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One of the most advanced and challenging topics in modern reticular chemistry is structure multivariation. This Perspective defines the fundamentals of multivariation by considering sequences of chemical species as its true essence, thereby addressing the classification of multivariate structures and presenting new concepts for their analysis and application.
Machine learning is poised to accelerate the development of technologies for a renewable energy future. This Perspective highlights recent advances and in particular proposes Acc(X)eleration Performance Indicators (XPIs) to measure the effectiveness of platforms developed for accelerated energy materials discovery.
This Perspective compares the attributes of nanoparticles versus microparticles as the active electrode material in lithium-ion batteries. We propose that active material particles used in future batteries should be inherently multiscale to capture the best of both worlds.
