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SUMMARY:Feedback control and the Second Law of thermodynamics in a ratchet
  physical system
DTSTART;VALUE=DATE-TIME:20260416T215000Z
DTEND;VALUE=DATE-TIME:20260416T221000Z
DTSTAMP;VALUE=DATE-TIME:20260412T072509Z
UID:indico-contribution-346@fisindico.uniandes.edu.co
DESCRIPTION:Speakers: David Calderón Gómez (Universidad de los Andes)\nW
 e simulate a realization of Maxwell’s demon based on the experimental se
 tup developed in \\textit{Bayesian Information Engine that Optimally Explo
 its Noisy Measurements}\, in which a heavy bead\, immersed in water at roo
 m temperature\, is trapped by an optical tweezer and lifted through rapid 
 feedback control without net work expenditure. This system functions as an
  information engine\, harnessing favorable thermal fluctuations to increas
 e the bead’s gravitational potential energy while keeping the trap’s p
 otential energy unchanged. Our simulations successfully reproduce key expe
 rimental findings regarding the engine’s performance across a range of n
 oisy measurements and verify the Generalized Jarzynski Inequality. In cont
 rast to previous works that employ a Langevin dynamics approach\, we imple
 ment a molecular dynamics algorithm to model the system. Our results confi
 rm that the Generalized Jarzynski Inequality holds for all tested cases\, 
 by a significant margin. This study contributes to the theoretical underst
 anding of the thermodynamics of mesoscopic systems under feedback control 
 and further reinforces the fundamental connection between information and 
 thermodynamics.\n\nhttps://fisindico.uniandes.edu.co/event/23/contribution
 s/346/
LOCATION:Universidad de los Andes
URL:https://fisindico.uniandes.edu.co/event/23/contributions/346/
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