Hanan Kalaz

Individual layers of synthetic materials can collaborate for greater impact

Millions of years of evolution have enabled some marine animals to grow complex protective shells composed of multiple layers that work together to dissipate physical stress. In a new study, engineers have found a way to mimic the behavior of this type of layered material, such as seashell nacre, by programming individual layers of synthetic

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UCF’s ‘bridge doctor’ combines imaging, neural network to efficiently evaluate concrete bridges’ safety

New research details how infrared thermography, high-definition imaging and neural network analysis can combine to make concrete bridge inspections more efficient. Researchers are hopeful that their findings can be leveraged by engineers through a combination of these methods to strategically pinpoint bridge conditions and better allocate repair costs.

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Hexagons for data protection: Proof of location without disclosing personal data

Location data is considered particularly sensitive — its misuse can have serious consequences. Researchers have now developed a method that allows individuals to cryptographically prove their location — without revealing it. The foundation of this method is the so-called zero-knowledge proof with standardized floating-point numbers.

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A novel hybrid charge transfer crystal with reversible color-changing property

Charge transfer, or the movement of electrons, can occur either within a molecule or between two molecules. Combining the two types of charge transfer is challenging. Now, scientists have developed a hybrid charge transfer crystal using a novel pyrazinacene molecule. This crystal is capable of reacting with naphthalene to produce a reversible color shift, from

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New dual-atom catalyst boosts performance of zinc-air batteries for real-world applications

A research team has unveiled a breakthrough in improving the performance of zinc-air batteries (ZABs), which are an important energy storage technology. This breakthrough involves a new catalyst that significantly boosts the efficiency of the oxygen reduction reaction (ORR), a crucial process in ZABs. The development could lead to more efficient, long-lasting batteries for practical

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Researchers develop new metallic materials using data-driven frameworks and explainable AI

Found in knee replacements and bone plates, aircraft components, and catalytic converters, the exceptionally strong metals known as multiple principal element alloys (MPEA) are about to get even stronger through to artificial intelligence. Scientists have designed a new MPEA with superior mechanical properties using a data-driven framework that leverages the supercomputing power of explainable artificial

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