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University of Toronto, Schwartz Reisman Institute for Technology and Society, Natural Resources Canada, Vector Institute for Artificial Intelligence
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Shifting the critical frequency in EIS measurements can drastically cut down acquisition time while maintaining accuracy, revolutionizing how we approach electrochemical characterization.
Don't let your materials science dataset become obsolete: a diversity-aware construction framework can boost performance on both targeted and *untargeted* properties by up to 40%.
