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UID:1788508800@ist.ac.at
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DESCRIPTION:Speaker: Andreas Ehrmann\nhosted by Paul Schanda\nAbstract: Bio
 logy is overwhelmingly good at designing building blocks that are orchestr
 ated in remarkable processes to enable the functioning of complex organism
 s. Is it possible to achieve similar complexity in nanotechnology? The fie
 ld of self-assembly offers a promising route towards bio-inspired function
 ality. While significant progress has been made in the inverse design of c
 omplex structures\, little is currently known about embedding these struct
 ures with dynamics and functional behavior at levels found in biology. Unl
 ike biology\, we do not have million years of evolution to result in optim
 al behavior. We aspire to discover fundamental design principles in simple
  physical systems by taking an optimization approach that builds up on met
 hods developed by the Machine Learning community to achieve a desired func
 tion. Many future nanotechnologies will need to do more than hold a desig
 ned shape: they will need to move\, switch states\, and interact with othe
 r objects in controlled ways. Is it possible to replicate the precise\, ta
 rgeted energy delivery of ATP hydrolysis in synthetic systems\, where we c
 annot rely on biochemical interactions\, to power synthetic nanomachines? 
 In this thesis\, we develop a mechanical model for a controlled energy-del
 ivery mechanism between bistable nanostructures\, and discover key design 
 features necessary to generate a pathway for efficient energy transduction
 . Inspired by the universality of ATP hydrolysis\, this achievement could 
 serve as a scheme for powering more and more complex tasks. We show how bi
 stable nanostructures can be designed so that their conformational changes
  produce a prescribed behavior. By separating the energetic control of a n
 anoscale switch from the geometric placement of its binding sites\, we ide
 ntify which aspects of its energy landscape can be programmed under realis
 tic constraints. The results provide design principles for turning synthet
 ic nanostructures into functional\, machine-like objects. By demonstrating
  how we can translate the scheme for energy delivery to three-state molecu
 lar machines walking along a track at a very basic level\, we take a first
  step towards performing a task. We reveal a fundamental speed-efficiency 
 tradeoff and important design considerations. This research contributes to
 wards designing nanomachines that might eventually be able to contest with
  the levels of complexity and functionality found in biology.
LOCATION:Central Bldg / O1 / Mondi 2a (I01.O1.008)\, ISTA
ORGANIZER:
SUMMARY:Andreas Ehrmann: Thesis Defense: Biological functionality without b
 iochemistry: designing nanomachines for target behavior 
URL:https://talks-calendar.ista.ac.at/events/6578
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