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Tech Xplore on MSNPredicting material failure: Machine learning spots early abnormal grain growth signs for safer designsA team of Lehigh University researchers has successfully predicted abnormal grain growth in simulated polycrystalline ...
A team of researchers has successfully predicted abnormal grain growth in simulated polycrystalline materials for the first time -- a development that could lead to the creation of stronger, more ...
Rigid, bulky batteries could one day be replaced by soft, flexible ones, a new paper argues. Scientists at a Swedish ...
A team of Swedish researchers has created a flexible, stretchable battery that can be shaped like toothpaste and embedded in ...
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Emirates Woman on MSN10 UAE sustainable brands redefining eco-luxuryIn the UAE, a land where opulence meets innovation, sustainability is no longer a niche concern but a defining movement in fashion. As the world grapples with climate change and overconsumption, the ...
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Anthropocene Magazine on MSNClearly cool: A transparent paper-based material could replace single-use plasticsThe millimeter-thick paperboard behaves just like plastic; it's strong, transparent, shapeable—and can hold boiling water.
Researchers have created a new plant-based material that could become a strong contender for a plastic replacement.
Researchers at Virginia Tech have found a way to make biodegradable packaging stronger while using less energy in the process ...
Learn about innovative terrazzo designs that promote sustainability while celebrating unique materials in modern architecture ...
An international team of researchers has developed a new method for parameterizing machine-learning interatomic potentials (MLIP) to simulate magnetic materials, making the prediction of their ...
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