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MIT team exploring using LOHCs directly on-board hydrogen-fueled trucks

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A team of MIT researchers led by William H. —Prof Green To implement such a design, the team aims to modify the truck’s powertrain to allow onboard hydrogen release from the LOHCs, using waste heat from the engine exhaust to power the dehydrogenation process. Proposed process flow diagram for onboard dehydrogenation.

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MIT team proposes SCR emission control for hybrid aviation turbines; reducing NOx by 95%

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Now, MIT engineers are proposing using an ammonia-based selective catalytic reduction (SCR) system that could result in an approximately 95% reduction in NO x emissions in exchange for a ~0.5% —Steven Barrett, professor of aeronautics and astronautics at MIT and corresponding author. increase in block fuel burn.

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MIT study says combustion emissions cause ~200,000 premature deaths/year in US; vehicles and power generation top sources

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Source: MIT. Researchers from MIT’s Laboratory for Aviation and the Environment have concluded that ground-level PM 2.5 Steven Barrett, an assistant professor of aeronautics and astronautics at MIT, and colleagues have published their results in the journal Atmospheric Environment. Click to enlarge.

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MIT/Tsinghua high-rate aluminum yolk-shell nanoparticle anode for Li-ion battery with long cycle life and high capacity

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A team of researchers at MIT and Tsinghua University has developed a high-rate, high-capacity and long-lived anode for Li-ion batteries comprising a yolk-shell nanocomposite of aluminum core (30 nm in diameter) and TiO 2 shell (~3 nm in thickness), with a tunable interspace (Al@TiO 2 , or ATO). Earlier post.). —Li et al.

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New machine learning method from Stanford, with Toyota researchers, could accelerate battery development for EVs

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Using this methodology, we rapidly identify high-cycle-life charging protocols among 224 candidates in 16 days (compared with over 500 days using exhaustive search without early prediction), and subsequently validate the accuracy and efficiency of our optimization approach. This process iterates until the testing budget is exhausted.

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Video Friday: Monocycle Robot With Legs

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The recent progress in commercial humanoids is just exhausting. Starship ] By blending 2D images with foundation models to build 3D feature fields, a new MIT method helps robots understand and manipulate nearby objects with open-ended language prompts. The bit at the end there was Nadia not quite managing to do lateral arm raises.

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New MIT algorithm helps AI systems dodge adversarial inputs; CARRL

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A new deep-learning algorithm developed by MIT researchers is designed to help machines navigate in the real, imperfect world by building a healthy “skepticism” of the measurements and inputs they receive. This research was supported, in part, by Ford Motor Company as part of the Ford-MIT Alliance. An adversarial world. Resources.

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