New machine learning framework makes metal recycling more sustainable without compromising on mechanical properties. Results now published in journal Science Advances.
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The mission of our group is to uncover the fundamental mechanisms of deformation and degradation in battery systems and to leverage mechanical principles to design damage-resilient energy storage systems.
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If manganese nodules can be mined in an environmentally friendly way, the critical metals needed for the energy transition could be produced with low CO2 emissions
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