A new set of simple equations can fast-track the search for metal-organic frameworks (MOFs), a Nobel-Prize-winning class of nanoporous materials that are promising candidates for clean hydrogen energy storage. With millions of possible MOFs to choose from, the formulas accurately predict how much usable hydrogen each porous crystal can hold, according to a new University of Michigan study.
Amazon and Google are winning the AI capex race but whats the prize?
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