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Categories: Chemistry: Biochemistry, Mathematics: Modeling

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Scientists have developed photoresponsive supramolecular polymers that can undergo both intrachain folding and interchain aggregation.

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A new adaptive 3D printing system can identify the positions of randomly distributed organisms and safely move them to specific locations for assembly.

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Engineering researchers have successfully developed a quantum microprocessor chip for molecular spectroscopy simulation of actual large-structured and complex molecules.

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Artificial intelligence (AI) has exploded in popularity as of late. But just like a human, it's hard to read an AI model's mind. Explainable AI (XAI) could help us do just that by providing justification for a model's decisions. And now, researchers are using XAI to scrutinize predictive AI models more closely, which could help make better antibiotics.

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When a global pandemic forced previous a graduate student out of the lab and onto the computer, he found a world of difference hidden in the long-studied species of Botryoccocus braunii -- and discovered that it isn't one species at all, but three.

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Detecting diseases early requires the rapid, continuous and convenient monitoring of vital biomarkers. Researchers have now developed a novel sensor that enables the continuous, and real-time detection of solid-state epidermal biomarkers, a new category of health indicators. The team's wearable, stretchable, hydrogel-based sensor overcomes the limitations of current methods that rely on biofluid samples, such as blood, urine and sweat. This makes it a promising alternative for wearable, continuous, and real-time health monitoring, facilitating the early detection of conditions such as cardiovascular diseases and stroke.

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A view into how nanoscale building blocks can rearrange into different organized structures on command is now possible with an approach that combines an electron microscope, a small sample holder with microscopic channels, and computer simulations, according to a new study.

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Two new studies are pointing the way toward round-the-clock personalized care for people with Parkinson's disease through an implanted device that can treat movement problems during the day and insomnia at night.

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A new machine learning model can predict autism in young children from relatively limited information. The model can facilitate early detection of autism, which is important to provide the right support.

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Researchers developed a novel reagent that enhances the precision of drug synthesis. This innovative method introduces a new sulfur fluoride exchange (SuFEx) reagent that allows for highly controlled production of crucial sulfur-based molecules, including sulfinamides, sulfonimidamides and sulfoximines.

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A study expands understanding on how electrons move through the conductive parts of complex fluids found in electrochemical devices such as batteries. This work can help overcome existing knowledge gaps for engineers seeking to improve the performance of these devices.

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A mathematical framework that builds on the economic theory of hidden-action models provides insight into how the unobservable nature of effort and risk shapes investigators' research strategies and the incentive structures within which they work, according to a new study.

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Researchers have demonstrated a technique for printing thin metal oxide films at room temperature, and have used the technique to create transparent, flexible circuits that are both robust and able to function at high temperatures.

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Researchers have developed a new two-photon fluorescence microscope that captures high-speed images of neural activity at cellular resolution. By imaging much faster and with less harm to brain tissue than traditional two-photon microscopy, the new approach could provide a clearer view of how neurons communicate in real time, leading to new insights into brain function and neurological diseases.

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Researchers have developed a new theoretical modelling technique that could potentially be used in the development of switches or amplifiers in molecular electronics.

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The remarkable affinity of the microbial enzyme iron nitrogenase for the greenhouse gas CO2 makes it promising for future biotechnologies.

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A new brain-computer interface translates brain signals into speech with up to 97 percent accuracy. Researchers implanted sensors in the brain of a man with severely impaired speech due to amyotrophic lateral sclerosis (ALS). The man was able to communicate his intended speech within minutes of activating the system.

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More efficient and longer-lasting fuel cells are essential for fuel cell-powered heavy-duty hydrogen vehicles to be an alternative to combustion fuelled counterparts. Researchers have developed an innovative method to study and understand how parts of fuel cells degrade over time. This is an important step towards the improved performance of fuel cells and them becoming commercially successful.

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Noble gases have a reputation for being unreactive, inert elements, but more than 60 years ago Neil Bartlett demonstrated the first way to bond xenon. He created XePtF6, an orange-yellow solid. Because it's difficult to grow sufficiently large crystals that contain noble gases, some of their structures -- and therefore functions -- remain elusive. Now, researchers have successfully examined tiny crystallites of noble gas compounds. They report structures of multiple xenon compounds.

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Researchers simulated social norms with a supercomputer. Their findings contribute to a deeper understanding of the evolution of social norms and their role in fostering cooperative behavior.