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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. —Caspar Stinn. —Antoine Allanore.

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MIT Professor’s IoT Sensors Make Roads Safer

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Back in 2005, before smartphones were generally available, MIT Professor Hari Balakrishnan was so fed up with commuting delays in Boston that he built a mobile system to monitor road conditions. in computer science at the University of California, Berkeley , he became passionate about conducting research, he says.

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MIT Looks Ahead to Hydrogen’s Aviation Future

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John Hansman , an aeronautics and astronautics professor at MIT and director of the university’s International Center for Air Transportation. Universal Hydrogen is developing modular hydrogen capsules, which can each carry around 200 kilograms of liquid hydrogen. asks Professor R. The first challenge is hydrogen production.

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Ford kicks off new automated driving research projects with MIT and Stanford University

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Building on the capabilities of the automated Ford Fusion Hybrid research vehicle unveiled last month ( earlier post ), Ford is working with the Massachusetts Institute of Technology (MIT) and Stanford University to research and to develop solutions to some of the technical challenges surrounding automated driving. —Greg Stevens.

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NREL, MIT, WSU team develops process to convert lignin to aromatic blendstock for 100% sustainable aviation fuel

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Although electrification has shown promise toward reducing the carbon footprint of passenger vehicles, aviation remains dependent on hydrocarbon fuels due to their high energy density relative to even the most advanced battery technologies available today.

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How MIT’s Muriel Medard Pioneered the Universal Decoder

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The MIT electrical engineering and computer science professor’s positive thinking has led to new ways to improve tried-and-true techniques in the field of information theory. The chip uses a new algorithm the team developed with Ken Duffy from Maynooth University : guessing random additive noise decoding (GRAND).

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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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