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DTSTAMP:20260425T051627Z
UID:67bc48b5c7348440249910@ist.ac.at
DTSTART:20250911T110000
DTEND:20250911T120000
DESCRIPTION:Speaker: Camilla Beneduce\nhosted by Andela Saric\nAbstract: Se
 lf-assembly is the spontaneous organization of components into defined str
 uctures without external guidance. This phenomenon underpins many natural 
 processes\, and its underlying mechanisms are increasingly being harnessed
  in materials science to construct complex structures with tailored functi
 onalities. Inverse self-assembly seeks to design building blocks that guid
 e the system toward a target structure\, while avoiding kinetic traps and 
 competing assemblies. Despite efforts involving the tuning of interactions
  and the use of complex shapes in single-component colloidal systems\, exp
 erimental realizations remain elusive and often system-specific. We propos
 e a different strategy: designing mixtures. To address the combinatorial c
 omplexity this entails\, we recast the design challenge as a coloring task
 \, which we then map onto a boolean satisfiability problem. This framework
  enables the automated generation of design options for mixtures of patchy
  particles targeting any desired assembly. By testing these candidates thr
 ough numerical simulations\, we gain insights into the self-assembly proce
 ss of multi-component systems. Beyond targeting structural properties\, ou
 r approach can integrate selected thermodynamic requirements directly into
  the design\, enabling the programming of complex phase behaviors and the 
 selection of the most effective self-assembly pathway in multi-component s
 ystems.
LOCATION:Office Bldg West / Ground floor / Heinzel Seminar Room (I21.EG.101
 )\, ISTA
ORGANIZER:cpetz@ist.ac.at
SUMMARY:Camilla Beneduce: Mix\, match\, and assemble: an inverse design app
 roach to tailor materials
URL:https://talks-calendar.ista.ac.at/events/5972
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