging method known as Single-Sideband Ptychography (SSB), which analyzes electron diffraction patterns to achieve atomic-level resolution.
"With our combination of defect engineering, doping, and ptychography, we were able to visualize even subtle differences in the atomic lattice - and clearly determine whether a platinum atom had been incorporated into a vacancy or merely resting loosely on the surface," David Lamprecht, MSc, a student at the University of Vienna's institute for microelectronics, and lead author of the study, said.
With the help of computer simulations, the scientists were able to precisely identify the different incorporation sites, such as positions originally occupied by sulfur or molybdenum atoms, marking a key advance toward targeted material design.
The team believes that combining targeted atom placement with atomically precise imaging unlocks new possibilities for advanced catalyst design and highly selective gas sensing.
While individual platinum atoms placed at precisely defined sites can serve as highly efficient catalysts, like in eco-friendly hydrogen production, the material can also be tailored to respond selectively to specific gas molecules.
"With this level of control over atom placement, we can develop selectively functionalized sensors - a significant improvement over existing methods," Kotakoski concluded in a press release.
According to the research team, the approach is not limited to platinum and molybdenum disulfide but can also be applied to a wide range of 2D materials and dopant atom combinations.
By gaining more precise control over defect creation and incorporating post-treatment steps, the researchers now hope to further refine the technique. Their final goal is to develop functional materials with customized properties, in which every atom is positioned with absolute precision.
The study has been published in the journal Nano Letters.
Hashtags

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
2 days ago
- Yahoo
Quantum system beats classical AI in real test, powers greener supercomputing future
In a major leap toward the future of computing, researchers have shown that even small-scale quantum processors can outperform classical algorithms in machine learning tasks. The finding offers a glimpse into a faster, greener era within the relatively new research field of Quantum Machine Learning, a space gaining momentum across both academia and new study combines quantum computing and machine learning, two of the most disruptive technologies of our time. Recent advances in both fields are reshaping the technological frontier. While AI is already embedded in everything from personal assistants to scientific research, quantum computing promises a fundamentally new way of processing information. Their intersection has given rise to a rapidly growing field: quantum machine learning. This emerging discipline explores whether quantum systems can improve the speed, accuracy, or efficiency of machine learning algorithms. However, proving such an advantage on today's limited quantum hardware remains a major challenge—one that researchers are just beginning to by an international team led by the University of Vienna, the experiment used a photonic quantum processor to classify data points, an essential task in modern AI systems. The researchers found that the quantum system outperformed its classical counterpart, making fewer errors—a rare, real-world glimpse of quantum advantage with current hardware. This breakthrough was achieved using a quantum photonic circuit developed at Italy's Politecnico di Milano and a machine learning algorithm proposed by UK-based Quantinuum. The experiment marks one of the first demonstrations of quantum enhancement in practical AI tasks, rather than simulations. By isolating the quantum contribution in the classification process, the team was able to pinpoint specific scenarios where quantum systems results not only validate the potential of photonic quantum processors but also lay the groundwork for identifying machine learning tasks where quantum computing can make a real-world impact, even with today's limited-scale hardware.'We found that for specific tasks, our algorithm commits fewer errors than its classical counterpart,' said Philip Walther, project lead from the University of Vienna. "This implies that existing quantum computers can show good performances without necessarily going beyond the state-of-the-art technology," adds Zhenghao Yin, first author of the accuracy, the experiment also reveals another important advantage in energy quantum systems process information using light and therefore consume significantly less power than traditional hardware, which is becoming increasingly important as AI's energy demands continue to rise.'This could prove crucial in the future, given that machine learning algorithms are becoming infeasible due to high energy demands,' said co-author Iris showing that today's quantum devices can already offer tangible improvements, the findings could steer both quantum computing and classical machine learning into a more symbiotic future, where quantum-inspired algorithms push conventional boundaries and photonic platforms help make AI more sustainable. The study has been published in the journal Nature Photonics.


Business Wire
2 days ago
- Business Wire
Ultra Cyclist Philipp Kaider Embarks on Race Across America with Support from Radiometer
CARLSBAD, Calif.--(BUSINESS WIRE)--On June 10, 2025, Austrian ultra-endurance athlete Philipp Kaider will begin his most ambitious challenge yet: the Race Across America (RAAM). Spanning nearly 5,000 kilometers from the Pacific to the Atlantic, RAAM is widely regarded as one of the toughest endurance races in the world—demanding continuous cycling across extreme terrain, weather conditions, and time zones. To help monitor his hydration and recovery throughout the event, Kaider's team will use the ABL90 FLEX PLUS blood gas analyzer to measure critical values such as electrolytes—ensuring he remains in peak condition across each stage of the race. Share This marks Kaider's first attempt at the iconic race, a feat that tests not just physical strength, but also mental focus and strategic precision. Supported by a mobile crew and detailed performance planning, Kaider is determined to cross the finish line with speed and resilience. 'RAAM isn't just a race—it's a life experience,' said Kaider. 'It's about pushing past what you thought was possible and discovering a new level of endurance. I've trained for years to reach this starting line.' RAAM represents the ultimate test of human endurance, and Philipp's story reflects the passion and perseverance we admire at Radiometer. To help monitor his hydration and recovery throughout the event, Kaider's team will use the ABL90 FLEX PLUS blood gas analyzer to measure critical values such as electrolytes—ensuring he remains in peak condition across each stage of the race. About Radiometer Whatever comes next, we make sure life comes first. Radiometer develops, manufactures, and markets solutions for blood sampling, blood gas analysis, transcutaneous monitoring, immunoassay testing, and related IT management systems. Today, Radiometer's products and solutions are used in hospitals, clinics, and laboratories in over 130 countries, providing information on critical parameters in acute care diagnostics. Through connected solutions, expert knowledge, and trusted partnerships, we help health care professionals make diagnostic decisions to improve patient care. To learn more, visit or contact Radiometer America at 1 (800) 736 0600. About RAAM RAAM, first held in 1982, differs from stage-based races by running non-stop from start to finish. Riders have no designated rest periods, making strategic decisions about sleep, nutrition, and pacing crucial for success.
Yahoo
2 days ago
- Yahoo
Ultra Cyclist Philipp Kaider Embarks on Race Across America with Support from Radiometer
CARLSBAD, Calif., June 10, 2025--(BUSINESS WIRE)--On June 10, 2025, Austrian ultra-endurance athlete Philipp Kaider will begin his most ambitious challenge yet: the Race Across America (RAAM). Spanning nearly 5,000 kilometers from the Pacific to the Atlantic, RAAM is widely regarded as one of the toughest endurance races in the world—demanding continuous cycling across extreme terrain, weather conditions, and time zones. This marks Kaider's first attempt at the iconic race, a feat that tests not just physical strength, but also mental focus and strategic precision. Supported by a mobile crew and detailed performance planning, Kaider is determined to cross the finish line with speed and resilience. "RAAM isn't just a race—it's a life experience," said Kaider. "It's about pushing past what you thought was possible and discovering a new level of endurance. I've trained for years to reach this starting line." RAAM represents the ultimate test of human endurance, and Philipp's story reflects the passion and perseverance we admire at Radiometer. To help monitor his hydration and recovery throughout the event, Kaider's team will use the ABL90 FLEX PLUS blood gas analyzer to measure critical values such as electrolytes—ensuring he remains in peak condition across each stage of the race. About Radiometer Whatever comes next, we make sure life comes first. Radiometer develops, manufactures, and markets solutions for blood sampling, blood gas analysis, transcutaneous monitoring, immunoassay testing, and related IT management systems. Today, Radiometer's products and solutions are used in hospitals, clinics, and laboratories in over 130 countries, providing information on critical parameters in acute care diagnostics. Through connected solutions, expert knowledge, and trusted partnerships, we help health care professionals make diagnostic decisions to improve patient care. To learn more, visit or contact Radiometer America at 1 (800) 736 0600. About RAAM RAAM, first held in 1982, differs from stage-based races by running non-stop from start to finish. Riders have no designated rest periods, making strategic decisions about sleep, nutrition, and pacing crucial for success. View source version on Contacts PR MEDIARADIOMETER, Senior Brand Manager, Communications & Brand - AJ de Montjoie: +45 38 27 36 39SCHOKO communications (on behalf of Philipp Kaider) - Christian Troll: +49 151 1101 7582 Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data