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Author Spotlight: Optimizing Cryo-EM Analysis with CryoSieve for Enhanced Particle Selection Efficiency
Published on: May 10, 2024
Eduardo Fabiano1, Savio Laricchia1, Fabio Della Sala1
1National Nanotechnology Laboratory (NNL), Istituto Nanoscienze-CNR, Via per Arnesano 16, I-73100 Lecce, Italy.
This study extends frozen density embedding theory to handle non-integer particle numbers in subsystems. It analyzes embedding errors and implications for chemical reactivity calculations.
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