Low rattling: a principle for understanding driven many-body self-organization
Event Date:
2020-10-22T16:00:00
2020-10-22T17:00:00
Event Location:
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Speaker:
Jeremy England (Georgia Tech)
URL:
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Intended Audience:
Undergraduate
Local Contact:
Douglas Scott
Event Information:
Self-organization is frequently observed in active collectives, from ant rafts to molecular motor assemblies. General principles describing self-organization away from equilibrium have been challenging to identify. We offer a unifying framework that models the behavior of complex systems as largely random, while capturing their driven response properties. Such a "low-rattling principle" enables prediction and control of fine-tuned emergent properties in disordered mechanical networks, random spin glasses, and robot swarms.
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2020-10-22T16:00:00
2020-10-22T17:00:00
Low rattling: a principle for understanding driven many-body self-organization
Event Information:
Self-organization is frequently observed in active collectives, from ant rafts to molecular motor assemblies. General principles describing self-organization away from equilibrium have been challenging to identify. We offer a unifying framework that models the behavior of complex systems as largely random, while capturing their driven response properties. Such a "low-rattling principle" enables prediction and control of fine-tuned emergent properties in disordered mechanical networks, random spin glasses, and robot swarms.
Event Location:
Connect via zoom