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Modern society is witnessing a sea change in ubiquitous computing, in which people have embraced computing systems as an indispensable part of day-to-day existence. Computation, storage, and communication abilities of smartphones, for example, have undergone monumental changes over the past decade. However, global emphasis on creating and sustaining green environments is leading to a rapid and ongoing proliferation of edge computing systems and applications. As a broad spectrum of healthcare, home, and transport applications shift to the edge of the network, near-threshold computing (NTC) is emerging as one of the promising low-power computing platforms. An NTC device sets its supply voltage close to its threshold voltage, dramatically reducing the energy consumption. Despite showing substantial promise in terms of energy efficiency, NTC is yet to see widescale commercial adoption. This is because circuits and systems operating with NTC suffer from several problems, including increased sensitivity to process variation, reliability problems, performance degradation, and security vulnerabilities, to name a few. To realize its potential, we need designs, techniques, and solutions to overcome these challenges associated with NTC circuits and systems. The readers of this book will be able to familiarize themselves with recent advances in electronics systems, focusing on near-threshold computing.
machine learning --- neural networks --- gait analysis --- embedded system --- NTV --- NTC --- low-power --- low-voltage memory and clocking circuits --- minimum-energy design --- power-performance --- resilient adaptive computing --- edge devices --- power management --- energy efficiency --- near-threshold computing (NTC) --- deep neural network (DNN) --- accelerators --- timing error --- AI --- tensor processing unit (TPU) --- multiply and accumulate (MAC) --- reliability --- Near-Threshold Computing --- functional unit --- performance optimization --- cross-layer optimization
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Pursuing a scalable production methodology for materials and advancing it from the laboratory to industry is beneficial to novel daily-life applications. From this perspective, chemical vapor deposition (CVD) offers a compromise between efficiency, controllability, tunability and excellent run-to-run repeatability in the coverage of monolayers on substrates. Hence, CVD meets all of the requirements for industrialization in basically all areas, including polymer coatings, metals, water-filtration systems, solar cells and so on. The Special Issue “Advances in Chemical Vapor Deposition” is dedicated to providing an overview of the latest experimental findings and identifying the growth parameters and characteristics of perovskites, TiO2, Al2O3, VO2 and V2O5 with desired qualities for potentially useful devices.
Technology: general issues --- APCVD --- VO2 --- processing parameters --- 2D --- chemical vapor deposition --- atomic layer deposition --- aluminum oxide --- aluminum tri-sec-butoxide --- thin film --- carbon nanotubes --- residual gas adsorption --- residual gas desorption --- field emission --- atmospheric pressure CVD --- low pressure CVD --- hybrid CVD --- aerosol assisted CVD --- pulsed CVD --- perovskite photovoltaic nanomaterials --- stabilization --- structural design --- performance optimization --- solar cells --- anatase single crystals --- process-induced nanostructures --- competitive growth --- pp-MOCVD --- vanadium pentoxide --- electrochromic --- spray pyrolysis --- ammonium metavanadate --- CVD --- electrochromism --- perovskite photovoltaic materials --- TiO2 --- Al2O3 --- V2O5 --- computational fluid dynamics
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Modern society is witnessing a sea change in ubiquitous computing, in which people have embraced computing systems as an indispensable part of day-to-day existence. Computation, storage, and communication abilities of smartphones, for example, have undergone monumental changes over the past decade. However, global emphasis on creating and sustaining green environments is leading to a rapid and ongoing proliferation of edge computing systems and applications. As a broad spectrum of healthcare, home, and transport applications shift to the edge of the network, near-threshold computing (NTC) is emerging as one of the promising low-power computing platforms. An NTC device sets its supply voltage close to its threshold voltage, dramatically reducing the energy consumption. Despite showing substantial promise in terms of energy efficiency, NTC is yet to see widescale commercial adoption. This is because circuits and systems operating with NTC suffer from several problems, including increased sensitivity to process variation, reliability problems, performance degradation, and security vulnerabilities, to name a few. To realize its potential, we need designs, techniques, and solutions to overcome these challenges associated with NTC circuits and systems. The readers of this book will be able to familiarize themselves with recent advances in electronics systems, focusing on near-threshold computing.
Technology: general issues --- machine learning --- neural networks --- gait analysis --- embedded system --- NTV --- NTC --- low-power --- low-voltage memory and clocking circuits --- minimum-energy design --- power-performance --- resilient adaptive computing --- edge devices --- power management --- energy efficiency --- near-threshold computing (NTC) --- deep neural network (DNN) --- accelerators --- timing error --- AI --- tensor processing unit (TPU) --- multiply and accumulate (MAC) --- reliability --- Near-Threshold Computing --- functional unit --- performance optimization --- cross-layer optimization
Choose an application
Pursuing a scalable production methodology for materials and advancing it from the laboratory to industry is beneficial to novel daily-life applications. From this perspective, chemical vapor deposition (CVD) offers a compromise between efficiency, controllability, tunability and excellent run-to-run repeatability in the coverage of monolayers on substrates. Hence, CVD meets all of the requirements for industrialization in basically all areas, including polymer coatings, metals, water-filtration systems, solar cells and so on. The Special Issue “Advances in Chemical Vapor Deposition” is dedicated to providing an overview of the latest experimental findings and identifying the growth parameters and characteristics of perovskites, TiO2, Al2O3, VO2 and V2O5 with desired qualities for potentially useful devices.
APCVD --- VO2 --- processing parameters --- 2D --- chemical vapor deposition --- atomic layer deposition --- aluminum oxide --- aluminum tri-sec-butoxide --- thin film --- carbon nanotubes --- residual gas adsorption --- residual gas desorption --- field emission --- atmospheric pressure CVD --- low pressure CVD --- hybrid CVD --- aerosol assisted CVD --- pulsed CVD --- perovskite photovoltaic nanomaterials --- stabilization --- structural design --- performance optimization --- solar cells --- anatase single crystals --- process-induced nanostructures --- competitive growth --- pp-MOCVD --- vanadium pentoxide --- electrochromic --- spray pyrolysis --- ammonium metavanadate --- CVD --- electrochromism --- perovskite photovoltaic materials --- TiO2 --- Al2O3 --- V2O5 --- computational fluid dynamics
Choose an application
Modern society is witnessing a sea change in ubiquitous computing, in which people have embraced computing systems as an indispensable part of day-to-day existence. Computation, storage, and communication abilities of smartphones, for example, have undergone monumental changes over the past decade. However, global emphasis on creating and sustaining green environments is leading to a rapid and ongoing proliferation of edge computing systems and applications. As a broad spectrum of healthcare, home, and transport applications shift to the edge of the network, near-threshold computing (NTC) is emerging as one of the promising low-power computing platforms. An NTC device sets its supply voltage close to its threshold voltage, dramatically reducing the energy consumption. Despite showing substantial promise in terms of energy efficiency, NTC is yet to see widescale commercial adoption. This is because circuits and systems operating with NTC suffer from several problems, including increased sensitivity to process variation, reliability problems, performance degradation, and security vulnerabilities, to name a few. To realize its potential, we need designs, techniques, and solutions to overcome these challenges associated with NTC circuits and systems. The readers of this book will be able to familiarize themselves with recent advances in electronics systems, focusing on near-threshold computing.
Technology: general issues --- machine learning --- neural networks --- gait analysis --- embedded system --- NTV --- NTC --- low-power --- low-voltage memory and clocking circuits --- minimum-energy design --- power-performance --- resilient adaptive computing --- edge devices --- power management --- energy efficiency --- near-threshold computing (NTC) --- deep neural network (DNN) --- accelerators --- timing error --- AI --- tensor processing unit (TPU) --- multiply and accumulate (MAC) --- reliability --- Near-Threshold Computing --- functional unit --- performance optimization --- cross-layer optimization
Choose an application
Pursuing a scalable production methodology for materials and advancing it from the laboratory to industry is beneficial to novel daily-life applications. From this perspective, chemical vapor deposition (CVD) offers a compromise between efficiency, controllability, tunability and excellent run-to-run repeatability in the coverage of monolayers on substrates. Hence, CVD meets all of the requirements for industrialization in basically all areas, including polymer coatings, metals, water-filtration systems, solar cells and so on. The Special Issue “Advances in Chemical Vapor Deposition” is dedicated to providing an overview of the latest experimental findings and identifying the growth parameters and characteristics of perovskites, TiO2, Al2O3, VO2 and V2O5 with desired qualities for potentially useful devices.
Technology: general issues --- APCVD --- VO2 --- processing parameters --- 2D --- chemical vapor deposition --- atomic layer deposition --- aluminum oxide --- aluminum tri-sec-butoxide --- thin film --- carbon nanotubes --- residual gas adsorption --- residual gas desorption --- field emission --- atmospheric pressure CVD --- low pressure CVD --- hybrid CVD --- aerosol assisted CVD --- pulsed CVD --- perovskite photovoltaic nanomaterials --- stabilization --- structural design --- performance optimization --- solar cells --- anatase single crystals --- process-induced nanostructures --- competitive growth --- pp-MOCVD --- vanadium pentoxide --- electrochromic --- spray pyrolysis --- ammonium metavanadate --- CVD --- electrochromism --- perovskite photovoltaic materials --- TiO2 --- Al2O3 --- V2O5 --- computational fluid dynamics
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This second Special Issue connects both the fundamental and application aspects of thermomechanical machines and processes. Among them, engines have the largest place (Diesel, Lenoir, Brayton, Stirling), even if their environmental aspects are questionable for the future. Mechanical and chemical processes as well as quantum processes that could be important in the near future are considered from a thermodynamical point of view as well as for applications and their relevance to quantum thermodynamics. New insights are reported regarding more classical approaches: Finite Time Thermodynamics F.T.T.; Finite Speed thermodynamics F.S.T.; Finite Dimensions Optimal Thermodynamics F.D.O.T. The evolution of the research resulting from this second Special Issue ranges from basic cycles to complex systems and the development of various new branches of thermodynamics.
combined cycle --- inverse Brayton cycle --- regenerative Brayton cycle --- power output --- thermal efficiency --- finite time thermodynamics --- closed simple Brayton cycle --- power density --- ecological function --- multi-objective optimization --- quantum thermodynamics --- quantum circuit --- open quantum system --- isothermal process --- IBM quantum computer --- Stirling refrigerator --- thermodynamic analysis --- numerical model --- imperfect regeneration --- irreversible Lenoir cycle --- cycle power --- heat conductance distribution --- performance optimization --- irreversible Carnot engine --- optimization --- thermodynamics with finite speed --- internal and external irreversibilities --- entropy generation calculation --- thermodynamics in finite time --- irreversible Diesel cycle --- Carnot cycle --- Carnot efficiency --- thermal entropy --- chemical entropy --- mechanical entropy --- thermal exergy --- chemical exergy --- mechanical exergy --- metabolic reactions --- Carnot engine --- Chambadal model --- entropy production action --- efficiency at maximum power --- n/a
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This second Special Issue connects both the fundamental and application aspects of thermomechanical machines and processes. Among them, engines have the largest place (Diesel, Lenoir, Brayton, Stirling), even if their environmental aspects are questionable for the future. Mechanical and chemical processes as well as quantum processes that could be important in the near future are considered from a thermodynamical point of view as well as for applications and their relevance to quantum thermodynamics. New insights are reported regarding more classical approaches: Finite Time Thermodynamics F.T.T.; Finite Speed thermodynamics F.S.T.; Finite Dimensions Optimal Thermodynamics F.D.O.T. The evolution of the research resulting from this second Special Issue ranges from basic cycles to complex systems and the development of various new branches of thermodynamics.
Research & information: general --- combined cycle --- inverse Brayton cycle --- regenerative Brayton cycle --- power output --- thermal efficiency --- finite time thermodynamics --- closed simple Brayton cycle --- power density --- ecological function --- multi-objective optimization --- quantum thermodynamics --- quantum circuit --- open quantum system --- isothermal process --- IBM quantum computer --- Stirling refrigerator --- thermodynamic analysis --- numerical model --- imperfect regeneration --- irreversible Lenoir cycle --- cycle power --- heat conductance distribution --- performance optimization --- irreversible Carnot engine --- optimization --- thermodynamics with finite speed --- internal and external irreversibilities --- entropy generation calculation --- thermodynamics in finite time --- irreversible Diesel cycle --- Carnot cycle --- Carnot efficiency --- thermal entropy --- chemical entropy --- mechanical entropy --- thermal exergy --- chemical exergy --- mechanical exergy --- metabolic reactions --- Carnot engine --- Chambadal model --- entropy production action --- efficiency at maximum power
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