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Categories: Chemistry: Inorganic Chemistry, Computer Science: General
Published Researchers discover new flat electronic bands, paving way for advanced quantum materials



Scientists predict the existence of flat electronic bands at the Fermi level, a finding that could enable new forms of quantum computing and electronic devices.
Published Next platform for brain-inspired computing



Computers have come so far in terms of their power and potential, rivaling and even eclipsing human brains in their ability to store and crunch data, make predictions and communicate. But there is one domain where human brains continue to dominate: energy efficiency.
Published Novel application of optical tweezers: Colorfully showing molecular energy transfer



Using a novel non-contact approach, a research team has successfully controlled the speed and efficiency of Forster resonance energy transfer between fluorescent molecules by varying the intensity of a laser beam.
Published Researchers engineer AI path to prevent power outages



Researchers developed an artificial intelligence (AI) model that could help electrical grids prevent power outages by automatically rerouting electricity in milliseconds. The approach is an early example of 'self-healing grid' technology, which uses AI to detect and repair problems such as outages autonomously and without human intervention when issues occur, such as storm-damaged power lines.
Published Novel catalysts for improved methanol production using carbon dioxide dehydrogenation



Encapsulating copper nanoparticles within hydrophobic porous silicate crystals has been shown to significantly enhance the catalytic activity of copper-zinc oxide catalysts used in methanol synthesis via CO2 hydrogenation. The innovative encapsulation structure effectively inhibits the thermal aggregation of copper particles, leading to enhanced hydrogenation activity and increased methanol production. This breakthrough paves the way for more efficient methanol synthesis from CO2.
Published A railroad of cells



Looking under the microscope, a group of cells slowly moves forward in a line, like a train on the tracks. The cells navigate through complex environments. A new approach now shows how they do this and how they interact with each other.
Published Researchers create new class of materials called 'glassy gels'



Researchers have created a new class of materials called 'glassy gels' that are very hard and difficult to break despite containing more than 50% liquid. Coupled with the fact that glassy gels are simple to produce, the material holds promise for a variety of applications.
Published Researchers leverage shadows to model 3D scenes, including objects blocked from view



A new technique can model an entire 3D scene, including areas hidden from view, from just one camera image. The method relies on image shadows, which provide information about the geometry and location of hidden objects.
Published Breakthrough may clear major hurdle for quantum computers



The potential of quantum computers is currently thwarted by a trade-off problem. Quantum systems that can carry out complex operations are less tolerant to errors and noise, while systems that are more protected against noise are harder and slower to compute with. Now a research team has created a unique system that combats the dilemma, thus paving the way for longer computation time and more robust quantum computers.
Published Researchers teach AI to spot what you're sketching



A new way to teach artificial intelligence (AI) to understand human line drawings -- even from non-artists -- has been developed.
Published Wirelessly powered relay will help bring 5G technology to smart factories



A recently developed wirelessly powered 5G relay could accelerate the development of smart factories, report scientists. By adopting a lower operating frequency for wireless power transfer, the proposed relay design solves many of the current limitations, including range and efficiency. In turn, this allows for a more versatile and widespread arrangement of sensors and transceivers in industrial settings.
Published Simplicity versus adaptability: Understanding the balance between habitual and goal-directed behaviors



Scientists have proposed a new AI method in which systems of habitual and goal-directed behaviors learn to help each other. Through computer simulations that mimicked the exploration of a maze, the method quickly adapts to changing environments and also reproduced the behavior of humans and animals after they had been accustomed to a certain environment for a long time. The study not only paves the way for the development of systems that adapt quickly and reliably in the burgeoning field of AI, but also provides clues to how we make decisions in the fields of neuroscience and psychology.
Published Custom-made molecules designed to be invisible while absorbing near-infrared light



Researchers used theoretical calculations assessing electron orbital symmetry to synthesize new molecule designed to be both transparent and colorless while absorbing near-infrared light. This compound demonstrates the first systematic approach to producing such materials and have applications in advanced electronics. This compound also shows semiconducting properties.
Published MXenes for energy storage



A new method in spectromicroscopy significantly improves the study of chemical reactions at the nanoscale, both on surfaces and inside layered materials. Scanning X-ray microscopy (SXM) at MAXYMUS beamline of BESSY II enables the investigation of chemical species adsorbed on the top layer (surface) or intercalated within the MXene electrode (bulk) with high chemical sensitivity.
Published AI recognizes athletes' emotions



Using computer-assisted neural networks, researchers have been able to accurately identify affective states from the body language of tennis players during games. For the first time, they trained a model based on artificial intelligence (AI) with data from actual games. Their study demonstrates that AI can assess body language and emotions with accuracy similar to that of humans. However, it also points to ethical concerns.
Published Computable species descriptions: Scientists develop a new computer language to model organismal traits



Understanding organismal traits and learning how they evolve and adapt to different environments is crucial for biologists and the battle against biodiversity loss. To be truly efficient, however, the researchers need to use huge amounts of data, including physical traits and DNA. Furthermore, those different data types need to be accurately linked to each other, so that computers and next-age AI technology can correctly process it. Currently, this process of accurate linking is extremely difficult and largely inefficient. To solve this problem, researchers created a brand new computer language called Phenoscript.
Published Novel method for measuring nano/microplastic concentrations in soil using spectroscopy



Current techniques for measuring nano/microplastic (N/MP) concentrations in soil require the soil organic matter content to be separated and have limited resolution for analyzing N/MPs sized <1 m. Therefore, researchers have developed a novel yet simple method to measure N/MP concentration in different soil types using spectroscopy at two wavelengths. This method does not require the soil to be separated in order to detect the N/MPs and can accurately quantify N/MPs regardless of their size.
Published Golden ball mills as green catalysts



A gold-coated milling vessel for ball mills proved to be a real marvel: without any solvents or environmentally harmful chemicals, the team was able to use it to convert alcohols into aldehydes. The catalytic reaction takes place at the gold surface and is mechanically driven. The vessel can be reused multiple times. 'This opens up new prospects for the use of gold in catalysis and shows how traditional materials can contribute to solving modern environmental problems in an innovative way,' says Borchardt.
Published AI shows how field crops develop



Researchers developed software that can simulate the growth of field crops. To do this, they fed thousands of photos from field experiments into a learning algorithm. This enabled the algorithm to learn how to visualize the future development of cultivated plants based on a single initial image. Using the images created during this process, parameters such as leaf area or yield can be estimated accurately.
Published Reduction of esters by a novel photocatalyst



A ubiquitous compound, called ester can be broken down to produce desirable alcohols and other chemicals for use across industries including pharmaceuticals and cosmetics, but the process can be costly, both financially and in terms of the environment. Researchers developed a novel photocatalyst 'N-BAP.' When irradiated with blue light, the photocatalyst reduces esters in the presence of oxalate, a negatively charged molecule found widely in nature, resulting in the desired alcohols.