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Categories: Chemistry: Organic Chemistry, Engineering: Robotics Research

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Researchers have developed a new technique called MAbID. This allows them to simultaneously study different mechanisms of gene regulation, which plays a major role in development and disease. MAbID offers new insights into how these mechanisms work together or against each other.

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In a step toward more autonomous soft robots and wearable technologies, researchers have created a device that uses color to simultaneously sense multiple mechanical and temperature stimuli.

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A team presents a groundbreaking advance for the world of high-resolution fluorescence microscopy: The innovative method enables researchers for the first time to use biomolecules as molecular rulers to calibrate the latest super-resolution microscopy methods, which have a resolution of just a few nanometers.

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A collaborative research team has discovered a new process for making anhydrides that promises improvements in costs and sustainability.

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Autonomous vehicles require object detection systems to navigate traffic and avoid obstacles on the road. However, current detection methods often suffer from diminished detection capabilities due to bad weather, unstructured roads, or occlusion. Now, a team of researchers has developed a novel Internet-of-Things-enabled deep learning-based end-to-end 3D object detection system with improved detection capabilities even under unfavorable conditions. This study marks a significant step in autonomous vehicle object detection technology.

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World War II concluded decades ago, but live mines lurking on the ocean floor still pose threats, potentially spewing unexpected geysers or releasing contaminants into the water. Experts conduct controlled explosions to clear underwater munitions, but concerns have arisen over the environmental impacts from these blasts. New results show that the contamination produced by detonation depends on the blast type, with weaker explosions leaving behind more potentially toxic residues.

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Researchers have developed an AI model that can predict where a drug molecule can be chemically altered.

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Enzymes from microorganisms can produce hydrogen (H2) under certain conditions, which makes them potential biocatalysts for biobased H2 technologies. In order to make this hydrogen production efficient, researchers are trying to identify and eliminate possible limiting factors. These include formaldehyde, which occurs naturally as a metabolic product in cells and inhibits the particularly efficient [FeFe] hydrogenase.

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Used lithium-ion batteries from cell phones, laptops and a growing number of electric vehicles are piling up, but options for recycling them remain limited mostly to burning or chemically dissolving shredded batteries. Researchers have improved on approaches that dissolve the battery in a liquid solution in order to reduce the amount of hazardous chemicals used in the process. This simple, efficient and environmentally-friendly solution overcomes the main obstacles presented by previous approaches.

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New technology often calls for new materials -- and with supercomputers and simulations, researchers don't have to wade through inefficient guesswork to invent them from scratch.

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An inspection design method and procedure by which mobile robots can inspect large pipe structures has been demonstrated with the successful inspection of multiple defects on a three-meter long steel pipe using guided acoustic wave sensors.

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Engineers have come up with a new way to teach robots to know when they don't know. The technique involves quantifying the fuzziness of human language and using that measurement to tell robots when to ask for further directions. Telling a robot to pick up a bowl from a table with only one bowl is fairly clear. But telling a robot to pick up a bowl when there are five bowls on the table generates a much higher degree of uncertainty -- and triggers the robot to ask for clarification.

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Researchers report that they have developed a new composite material designed to change behaviors depending on temperature in order to perform specific tasks. These materials are poised to be part of the next generation of autonomous robotics that will interact with the environment.

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A new technique enables an AI agent to be guided by data crowdsourced asynchronously from nonexpert human users as it learns to complete a task through reinforcement learning. The method trains the robot faster and better than other approaches.

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Researchers have devised a way to produce chemicals used in medicine and agriculture for a fraction of the usual cost. Using oxygen as a reagent and copper as a catalyst to break organic molecules' carbon-carbon bonds and convert them into amines, which are widely used in pharmaceuticals. Traditional metal catalysis uses expensive metals such as platinum, silver, gold and palladium, but the researchers used oxygen and copper -- an abundant base metal.

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Researchers taught an autonomous excavator to construct dry stone walls itself using boulders weighing several tons and demolition debris.

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Tandem solar cells based on perovskite semiconductors convert sunlight to electricity more efficiently than conventional silicon solar cells. In order to make this technology ready for the market, further improvements with regard to stability and manufacturing processes are required. Researchers have succeeded in finding a way to predict the quality of the perovskite layers and consequently that of the resulting solar cells: Assisted by Machine Learning and new methods in Artificial Intelligence (AI), it is possible assess their quality from variations in light emission already in the manufacturing process.

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Researchers have developed a new method for the accurate determination of the water content of water-soluble compounds. This plays a significant role in various areas, including determining drug dosages.

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Global measurements and model calculations show that the complex relationship between the chemistry and climate impact of aerosol particles can be successfully captured by a simple formula.

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Using 700 years' worth of wave data from more than a billion waves, scientists have used artificial intelligence to find a formula for how to predict the occurrence of these maritime monsters. Long considered myth, freakishly large rogue waves are very real and can split apart ships and even damage oil rigs.