Why do computers use so much energy? What are the fundamental physical laws governing the relationship between the precise computation run by a system, whether artificial or natural, and how much energy that computation requires? This volume integrates concepts from diverse fields, cultivating a modern, nonequilibrium thermodynamics of computation.

When, in 1984?86, Richard P. Feynman gave his famous course on computation at the California Institute of Technology, he asked Tony Hey to adapt his lecture notes into a book. Although led by Feynman, the course also featured, as occasional guest speakers, some of the most brilliant men in science at that time, including Marvin Minsky, Charles Bennett, and John Hopfield. Although the lectures are now thirteen years old, most of the material is timeless and presents a ?Feynmanesque? overview of many standard and some not-so-standard topics in computer science such as reversible logic gates and quantum computers.

Today's science tells us that our bodies are filled with molecular machinery that orchestrates all sorts of life processes. When we think, microscopic "channels" open and close in our brain cell membranes; when we run, tiny "motors" spin in our muscle cell membranes; and when we see, light operates "molecular switches" in our eyes and nerves. A molecular-mechanical vision of life has become commonplace in both the halls of philosophy and the offices of drug companies, where researchers are developing “proton pump inhibitors” or medicines similar to Prozac. Membranes to Molecular Machines explores just how late twentieth-century science came to think of our cells and bodies this way. This story is told through the lens of membrane research, an unwritten history at the crossroads of molecular biology, biochemistry, physiology, and the neurosciences, that directly feeds into today's synthetic biology as well as nano- and biotechnology. Mathias Grote shows how these sciences not only have made us think differently about life, they have, by reworking what membranes and proteins represent in laboratories, allowed us to manipulate life as "active matter" in new ways. Covering the science of biological membranes in the United States and Europe from the mid-1960s to the 1990s, this book connects that history to contemporary work with optogenetics, a method for stimulating individual neurons using light, and will enlighten and provoke anyone interested in the intersection of chemical research and the life sciences—from practitioner to historian to philosopher. The research described in the book and its central actor, Dieter Oesterhelt, were honored with the 2021 Albert Lasker Basic Medical Research Award for his contribution to the development of optogenetics.

Wind energy’s bestselling textbook- fully revised. This must-have second edition includes up-to-date data, diagrams, illustrations and thorough new material on: the fundamentals of wind turbine aerodynamics; wind turbine testing and modelling; wind turbine design standards; offshore wind energy; special purpose applications, such as energy storage and fuel production. Fifty additional homework problems and a new appendix on data processing make this comprehensive edition perfect for engineering students. This book offers a complete examination of one of the most promising sources of renewable energy and is a great introduction to this cross-disciplinary field for practising engineers. “provides a wealth of information and is an excellent reference book for people interested in the subject of wind energy.” (IEEE Power & Energy Magazine, November/December 2003) “deserves a place in the library of every university and college where renewable energy is taught.” (The International Journal of Electrical Engineering Education, Vol.41, No.2 April 2004) “a very comprehensive and well-organized treatment of the current status of wind power.” (Choice, Vol. 40, No. 4, December 2002)

Is there a "science of history"? Must historians be scientists? What is "history" anyway? Celebrated researchers and historians--including Pulitzer-Prize winner John Lewis Gaddis and Nobel laureate Murray Gell-Mann--debate these complex questions in this thoughtful collection of essays.

This book is a celebration of Leslie Lamport's work on concurrency, interwoven in four-and-a-half decades of an evolving industry: from the introduction of the first personal computer to an era when parallel and distributed multiprocessors are abundant. His works lay formal foundations for concurrent computations executed by interconnected computers. Some of the algorithms have become standard engineering practice for fault tolerant distributed computing – distributed systems that continue to function correctly despite failures of individual components. He also developed a substantial body of work on the formal specification and verification of concurrent systems, and has contributed to the development of automated tools applying these methods. Part I consists of technical chapters of the book and a biography. The technical chapters of this book present a retrospective on Lamport's original ideas from experts in the field. Through this lens, it portrays their long-lasting impact. The chapters cover timeless notions Lamport introduced: the Bakery algorithm, atomic shared registers and sequential consistency; causality and logical time; Byzantine Agreement; state machine replication and Paxos; temporal logic of actions (TLA). The professional biography tells of Lamport's career, providing the context in which his work arose and broke new grounds, and discusses LaTeX – perhaps Lamport’s most influential contribution outside the field of concurrency. This chapter gives a voice to the people behind the achievements, notably Lamport himself, and additionally the colleagues around him, who inspired, collaborated, and helped him drive worldwide impact. Part II consists of a selection of Leslie Lamport's most influential papers. This book touches on a lifetime of contributions by Leslie Lamport to the field of concurrency and on the extensive influence he had on people working in the field. It will be of value to historians of science, and to researchers and students who work in the area of concurrency and who are interested to read about the work of one of the most influential researchers in this field.

This book presents the hotly debated question of whether quantum mechanics plays a non-trivial role in biology. In a timely way, it sets out a distinct quantum biology agenda. The burgeoning fields of nanotechnology, biotechnology, quantum technology, and quantum information processing are now strongly converging. The acronym BINS, for Bio-Info-Nano-Systems, has been coined to describe the synergetic interface of these several disciplines. The living cell is an information replicating and processing system that is replete with naturally-evolved nanomachines, which at some level require a quantum mechanical description. As quantum engineering and nanotechnology meet, increasing use will be made of biological structures, or hybrids of biological and fabricated systems, for producing novel devices for information storage and processing and other tasks. An understanding of these systems at a quantum mechanical level will be indispensable.

Origin of Life studies have a nearly-impossible goal: understanding nature through the comprehension of its origins and its complexities. As a growing field with poorly-defined borders, Origin of Life studies profit from progress in other disciplines. This book proposes both an overview of this large area and an in-depth look at the opinions and results obtained by some of the active contributors of this fascinating and deeply thought-provoking matter. The topics are presented in a bottom-up order, first touching on the habitability of the universe, then the rationale behind meaningful prebiotic chemistry, the possible or probable prebiotic chemical frames, the problem of chirality, and moving on through the role of minerals in biogenesis, biogenic fertile environments, the in-and-out problem as solved by vesicles physics, the evolution of the codes, the structure of LUCA and its proto metabolisms and the meaning of complex extant biological biomorphs, as exemplified by viroids. These topics and the reasoning within the chapters are provided against the backdrop of the evolution of information and complexity.

Did you know that computation can be implemented with cytoskeleton networks, chemical reactions, liquid marbles, plants, polymers and dozens of other living and inanimate substrates? Do you know what is reversible computing or a DNA microscopy? Are you aware that randomness aids computation? Would you like to make logical circuits from enzymatic reactions? Have you ever tried to implement digital logic with Minecraft? Do you know that eroding sandstones can compute too?This volume reviews most of the key attempts in coming up with an alternative way of computation. In doing so, the authors show that we do not need computers to compute and we do not need computation to infer. It invites readers to rethink the computer and computing, and appeals to computer scientists, mathematicians, physicists and philosophers. The topics are presented in a lively and easily accessible manner and make for ideal supplementary reading across a broad range of subjects.