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MIT team develops approach to control dendrite propagation in solid-state batteries

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MIT researchers led by MIT Professor and colleagues at Brown University have developed an approach to controlling dendrite propagation in solid-state batteries. The process of dendrite formation normally takes place deep within the opaque materials of the battery cell and cannot be observed directly.

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MIT team develops data-driven safety envelope for lithium-ion batteries for EVs

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Researchers at MIT, with a colleague from Tsinghua University, have developed a safety envelope for Li-ion batteries in electric vehicles by using a high accuracy finite element model of a pouch cell to produce more than 2,500 simulations and subsequently analyzing the data with Machine Learning (ML) algorithms.

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MIT: hybrid cathodes could boost energy capacity of lithium-sulfur batteries

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Researchers at MIT and in China are proposing a new class of dense intercalation-conversion hybrid cathodes by combining intercalation-type Mo 6 S 8 with conversion-type sulfur (HMSC) to realize a Li–S full cell. electrolyte) and eventually redeposit somewhere else as solid phases. … The net effect of using the new material is substantial.

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MIT researchers develop optimized sulfidation separation process for rare earth and other key metals

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New processing methods developed by MIT researchers could help ease looming shortages of the essential metals that power everything from phones to automotive batteries by making it easier to separate these rare metals from mining ores and recycled materials. A paper on their work is published in the journal Nature. —Caspar Stinn.

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Cornell team develops aluminum-anode batteries with up to 10,000 cycles

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Friend Family Distinguished Professor of Engineering, have been exploring the use of low-cost materials to create rechargeable batteries that will make energy storage more affordable. These materials could also provide a safer and more environmentally friendly alternative to lithium-ion batteries. They also have a very long cycle life.

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MIT, Stanford and Toyota Research Institute use AI to predict accurately the useful life of batteries

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Scientists at the Massachusetts Institute of Technology (MIT), Stanford University and the Toyota Research Institute (TRI) have discovered that combining comprehensive experimental data and artificial intelligence provide the key for accurately predicting the useful life of lithium-ion batteries before their capacities started to wane.

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SLAC, MIT, TRI researchers advance machine learning to accelerate battery development; insights on fast-charging

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Scientists have made a major advance in harnessing machine learning to accelerate the design for better batteries. He said the results overturn long-held assumptions about how lithium-ion batteries charge and discharge and give researchers a new set of rules for engineering longer-lasting batteries.

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