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Categories: Chemistry: General, Engineering: Robotics Research
Published Scientists use peroxide to peer into metal oxide reactions



Researchers to get a better look at how peroxides on the surface of copper oxide promote the oxidation of hydrogen but inhibit the oxidation of carbon monoxide, allowing them to steer oxidation reactions.
Published Toward tunable molecular switches from organic compounds



Newly synthesized organic molecules can be tuned to emit different colors depending on their molecular structures in crystal form.
Published New atomic-scale understanding of catalysis could unlock massive energy savings



In an advance they consider a breakthrough in computational chemistry research, chemical engineers have developed a model of how catalytic reactions work at the atomic scale. This understanding could allow engineers and chemists to develop more efficient catalysts and tune industrial processes -- potentially with enormous energy savings, given that 90% of the products we encounter in our lives are produced, at least partially, via catalysis.
Published Long-forgotten equation provides new tool for converting carbon dioxide



To manage atmospheric carbon dioxide and convert the gas into a useful product, scientists have dusted off an archaic -- now 120 years old -- electrochemical equation.
Published Two-dimensional nanoparticles with great potential



A research team has discovered how catalysts and many other nanoplatelets can be produced in an environmentally friendly way from readily available materials and in sufficient quantities.
Published Opening a new frontier: PdMo intermetallic catalyst for promoting CO2 utilization



A recently discovered catalyst, can convert carbon dioxide (CO2) into useful methanol at room temperature and low-pressure conditions. This novel compound, which is thermally and chemically stable in air, represents a new milestone in CO2 conversion via hydrogenation and could be key to slow down climate change.
Published Robots predict human intention for faster builds



Humans have a way of understandings others' goals, desires and beliefs, a crucial skill that allows us to anticipate people's actions. Taking bread out of the toaster? You'll need a plate. Sweeping up leaves? I'll grab the green trash can. This skill, often referred to as 'theory of mind,' comes easily to us as humans, but is still challenging for robots. But, if robots are to become truly collaborative helpers in manufacturing and in everyday life, they need to learn the same abilities. Computer science researchers aim to teach robots how to predict human preferences in assembly tasks, so they can one day help out on everything from building a satellite to setting a table.
Published DMI allows magnon-magnon coupling in hybrid perovskites



An international group of researchers has created a mixed magnon state in an organic hybrid perovskite material by utilizing the Dzyaloshinskii--Moriya-Interaction (DMI). The resulting material has potential for processing and storing quantum computing information.
Published Scientists use computational modeling to design 'ultrastable' materials



Researchers developed a computational approach to predict which metal-organic framework (MOF) structures will be the most stable, and therefore the best candidates for applications such as capturing greenhouse gases.
Published Discovery of crucial clue to accelerate development of carbon-neutral porous materials



A recent study has provided a library of those various molecular clusters for future metal building blocks of MOFs, and suggested practical synthetic strategies.
Published New cyber software can verify how much knowledge AI really knows



With a growing interest in generative artificial intelligence (AI) systems worldwide, researchers have created software that is able to verify how much information an AI farmed from an organization's digital database.
Published Major storage capacity in water-based batteries



Chemical engineers have discovered a 1,000% difference in the storage capacity of metal-free, water-based battery electrodes.
Published Origami-inspired robots can sense, analyze and act in challenging environments


A multidisciplinary team has created a new fabrication technique for fully foldable robots that can perform a variety of complex tasks without relying on semiconductors.
Published Strong ultralight material could aid energy storage, carbon capture



Materials scientists showed that fine-tuning interlayer interactions in a class of 2D polymers can determine the materials' loss or retention of desirable mechanical properties in multilayer or bulk form.
Published Robotic hand can identify objects with just one grasp


Newly created soft-rigid robotic fingers incorporate powerful sensors along their entire length, enabling them to produce a robotic hand that could accurately identify objects after only one grasp.
Published Forgive or forget: What happens when robots lie?



Student researchers investigate how intentional robot deception affects trust, examining the effectiveness of apologies after robots lie.
Published Plastic transistor amplifies biochemical sensing signal



New transistor technology boosts the body's electrochemical signals by 1,000 times, enabling diagnostic and disease-monitoring implants.
Published Path to net-zero carbon capture and storage may lead to ocean


Engineering researchers have developed a novel way to capture carbon dioxide from the air and store it in the 'infinite sink' of the ocean. The approach uses an innovative copper-containing polymeric filter and essentially converts CO2 into sodium bicarbonate (aka baking soda) that can be released harmlessly into the ocean. This new hybrid material, or filter, is called DeCarbonHIX (i.e., decarbonization through hybrid ion exchange material). The research has demonstrated a 300 percent increase in the amount of carbon captured compared with existing direct air capture methods.
Published Microrobot technology: Externally connecting in vivo neural networks


Researchers have developed a technology for delivering a microrobot to a target point of a hippocampus in an in-vitro environment, connecting neural networks, and measuring neural signals. The findings are expected to contribute to neural network research and the verification and analysis of cell therapy products.
Published AI predicts enzyme function better than leading tools



A new artificial intelligence tool can predict the functions of enzymes based on their amino acid sequences, even when the enzymes are unstudied or poorly understood. Researchers said the AI tool, dubbed CLEAN, outperforms the leading state-of-the-art tools in accuracy, reliability and sensitivity. Better understanding of enzymes and their functions would be a boon for research in genomics, chemistry, industrial materials, medicine, pharmaceuticals and more.