21 citations · 35 across the 5 of their papers we have counts for
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physics.comp-ph2020
Accelerating the identification of informative reduced representations of proteins with deep learning for graphs
Federico Errica, Marco Giulini, Davide Bacciu +3
The limits of molecular dynamics (MD) simulations of macromolecules are steadily pushed forward by the relentless developments of computer architectures and algorithms. This explos…
cond-mat.stat-mech2020
An information theory-based approach for optimal model reduction of biomolecules
Marco Giulini, Roberto Menichetti, M. Scott Shell +1
In the theoretical modelling of a physical system a crucial step consists in the identification of those degrees of freedom that enable a synthetic, yet informative representation…