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Combining atomistic simulations and machine learning to predict grain boundary segregation in magnesium alloys

Combining atomistic simulations and machine learning to predict grain boundary segregation in magnesium alloys
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Machine learning guiding engineers toward stronger alloys

Could this new process finally turn polyethylene bags, plastics into something useful?

Could this new process finally turn polyethylene bags, plastics into something useful?

Polyethylene plastics in particular, the ubiquitous plastic bag that blights the landscape are notoriously hard to recycle. They’re sturdy and difficult to break down, and if they’re recycled at all, they’re melted into a polymer stew useful mostly for decking and other low-value products. But a new process developed at the University ofPolyethylene plastics in particular, the ubiquitous plastic bag that blights the landscape are notoriously hard to recycle. They’re sturdy and difficult to break down, and if they’re recycled at all, they’re melted into a polymer stew useful mostly for decking and other low-value products. But a new process developed at the University of » The FINANCIAL News Tech

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