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Categories: Energy: Technology, Engineering: Robotics Research

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Energy harvesting, an eco-friendly technology, extends beyond solar and wind power in generating electricity from unused or discarded energy in daily life, including vibrations generated by passing car engines or trains. Recent intriguing research has been announced, aiming to enhance the efficiency of energy harvesting using a new type of metasurface that can be reconfigured, resembling the assembly of LEGO bricks.

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Researchers are using semiconductors to harvest and convert the sun's energy into high-energy compounds that have the potential to produce environmentally-friendly fuels.

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An international team working with single-atom thick crystals found TaIrTe4's transition between the two distinct topological states of insulation and conduction. The material exhibited zero electrical conductivity within its interior, while its boundaries remain conductive. The team's investigation determined that the two topological states stem from disparate origins. The novel properties can serve as a promising platform for exploring exotic quantum phases and electromagnetism.

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Among the many chemicals we use every day, ammonia is one of the worst for the atmosphere. The nitrogen-based chemical used in fertilizer, dyes, explosives and many other products ranks second only to cement in terms of carbon emissions, due to the high temperatures and energy needed to manufacture it. But by improving on a well-known electrochemical reaction and orchestrating a 'symphony' of lithium, nitrogen and hydrogen atoms, engineers have developed a new ammonia production process that meets several green targets.

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A research team has addressed the long-standing challenge of creating artificial olfactory sensors with arrays of diverse high-performance gas sensors. Their newly developed biomimetic olfactory chips (BOC) are able to integrate nanotube sensor arrays on nanoporous substrates with up to 10,000 individually addressable gas sensors per chip, a configuration that is similar to how olfaction works for humans and other animals.

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What would you do if you walked up to a robot with a human-like head and it smiled at you first? You'd likely smile back and perhaps feel the two of you were genuinely interacting. But how does a robot know how to do this? Or a better question, how does it know to get you to smile back?

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Conditions that usually accompany the kind of intense hot and cold weather that strains power grids may also provide greater opportunities to capture solar and wind energy. A study found that widespread, extreme temperature events are often accompanied by greater solar radiation and higher wind speeds that could be captured by solar panels and wind turbines. The research, which looked at extensive heat and cold waves across the six interconnected energy grid regions of the U.S. from 1980-2021, also found that every region experienced power outages during these events in the past decade. The findings suggest that using more renewable energy at these times could help offset increased power demand as more people and businesses turn on heaters or air conditioners.

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From pacemakers to neurostimulators, implantable medical devices rely on batteries to keep the heart on beat and dampen pain. But batteries eventually run low and require invasive surgeries to replace. To address these challenges, researchers have devised an implantable battery that runs on oxygen in the body. The study shows in rats that the proof-of-concept design can deliver stable power and is compatible with the biological system.

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Engineers aim to give robots a bit of common sense when faced with situations that push them off their trained path, so they can self-correct after missteps and carry on with their chores. The team's method connects robot motion data with the common sense knowledge of large language models, or LLMs.

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Pairing cryptocurrency mining -- notable for its outsize consumption of carbon-based fuel -- with green hydrogen could provide the foundation for wider deployment of renewable energy, such as solar and wind power, according to a new study.

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A new iron-based aqueous flow battery shows promise for grid energy storage applications.

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Engineers have discovered a new way to manufacture solar cells using perovskite semiconductors. It could lead to lower-cost, more efficient systems for powering homes, cars, boats and drones.

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A team of researchers has developed a universal approach to controlling robotic exoskeletons that requires no training, no calibration, and no adjustments to complicated algorithms. Instead, users can don the 'exo' and go. Their system uses a kind of artificial intelligence called deep learning to autonomously adjust how the exoskeleton provides assistance, and they've shown it works seamlessly to support walking, standing, and climbing stairs or ramps.

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If it walks like a particle, and talks like a particle... it may still not be a particle. A topological soliton is a special type of wave or dislocation which behaves like a particle: it can move around but cannot spread out and disappear like you would expect from, say, a ripple on the surface of a pond. Researchers now demonstrate the atypical behavior of topological solitons in a robotic metamaterial, something which in the future may be used to control how robots move, sense their surroundings and communicate.

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Scientists unveil next-generation research trends in metaphotonics platforms with AI.

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In a new study, researchers describe a novel approach for a wireless communication network that can efficiently transmit, receive and decode data from thousands of microelectronic chips that are each no larger than a grain of salt.

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New research shows that the next generation of lithium-sulphur (Li||S) batteries may be capable of being charged in less than five minutes, instead of several hours as is currently the case.

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Performing a new task based solely on verbal or written instructions, and then describing it to others so that they can reproduce it, is a cornerstone of human communication that still resists artificial intelligence (AI). A team has succeeded in modelling an artificial neural network capable of this cognitive prowess. After learning and performing a series of basic tasks, this AI was able to provide a linguistic description of them to a 'sister' AI, which in turn performed them.

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Engineers propose a new quantitative framework to account for and predict the impact of temperature on the curing speed of platinum-catalyzed silicone elastomers. The findings could maximize throughput and minimize waste in the manufacturing of components for soft robotics and wearables.

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Automated insulin dosing systems combine low-cost blood-glucose monitors with insulin pumps that use precision dosing to continuously regulate blood-sugar and hold it steady. Synthetic biologists have found a way to piggyback on the technology and make it universally applicable for the precision dosing of virtually any drug.