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Categories: Chemistry: General, Computer Science: Artificial Intelligence (AI)

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Researchers have used machine learning to create a model that simulates reactive processes in organic materials and conditions.

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At present, viscose textiles are made of biomass from the forest, and there is no such thing as fully recycled viscose. Researchers have now succeeded in making new viscose -- from worn-out cotton sheets.

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A research team has reported a groundbreaking development in efficient hydrogen storage.

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Artificial intelligence helped clinicians to accelerate the design of diabetes prevention software, a new study finds.

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Chemists are closing in on a new tool for tackling the global problem of weedkiller-tainted groundwater.

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A nanotechnology pioneer has uncovered a transformative approach to harnessing the catalytic power of aluminum nanoparticles by annealing them in various gas atmospheres at high temperatures.

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Scientists have developed new electrochemical approaches to clean up pollution from 'forever chemicals' found in clothing, food packaging, firefighting foams, and a wide array of other products. A new study describes nanocatalysts developed to remediate per- and polyfluoroalkyl substances, known as PFAS.

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Researchers flip the switch at the nanoscale by applying light to induce bonding for single-molecule device switching.

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Scientists have developed a new robot that can 'mimic' the two-handed movements of care-workers as they dress an individual.

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A research team has developed an AI technique capable of expediting the identification of materials with desirable characteristics. Using this technique, the team was able to discover high-performance water electrolyzer electrode materials free of platinum-group elements -- substances previously thought to be indispensable in water electrolysis. These materials may be used to reduce the cost of large-scale production of green hydrogen -- a next-generation energy source.

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Galvanized steel containers and surfaces are used for harvested produce because of their durability, strength and lower cost compared to stainless steel. However, bacteria residing in storage containers can cause corrosion. The new coating will reduce corrosion by at least 70 percent, researchers say.

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Scientists have pioneered a new methodology of fabricating carbon-based quantum materials at the atomic scale by integrating scanning probe microscopy techniques and deep neural networks. This breakthrough highlights the potential of implementing artificial intelligence at the sub-angstrom scale for enhanced control over atomic manufacturing, benefiting both fundamental research and future applications.

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A study shows that similarly charged particles can sometimes attract, rather than repel. The team found that like-charged particles suspended in liquids can attract one another at long-range, depending on the solvent and the sign of the charge. The study has immediate implications for processes that involve interactions in solution across various length-scales, including self-assembly, crystallization, and phase separation.

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Improved neutron mirrors can increase the efficiency of material analysis in neutron sources such as the ESS. The improved mirror has been developed by coating a silicon plate with extremely thin layers of iron and silicon mixed with boron carbide.

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Perovskite solar cells are considered the strongest contender to replace silicon solar cells. While they achieve high power conversion energy, they also suffer from lead leakage and perovskite degradation due to moisture. Now scientists leverage the technique of interfacial passivation, where lead ions are bound by crown ether B18C6, obtaining 21.7% power conversion energy. The crown ether also resists degradation due to moisture for 300 hours at room temperature and 85% humidity.

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Recycling facilities collect glass and mercury from thrown away fluorescent bulbs, but discarded lighting could also supply rare-earth metals for reuse. The 17 metals referred to as rare earths aren't all widely available and aren't easily extracted with existing recycling methods. Now, researchers have found a simpler way to collect slightly magnetic particles that contain rare-earth metals from spent fluorescent bulbs.

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Chemists fill a major gap in origin-of-life theories.

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Researchers applied deep-learning approaches from vehicle routing to streamline planning trajectories for robots in an e-commerce warehouse. Their method breaks the problem down into smaller chunks and then predicts the best chunks to solve with traditional algorithms.

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Researchers have developed a microporous covalent organic framework with dense donor-acceptor lattices and engineered linkages for the efficient and clean production of hydrogen peroxide through the photosynthesis process with water and air.

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Molecules that are induced by light to rotate bulky groups around central bonds could be developed into photo-activated bioactive systems, molecular switches, and more.