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Updated: Aug 5, 2025

Origami Inspired Self-assembly of Patterned and Reconfigurable Particles
Published on: February 4, 2013
Stephen Whitelam1, Jeremy D Schmit2
1Molecular Foundry, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA.
Neuroevolutionary learning optimizes low-dissipation self-assembly protocols for active particles. Fast assembly requires costly self-propulsion, while slow assembly relies on particle attractions, impacting entropy production.
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