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Gluing soft materials without glue
Science News from research organizations 1 2 Date: May 3, 2023 Source: American Chemical Society Summary: If you’re a fan of arts and crafts, you’re likely familiar with the messy, sticky, frustration-inducing nature of liquid glues. But researchers now have a brand-new way to weld squishy stuff together without the need for glue at all. They’ve demonstrated a universal, ‘electroadhesion’ technique that can adhere soft materials to each other just by running electricity through them. Share: advertisement FULL STORY If you’re a fan of arts and crafts, you’re likely familiar with the messy, sticky, frustration-inducing nature of liquid glues. But researchers reporting in ACS Applied Materials & Interfaces now have a brand-new way to weld squishy stuff together without the need for glue at all. They’ve demonstrated a universal, “electroadhesion” technique that can adhere soft materials to each other just by running electricity through them. There’s a glue out there for almost any situation, whether it involves plastic, fabric, wood or beyond. But things get a bit tricky when materials are soft and squishy, like tissues or engineered organs. Strategies including 3D-printing avoid glues altogether by fusing together an entire structure — such as an organ — all at once. But this can be slow and laborious, and require advanced technical equipment. Another alternative could be electroadhesion, in which an electric field is used to hold oppositely charged materials together, forming attachments between the materials’ components. This can involve chemical bonds, like ionic bonds, or more physical connections, like ensnaring polymer chains together. Plus, it works with little more than a household battery and pencil lead. Previously, Srinivasa Raghavan and colleagues showed that electroadhesion could reversibly hold a gel to a tissue without the need for sutures. But now, they wanted to see if the technique could work for any two materials, given that they had opposite charges, to precisely and reversibly hold them together. To explore the phenomenon, the team tested a gel in addition to three types of capsules made of alginate or chitosan — both naturally occurring polymers — that were either positively or negatively charged. When attached to graphite electrodes and exposed to a 10-V electric field for around 10 seconds, the oppositely charged materials stuck together. This bond was strong enough to withstand gravity, and evidence from previous experiments suggests it could last for years. By reversing the flow of electricity, however, the bond was easily broken. The team assembled chains and even 3D cubes out of individual, spherical capsules. The researchers also used electroadhesion to sort capsules by their charges, either by laying a charged gel on top of several capsules, or by touching them with a fingertip “robot” that adhered the capsules to themselves. The researchers say that this work demonstrates the universality of electroadhesion and could one day be used in robotics and tissue engineering. Video: https://youtu.be/QMSWC1Egn1A advertisement Story Source: Materials provided by American Chemical Society. Note: Content may be edited for style and length. Journal Reference: Leah K. Borden, Ankit Gargava, Uma J. Kokilepersaud, Srinivasa R. Raghavan. Universal Way to “Glue” Capsules and Gels into 3D Structures by Electroadhesion. ACS Applied Materials & Interfaces, 2023; 15 (13): 17070 DOI: 10.1021/acsami.2c20793 Cite This Page: American Chemical Society. “‘Gluing’ soft materials without glue.” ScienceDaily. ScienceDaily, 3 May 2023. . American Chemical Society. (2023, May 3). ‘Gluing’ soft materials without glue. ScienceDaily. Retrieved May 3, 2023 from https://ift.tt/QbWaZ5V American Chemical Society. “‘Gluing’ soft materials without glue.” ScienceDaily. https://ift.tt/QbWaZ5V (accessed May 3, 2023).
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The molecule is unusual and has 'great potential' in catalysis, conduction and other applications. -- ScienceDaily
The molecule is unusual and has ‘great potential’ in catalysis, conduction and other applications. — ScienceDaily
Scientists at Kyoto University’s Institute for Cell-Material Sciences have discovered a novel cluster compound that could prove useful as a catalyst. Compounds, called polyoxometalates, contain a large metal-oxide cluster carry a negative charge. They are found everywhere, from anti-viral medicines to rechargeable batteries and flash memory devices.
The new cluster compound is a hydroxy-iodide…
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#Applications#catalysis#Chemistry; Materials Science; Inorganic Chemistry; Spintronics; Organic Chemistry; Physics; Biochemistry; Engineering and Construction#conduction#Great#molecule#potential#ScienceDaily#Unusual
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Lifespan of solid-state lithium batteries extended
Researchers have successfully increased the lifespan and stability of solid-state lithium-ion batteries, creating a viable approach for future widespread usage.
Latest Science News -- ScienceDaily https://www.sciencedaily.com/releases/2022/06/220608112514.htm
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via Batteries News -- ScienceDaily A new type of flow battery that involves a liquid metal more than doubled the maximum voltage of conventional flow batteries and could lead to affordable storage of renewable power.
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Researchers have developed a new battery anode that overcomes the limitations of lithium-ion batteries and offers a stable, high-performance battery using seawater as the electrolyte.
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New class of cobalt-free cathodes could enhance energy density of next-gen lithium-ion batteries -- ScienceDaily
New class of cobalt-free cathodes could enhance energy density of next-gen lithium-ion batteries — ScienceDaily
Oak Ridge National Laboratory researchers have developed a new family of cathodes with the potential to replace the costly cobalt-based cathodes typically found in today’s lithium-ion batteries that power electric vehicles and consumer electronics.
The new class called NFA, which stands for nickel-, iron- and aluminum-based cathode, is a derivative of lithium nickelate and can be used to make…
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New class of cobalt-free cathodes could enhance energy density of next-gen lithium-ion batteries -- ScienceDaily
New class of cobalt-free cathodes could enhance energy density of next-gen lithium-ion batteries — ScienceDaily
Oak Ridge National Laboratory researchers have developed a new family of cathodes with the potential to replace the costly cobalt-based cathodes typically found in today’s lithium-ion batteries that power electric vehicles and consumer electronics.
The new class called NFA, which stands for nickel-, iron- and aluminum-based cathode, is a derivative of lithium nickelate and can be used to make…
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AI Being Applied to Improve Health, Better Predict Life of Batteries
Researchers are employing AI techniques to study how to extend the life of batteries needed to power next generation devices. (Thomas Kelley on Unsplash)
By AI Trends Staff
AI techniques are being applied by researchers aiming to extend the life and monitor the health of batteries, with the aim of powering the next generation of electric vehicles and consumer electronics.
Researchers at Cambridge and Newcastle Universities have designed a machine learning method that can predict battery health with ten times the accuracy of the current industry standard, according to an account in ScienceDaily. The promise is to develop safer and more reliable batteries.
In a new way to monitor batteries, the researchers sent electrical pulses into them and monitored the response. The measurements were then processed by a machine learning algorithm to enable a prediction of the battery’s health and useful life. The method is non-invasive and can be added on to any battery system.
The inability to predict the remaining useful charge in lithium-ion batteries is a limitation to the adoption of electric vehicles, and annoyance to mobile phone users. Current methods for predicting battery health are based on tracking the current and voltage during battery charging and discharging. The new methods capture more about what is happening inside the battery and can better detect subtle changes.
“Safety and reliability are the most important design criteria as we develop batteries that can pack a lot of energy in a small space,” stated Dr. Alpha Lee from Cambridge’s Cavendish Laboratory, who co-led the research. “By improving the software that monitors charging and discharging, and using data-driven software to control the charging process, I believe we can power a big improvement in battery performance.”
Dr. Alpha Lee, Cavendish Laboratory, Cambridge University
The researchers performed over 20,000 experimental measurements to train the model in how to spot signs of battery aging. The model learns how to distinguish important signals from irrelevant noise. The model learns which electrical signals are most correlated with aging, which then allows the researchers to design specific experiments to probe more deeply why batteries degrade.
“Machine learning complements and augments physical understanding,” stated co-author Dr Yunwei Zhang, also from the Cavendish Laboratory, in .”The interpretable signals identified by our machine learning model are a starting point for future theoretical and experimental studies.”
Department of Energy Researchers Using AI Computer Vision Techniques
Researchers at the Department of Energy’s SLAC National Accelerator Laboratory are using AI computer vision techniques to study battery life. The scientists are combining machine learning algorithms with X-ray tomography data to produce a detailed picture of degradation in one battery component, the cathode, according to an account in SciTechDaily. The referenced study was published in Nature Communications.
Dr. Yunwei Zhang, Cavendish Laboratory, Cambridge University
For cathodes made of nickel-manganese-cobalt (NMC) particles are held together by a conductive carbon matrix. Researchers have speculated that a cause of battery performance decline could be particles breaking away from that matrix. The team had access to advanced capabilities at SLAC’s Stanford Synchrotron Radiation Lightsource (SSRL), a unit of the Department of Energy operated by Stanford University, and the European Synchrotron Radiation Facility (ESRF), a European collaboration for the advancement of X-rays, based in Grenoble, France. The goal was to build a picture of how NMC particles break apart and away from the matrix, and how that relates to battery performance loss.
The team turned to computer vision with AI capability to help conduct the research. They needed a machine learning model to train the data in how to recognize different types of particles, so they could develop a three-dimensional picture of how NMC particles, large or small, break away from the cathode.
The authors encouraged more research into battery health. “Our findings highlight the importance of precisely quantifying the evolving nature of the battery electrode’s microstructure with statistical confidence, which is a key to maximize the utility of active particles towards higher battery capacity,” the authors stated.
(Citation: Jiang, Z., Li, J., Yang, Y. et al. Machine-learning-revealed statistics of the particle-carbon/binder detachment in lithium-ion battery cathodes. Nat Commun 11, 2310 (2020). https://doi.org/10.1038/s41467-020-16233-5)
(For an account of how researchers from Stanford University, MIT and the Toyota Research Institute are studying radical reductions in electric-vehicle charging times, see AI Trends.).
See the source articles in ScienceDaily, SciTech Daily and Nature Communications.
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The post AI Being Applied to Improve Health, Better Predict Life of Batteries appeared first on abangtech.
from abangtech https://abangtech.com/ai-being-applied-to-improve-health-better-predict-life-of-batteries/
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Lithium-ion batteries that last longer in extreme cold
When temperatures fall below freezing, cellphones need to be recharged frequently, and electric cars have shorter driving ranges. This is because their lithium-ion batteries' anodes get sluggish, holding less charge and draining energy quickly. To improve electrical performance in the extreme cold, researchers have replaced the traditional graphite anode in a lithium-ion battery with a bumpy carbon-based material, which maintains its rechargeable storage capacity down to -31 F.
Latest Science News -- ScienceDaily https://www.sciencedaily.com/releases/2022/06/220608091429.htm
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via Batteries News -- ScienceDaily The world is a big place, but it's gotten smaller with the advent of technologies that put people from across the globe in the palm of one's hand. And as the world has shrunk, it has also demanded that things happen ever faster -- including the time it takes to charge an electronic device.
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New NiMH batteries perform better when made from recycled old NiMH batteries Latest Science News -- ScienceDaily New NiMH batteries perform better when made from recycled old NiMH batteries #EngineeringCy A new method for recycling old batteries can provide better performing and cheaper rechargeable hydride batteries (NiMH) as shown in a new study. A new method for recycling old batteries can provide better performing and cheaper rechargeable hydride batteries (NiMH) as shown in a new study.
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Researchers have developed a battery anode based on a new nanostructured alloy that could revolutionize the way energy storage devices are designed and manufactured.
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New device enables battery-free computer input at the tip of your finger -- ScienceDaily via /r/Futurology https://ift.tt/2OQ4qKk
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New electrolyte stops fast efficiency decline of next-generation lithium battery -- ScienceDaily
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Hydrogen-bromide flow batteries could soon power the renewable energy industry (but release a dangerous, toxic gas)
(Natural News) An energy storage concept from the Radical ’60s could solve the biggest problem of the wind energy sector. In an article published in ScienceDaily, Kansas researchers have developed a viable hydrogen-bromine flow battery that could store excess electricity during the night. Anyone who has been in the Midwest is bound to run across a wind...
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via Batteries News -- ScienceDaily Among the chief complaints for smartphone, laptop and other battery-operated electronics users is that the battery life is too short and -- in some cases -- that the devices generate heat. Now, a group of physicists has developed a device material that can address both issues. The team has applied for a patent for a magnetic material that employs a unique structure -- a 'honeycomb' lattice that exhibits distinctive electronic properties.
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