LEADER 04069nam 22007455 450 001 9910831008403321 005 20251009100118.0 010 $a3-031-49121-1 024 7 $a10.1007/978-3-031-49121-4 035 $a(MiAaPQ)EBC31124758 035 $a(Au-PeEL)EBL31124758 035 $a(MiAaPQ)EBC31132642 035 $a(Au-PeEL)EBL31132642 035 $a(DE-He213)978-3-031-49121-4 035 $a(CKB)30305842300041 035 $a(EXLCZ)9930305842300041 100 $a20240205d2023 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 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 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 LEADER 04598nam 2200721 a 450 001 9910966871203321 005 20251017110106.0 010 $a9786612644863 010 $a9780309153706 010 $a0309153700 010 $a9781282644861 010 $a1282644866 010 $a9780309149433 010 $a0309149436 035 $a(CKB)2670000000040024 035 $a(EBL)3378621 035 $a(SSID)ssj0000429259 035 $a(PQKBManifestationID)11249697 035 $a(PQKBTitleCode)TC0000429259 035 $a(PQKBWorkID)10429978 035 $a(PQKB)11505641 035 $a(Au-PeEL)EBL3378621 035 $a(CaPaEBR)ebr10395835 035 $a(CaONFJC)MIL264486 035 $a(OCoLC)923281823 035 $a(MiAaPQ)EBC3378621 035 $a(Perlego)4739901 035 $a(DNLM)1587053 035 $a(BIP)29836142 035 $a(EXLCZ)992670000000040024 100 $a20100804d2010 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aSynthetic biology $ebuilding on nature's inspiration : interdisciplinary research team summaries : Conference, Arnold and Mabel Beckman Center, Irvine, California, November 20-22, 2009 205 $a1st ed. 210 $aWashington, D.C. $cNational Academies Press$d2010 215 $a1 online resource (120 p.) 300 $aDescription based upon print version of record. 311 08$a9780309149426 311 08$a0309149428 320 $aIncludes bibliographical references. 327 $a""Front Matter""; ""The National Academies Keck Futures Initiative""; ""Preface""; ""Contents""; ""Conference Summary""; ""IDR Team Summary 1: What new foundational technologies and tools are required to make biology easier to engineer?""; ""IDR Team Summary 2: What are the significant differences, if any, between risk assessment capacity and religious analyses of the moral permissibly for synthetic biology applications and other biotechnology applications?"" 327 $a""IDR Team Summary 3: Reconstructing gene circuitry: How can synthetic biology lead us to an understanding of the principles underlying natural genetic circuits and to the discovery of new biology?""""IDR Team Summary 4: Designing communities of cells: how do we create communication and collaboration between cells to allow for specialization and division of labor?""; ""IDR Team Summary 5: Why are human-designed biological circuits and devices fragile and inaccurate relative to their natural counterparts?"" 327 $a""IDR Team Summary 6: How can genomics be leveraged to develop coherent approaches for rapidly exploring the biochemical diversity in and engineering of non-model organisms?""""IDR Team Summary 7: How do we move beyond genetics to engage chemical and physical approaches to synthetic biology?""; ""IDR Team Summary 8: What is the role of evolution and evolvability in synthetic biology?""; ""IDR Team Summary 9: How do we maximally capitalize on the promise of synthetic biology?""; ""Appendixes""; ""List of Synthetic Biology Podcast Tutorials""; ""Agenda""; ""Participants"" 330 $aSynthetic biology is an innovative and growing field that unites engineering and biology. It builds on the powerful research that came about as a result of a recombinant DNA technology and genome sequencing. By definition, synthetic biology is an interdisciplinary enterprise comprising biologists of many specialties, engineers, physicists, computer scientists and others. It promises a fundamentally deeper understanding of how living systems work and the capacity to recreate them for medicine, public health and the environment, including renewable energy. NAKFI Synthetic Biology: Building a Nation's Inspiration discusses new foundational technologies and tools required to make biology easier to engineer, considers ethical issues unique to synthetic biology, explores how synthetic biology can lead to an understanding of the principles underlying natural genetic circuits and debates how synthetic biology can be used to answer fundamental biological questions. 606 $aSynthetic biology$vCongresses 606 $aBioengineering$vCongresses 606 $aBiotechnology$vCongresses 615 0$aSynthetic biology 615 0$aBioengineering 615 0$aBiotechnology 676 $a570.7 712 02$aArnold and Mabel Beckman Center. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910966871203321 996 $aSynthetic Biology$91413076 997 $aUNINA