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010   $a3-031-49121-1
024 7 $a10.1007/978-3-031-49121-4
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035   $a(DE-He213)978-3-031-49121-4
035   $a(CKB)30305842300041
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100   $a20240205d2024      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aInformation-Powered Engines /$fby Tushar Kanti Saha
205   $a1st ed. 2024.
210  1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024.
215   $a1 online resource (146 pages)
225 1 $aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5061
311 08$aPrint version: Saha, Tushar Kanti Information-Powered Engines Cham : Springer International Publishing AG,c2024 9783031491207 
320   $aIncludes bibliographical references.
327   $aChapter 1. Introduction -- Chapter 2. Theory background -- Chapter 3. Experimental Apparatus -- Chapter 4. High-performance information engine -- Chapter 5. Trajectory control using an information engine -- Chapter 6. Bayesian information engine -- Chapter 7. Information engine in a nonequilibrium bath -- Chapter 8. Identifying information engines -- Chapter 9. Conclusion.
330   $aThis book presents the experimental development of an information-powered engine inspired by the famous thought experiment, Maxwell?s demon, to understand its potential to produce energy for practical purposes. The development of an engine based on Maxwell?s demon was for a long time inconceivable, but technological advances have led to novel investigations into theoretical and practical applications. The built information engine consists of a micron-sized glass bead trapped in a tightly focused laser beam. It rectifies the bead's Brownian motion by controlling the laser's position and generates a unidirectional motion against gravity without doing any work, thus converting thermal heat into stored gravitational potential energy. A theoretical model based on a spring-mass system describes the engine's dynamics and was then used to find optimum parameters to improve the engine's performance. Experimentally implementing these optimization strategies led to engine output powers comparable to those measured in biological motors. This book also highlights performance improvements made in the presence of measurement noise and presents important guiding principles to design information engines to operate in non-equilibrium environments. By focusing on practical applications, the book overall aims to broaden the scope of information-engine investigations. .
410  0$aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5061
606   $aThermodynamics
606   $aCoding theory
606   $aInformation theory
606   $aOptics
606   $aStatistical Physics
606   $aBiophysics
606   $aBiomolecules
606   $aThermodynamics
606   $aCoding and Information Theory
606   $aLight-Matter Interaction
606   $aStatistical Physics
606   $aMolecular Biophysics
615  0$aThermodynamics.
615  0$aCoding theory.
615  0$aInformation theory.
615  0$aOptics.
615  0$aStatistical Physics.
615  0$aBiophysics.
615  0$aBiomolecules.
615 14$aThermodynamics.
615 24$aCoding and Information Theory.
615 24$aLight-Matter Interaction.
615 24$aStatistical Physics.
615 24$aMolecular Biophysics.
676   $a332.04101
700   $aSaha$b Tushar Kanti$01680159
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910831008403321
996   $aInformation-Powered Engines$94048747
997   $aUNINA