Best Physics of Entropy Books
Here you will get Best Physics of Entropy Books For you.This is an up-to-date list of recommended books.
1. The Last Watch (The Divide Series, 1)
Author: by J. S. Dewes
Tor Books (April 20, 2021)
The Expanse meets Game of Thrones in J.S. Dewes’s fast-paced, sci-fi adventure The Last Watch, where a handful of soldiers stand between humanity and annihilation. Most Anticipated Book for April 2021:BookishNerd DailyGeek TyrantSFF 180Amazon Best of the Month April 2021The Divide.
It’s the edge of the universe. Now it’s collapsingand taking everyone and everything with it. The only ones who can stop it are the Sentinelsthe recruits, exiles, and court-martialed dregs of the military. At the Divide, Adequin Rake commands the Argus.
She has no resources, no commsnothing, except for the soldiers that no one wanted. Her ace in the hole could be Cavalon Mercer-genius, asshole, and exiled prince who nuked his grandfather’s genetic facility for reasons. She knows they’re humanity’s last chance.
The Divide seriesThe Last WatchThe Exiled Fleet
2. Fly by Night Physics: How Physicists Use the Backs of Envelopes
Author: by A. Zee
The essential primer for physics students who want to build their physical intuitionPresented in A. Zee’s incomparably engaging style, this book introduces physics students to the practice of using physical reasoning and judicious guesses to get at the crux of a problem.
An essential primer for advanced undergraduates and beyond, Fly by Night Physics reveals the simple and effective techniques that researchers use to think through a problem to its solutionor failing that, to smartly guess the answerbefore starting any calculations. In typical physics classrooms, students seek to master an enormous toolbox of mathematical methods, which are necessary to do the precise calculations used in physics.
Consequently, students often develop the unfortunate impression that physics consists of well-defined problems that can be solved with tightly reasoned and logical steps. Idealized textbook exercises and homework problems reinforce this erroneous impression. As a result, even the best students can find themselves completely unprepared for the challenges of doing actual research.
3. From Eternity to Here: The Quest for the Ultimate Theory of Time
Author: by Sean Carroll
“An accessible and engaging exploration of the mysteries of time.” -Brian Greene, author of The Elegant Universe Twenty years ago, Stephen Hawking tried to explain time by understanding the Big Bang. Now, Sean Carroll says we need to be more ambitious.
One of the leading theoretical physicists of his generation, Carroll delivers a dazzling and paradigm-shifting theory of time’s arrow that embraces subjects from entropy to quantum mechanics to time travel to information theory and the meaning of life. From Eternity to Here is no less than the next step toward understanding how we came to exist, and a fantastically approachable read that will appeal to a broad audience of armchair physicists, and anyone who ponders the nature of our world.
4. The Janus Point: A New Theory of Time
Author: by Julian Barbour
In a universe filled by chaos and disorder, one physicist makes the radical argument that the growth of order drives the passage of time – and shapes the destiny of the universe. Time is among the universe’s greatest mysteries. Why, when most laws of physics allow for it to flow forward and backward, does it only go forward?
Physicists have long appealed to the second law of thermodynamics, held to predict the increase of disorder in the universe, to explain this. In The Janus Point, physicist Julian Barbour argues that the second law has been misapplied and that the growth of order determines how we experience time.
In his view, the big bang becomes the “Janus point,” a moment of minimal order from which time could flow, and order increase, in two directions. The Janus Point has remarkable implications: while most physicists predict that the universe will become mired in disorder, Barbour sees the possibility that order – the stuff of life – can grow without bound.
A major new work of physics, The Janus Point will transform our understanding of the nature of existence.
5. Molecular Driving Forces: Statistical Thermodynamics in Biology, Chemistry, Physics, and Nanoscience, 2nd Edition
Author: by Ken A. Dill
Molecular Driving Forces, Second Edition is an introductory statistical thermodynamics text that describes the principles and forces that drive chemical and biological processes. It demonstrates how the complex behaviors of molecules can result from a few simple physical processes, and how simple models provide surprisingly accurate insights into the workings of the molecular world.
Widely adopted in its First Edition, Molecular Driving Forces is regarded by teachers and students as an accessible textbook that illuminates underlying principles and concepts. The Second Edition includes two brand new chapters: (1) “Microscopic Dynamics” introduces single molecule experiments; and (2) “Molecular Machines” considers how nanoscale machines and engines work.
“The Logic of Thermodynamics” has been expanded to its own chapter and now covers heat, work, processes, pathways, and cycles. New practical applications, examples, and end-of-chapter questions are integrated throughout the revised and updated text, exploring topics in biology, environmental and energy science, and nanotechnology.
6. The Loop
Author: by Jeremy Robert Johnson
The year’s most brutal, cinematic thrill ride is also one of its most critically acclaimed novels. Dazed and Confused meets 28 Days Later in this “wickedly entertaining,” (Kirkus Reviews) “volcano of a book” (Nathan Ballingrud, author of Wounds) as a lonely young woman teams up with a group of fellow outcasts to survive the night in a town overcome by a science experiment gone wrong.
A Best Book of the Month for Den of Geek, Omnivoracious, Mystery & Suspense, and Tor. A Goodreads’ 2020 Readers Choice Nominee for Best Horror, and one of the Best Books of 2020 for The Lineup, Booked, and Unsettling Reads. Turner Falls is a small tourist town nestled in the hills of central Oregon.
When a terrifying outbreak rapidly develops, this idyllic town becomes the epicenter of an epidemic of violence. The Loop is a “wild and wonderfully scary novel” (Richard Chizmar, author of Gwendy’s Magic Feather) that offers a “hilarious and horrifying” (Brian Keene, author of The Rising) look at what one team of misfits can accomplish as they fight to live through the night.”[A] harrowing thrill ride of the first order and an uncompromising page-turner, easily securing its spot as one of the best novels of 2020.” – Rue Morgue (featured “Dante’s Pick” Review)”Like the best of Crichton or Benchley, it is a great beach read, but it is infused with the neon blood of a brave new writer…
7. Rust: The Longest War
Author: by Jonathan Waldman
Simon & Schuster
Finalist for the Los Angeles Times Book Prize * A Wall Street Journal Best Book of the Year Rust has been called the great destroyer, the pervasive menace, and the evil. This look at corrosionits causes, its consequences, and especially the people devoted to combating itis wide-ranging and consistently engrossing (The New York Times).
It is the hidden enemy, the one that challenges the very basis of civilization. This entropic menace destroys cars, fells bridges, sinks ships, sparks house fires, and nearly brought down the Statue of Liberty’s torch. It is rustand this book, full of wit and insight, disasters and triumphsis its story.
Jonathan Waldman’s first book is as obsessive as it is informativehe takes us deep into places and situations that are too often ignored or unknown (The Washington Post). In Rust, Waldman travels from Key West to Prudhoe Bay, meeting people concerned with corrosion.
He sneaks into an abandoned steelworks and nearly gets kicked out of Can School. He follows a high-tech robot through an arctic winter, hunting for rust in the Alaska pipeline. In Texas, he finds a corrosion engineer named Rusty, and in Colorado, he learns of the animosity between the galvanizing industry and the paint army.
8. Every Life Is on Fire: How Thermodynamics Explains the Origins of Living Things
Author: by Jeremy England
A preeminent physicist unveils a field-defining theory of the origins and purpose of life.Why are we alive? Most things in the universe aren’t. And everything that is alive traces back to things that, puzzlingly, weren’t. For centuries, the scientific question of life’s origins has confounded us.
But in Every Life Is on Fire, physicist Jeremy England argues that the answer has been under our noses the whole time, deep within the laws of thermodynamics. England explains how, counterintuitively, the very same forces that tend to tear things apart assembled the first living systems.
But how life began isn’t just a scientific question. We ask it because we want to know what it really means to be alive. So England, an ordained rabbi, uses his theory to examine how, if at all, science helps us find purpose in a vast and mysterious universe.
In the tradition of Viktor Frankl’s Man’s Search for Meaning, Every Life Is on Fire is a profound testament to how something can come from nothing.
9. Deep Learning Architectures: A Mathematical Approach (Springer Series in the Data Sciences)
Author: by Ovidiu Calin
This book describes how neural networks operate from the mathematical point of view. As a result, neural networks can be interpreted both as function universal approximators and information processors. The book bridges the gap between ideas and concepts of neural networks, which are used nowadays at an intuitive level, and the precise modern mathematical language, presenting the best practices of the former and enjoying the robustness and elegance of the latter.
This book can be used in a graduate course in deep learning, with the first few parts being accessible to senior undergraduates. In addition, the book will be of wide interest to machine learning researchers who are interested in a theoretical understanding of the subject.
10. Understanding Molecular Simulation: From Algorithms to Applications (Computational Science Series, Vol 1)
Author: by Daan Frenkel
Understanding Molecular Simulation: From Algorithms to Applications explains the physics behind the “recipes” of molecular simulation for materials science. Computer simulators are continuously confronted with questions concerning the choice of a particular technique for a given application. A wide variety of tools exist, so the choice of technique requires a good understanding of the basic principles.
More importantly, such understanding may greatly improve the efficiency of a simulation program. The implementation of simulation methods is illustrated in pseudocodes and their practical use in the case studies used in the text. Since the first edition only five years ago, the simulation world has changed significantly – current techniques have matured and new ones have appeared.
This new edition deals with these new developments; in particular, there are sections on: Transition path sampling and diffusive barrier crossing to simulaterare eventsDissipative particle dynamic as a course-grained simulation techniqueNovel schemes to compute the long-ranged forcesHamiltonian and non-Hamiltonian dynamics in the context constant-temperature and constant-pressure molecular dynamics simulationsMultiple-time step algorithms as an alternative for constraintsDefects in solidsThe pruned-enriched Rosenbluth sampling, recoil-growth, and concerted rotations for complex moleculesParallel tempering for glassy Hamiltonians Examples are included that highlight current applications and the codes of case studies are available on the World Wide Web.
11. Foundations of Machine Learning, second edition (Adaptive Computation and Machine Learning series)
Author: by Mehryar Mohri
The MIT Press
A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms. This book is a general introduction to machine learning that can serve as a textbook for graduate students and a reference for researchers.
It covers fundamental modern topics in machine learning while providing the theoretical basis and conceptual tools needed for the discussion and justification of algorithms. It also describes several key aspects of the application of these algorithms. The authors aim to present novel theoretical tools and concepts while giving concise proofs even for relatively advanced topics.
Foundations of Machine Learning is unique in its focus on the analysis and theory of algorithms. The first four chapters lay the theoretical foundation for what follows; subsequent chapters are mostly self-contained. Topics covered include the Probably Approximately Correct (PAC) learning framework; generalization bounds based on Rademacher complexity and VC-dimension; Support Vector Machines (SVMs); kernel methods; boosting; on-line learning; multi-class classification; ranking; regression; algorithmic stability; dimensionality reduction; learning automata and languages; and reinforcement learning.
12. Applied Predictive Analytics: Principles and Techniques for the Professional Data Analyst
Author: by Dean Abbott
Learn the art and science of predictive analytics techniques that get results Predictive analytics is what translates big data into meaningful, usable business information. Written by a leading expert in the field, this guide examines the science of the underlying algorithms as well as the principles and best practices that govern the art of predictive analytics.
It clearly explains the theory behind predictive analytics, teaches the methods, principles, and techniques for conducting predictive analytics projects, and offers tips and tricks that are essential for successful predictive modeling. Hands-on examples and case studies are included. The ability to successfully apply predictive analytics enables businesses to effectively interpret big data; essential for competition today This guide teaches not only the principles of predictive analytics, but also how to apply them to achieve real, pragmatic solutions Explains methods, principles, and techniques for conducting predictive analytics projects from start to finish Illustrates each technique with hands-on examples and includes as series of in-depth case studies that apply predictive analytics to common business scenarios A companion website provides all the data sets used to generate the examples as well as a free trial version of software Applied Predictive Analytics arms data and business analysts and business managers with the tools they need to interpret and capitalize on big data.
13. Physical Biology of the Cell
Author: by Rob Phillips
Physical Biology of the Cell is a textbook for a first course in physical biology or biophysics for undergraduate or graduate students. It maps the huge and complex landscape of cell and molecular biology from the distinct perspective of physical biology.
As a key organizing principle, the proximity of topics is based on the physical concepts that unite a given set of biological phenomena. Herein lies the central premise: that the appropriate application of a few fundamental physical models can serve as the foundation of whole bodies of quantitative biological intuition, useful across a wide range of biological problems.
The Second Edition features full-color illustrations throughout, two new chapters, a significantly expanded set of end-of-chapter problems, and is available in a variety of e-book formats.
14. Information Theory And Evolution (2Nd Edition)
Author: by John Scales Avery
Information Theory and Evolution discusses the phenomenon of life, including its origin and evolution (and also human cultural evolution), against the background of thermodynamics, statistical mechanics, and information theory. Among the central themes is the seeming contradiction between the second law of thermodynamics and the high degree of order and complexity produced by living systems.
This paradox has its resolution in the information content of the Gibbs free energy that enters the biosphere from outside sources, as the author will show. The role of information in human cultural evolution is another focus of the book.
The first edition of Information Theory and Evolution made a strong impact on thought in the field by bringing together results from many disciplines. The new second edition offers updated results based on reports of important new research in several areas, including exciting new studies of the human mitochondrial and Y-chromosomal Dna.
Another extensive discussion featured in the second edition is contained in a new appendix devoted to the relationship of entropy and Gibbs free energy to economics. This appendix includes a review of the ideas of Alfred Lotka, Frederick Soddy, Nicholas Georgiescu-Roegen and Herman E.