WELCOME TO THE LIBRARY!!!
What are you looking for Book "Knowledge In A Nutshell Quantum Physics" ? Click "Read Now PDF" / "Download", Get it for FREE, Register 100% Easily. You can read all your books for as long as a month for FREE and will get the latest Books Notifications. SIGN UP NOW!
eBook Download
BOOK EXCERPT:
Quantum theory is at the heart of modern physics, but how does it actually work? NASA scientist and communicator Sten Odenwald demystifies the subject and makes this crucial topic accessible to everyone. Featuring topics such as Schrodinger's cat, the wave-particle duality and the newly emerging theories of quantum gravity, as well as the personalities behind the science, such as Max Planck, Neils Bohr, Werner Heisenberg, Richard Feynman and many more, Knowledge in a Nutshell: Quantum Physics provides an essential introduction to cutting edge science. Presented in an easy-to-understand format, with diagrams, illustrations and simple summary sections at the end of each chapter, this new addition to the 'Knowledge in a Nutshell' series brings clarity to some of the great mysteries of physics. ABOUT THE SERIES: The 'Knowledge in a Nutshell' series by Arcturus Publishing provides engaging introductions to many fields of knowledge, including philosophy, psychology and physics, and the ways in which human kind has sought to make sense of our world.
Product Details :
Genre |
: Science |
Author |
: Sten Odenwald |
Publisher |
: Arcturus Publishing |
Release |
: 2020-05-01 |
File |
: 239 Pages |
ISBN-13 |
: 9781839404023 |
eBook Download
BOOK EXCERPT:
A NASA science educator showcases important objects in space history from Galileo’s telescope to the Curiosity rover: “Will fascinate readers of any age.” —Publishers Weekly (starred review) This book examines 100 objects that forever altered what we know and how we think about the cosmos. From an ancient Mayan codex to Sputnik to Skylab and into the twenty-first century, some objects are iconic and some obscure—but all are utterly important. The Nebra sky disk (1600 BCE) features the first realistic depiction of the sun, moon, and stars.The Lunar Laser Ranging RetroReflector finally showed us how far we are from the moon in 1969.In 1986, it was the humble, rubber O-ring that doomed the space shuttle Challenger.The Event Horizon Telescope gave us our first glimpse of a black hole in 2019. These 100 objects showcase the workhorse tools and game-changing technologies that have altered the course of space history—and the small steps and giant leaps we’ve made in our quest to explore the farthest reaches of the universe. “Addictive . . . This diverse assortment of STEM milestones provides science, technology, and space enthusiasts plenty to ponder—and even debate.” —Booklist
Product Details :
Genre |
: Science |
Author |
: Sten Odenwald |
Publisher |
: The Experiment |
Release |
: 2019-11-01 |
File |
: 393 Pages |
ISBN-13 |
: 9781615196159 |
eBook Download
BOOK EXCERPT:
Quantum chemistry is simulating atomistic systems according to the laws of quantum mechanics, and such simulations are essential for our understanding of the world and for technological progress. Machine learning revolutionizes quantum chemistry by increasing simulation speed and accuracy and obtaining new insights. However, for nonspecialists, learning about this vast field is a formidable challenge. Quantum Chemistry in the Age of Machine Learning covers this exciting field in detail, ranging from basic concepts to comprehensive methodological details to providing detailed codes and hands-on tutorials. Such an approach helps readers get a quick overview of existing techniques and provides an opportunity to learn the intricacies and inner workings of state-of-the-art methods. The book describes the underlying concepts of machine learning and quantum chemistry, machine learning potentials and learning of other quantum chemical properties, machine learning-improved quantum chemical methods, analysis of Big Data from simulations, and materials design with machine learning. Drawing on the expertise of a team of specialist contributors, this book serves as a valuable guide for both aspiring beginners and specialists in this exciting field. - Compiles advances of machine learning in quantum chemistry across different areas into a single resource - Provides insights into the underlying concepts of machine learning techniques that are relevant to quantum chemistry - Describes, in detail, the current state-of-the-art machine learning-based methods in quantum chemistry
Product Details :
Genre |
: Science |
Author |
: Pavlo O. Dral |
Publisher |
: Elsevier |
Release |
: 2022-09-16 |
File |
: 702 Pages |
ISBN-13 |
: 9780323886048 |
eBook Download
BOOK EXCERPT:
Advances in Quantum Chemistry presents surveys of current topics in this rapidly developing field one that has emerged at the cross section of the historically established areas of mathematics, physics, chemistry, and biology. It features detailed reviews written by leading international researchers. In this volume the readers are presented with an exciting combination of themes. - Presents surveys of current topics in this rapidly-developing field that has emerged at the cross section of the historically established areas of mathematics, physics, chemistry and biology - Features detailed reviews written by leading international researchers - Topics include: New advances in Quantum Chemical Physics; Original theory and a contemporary overview of the field of Theoretical Chemical Physics; State-of-the-Art calculations in Theoretical Chemistry
Product Details :
Genre |
: Science |
Author |
: |
Publisher |
: Academic Press |
Release |
: 2020-09-18 |
File |
: 350 Pages |
ISBN-13 |
: 9780128197585 |
eBook Download
BOOK EXCERPT:
Rigorous treatment of the theory of deep learning from first principles, with applications to beautiful problems in the natural sciences.
Product Details :
Genre |
: Computers |
Author |
: Pierre Baldi |
Publisher |
: Cambridge University Press |
Release |
: 2021-07 |
File |
: 387 Pages |
ISBN-13 |
: 9781108845359 |
eBook Download
BOOK EXCERPT:
The thesis contains several pioneering results at the intersection of state-of-the-art materials characterization techniques and machine learning. The use of machine learning empowers the information extraction capability of neutron and photon spectroscopies. In particular, new knowledge and new physics insights to aid spectroscopic analysis may hold great promise for next-generation quantum technology. As a prominent example, the so-called proximity effect at topological material interfaces promises to enable spintronics without energy dissipation and quantum computing with fault tolerance, yet the characteristic spectral features to identify the proximity effect have long been elusive. The work presented within permits a fine resolution of its spectroscopic features and a determination of the proximity effect which could aid further experiments with improved interpretability. A few novel machine learning architectures are proposed in this thesis work which leverage the case when the data is scarce and utilize the internal symmetry of the system to improve the training quality. The work sheds light on future pathways to apply machine learning to augment experiments.
Product Details :
Genre |
: Science |
Author |
: Nina Andrejevic |
Publisher |
: Springer Nature |
Release |
: 2022-10-06 |
File |
: 106 Pages |
ISBN-13 |
: 9783031148088 |
eBook Download
BOOK EXCERPT:
A fully updated edition of the classic text by acclaimed physicist A. Zee Since it was first published, Quantum Field Theory in a Nutshell has quickly established itself as the most accessible and comprehensive introduction to this profound and deeply fascinating area of theoretical physics. Now in this fully revised and expanded edition, A. Zee covers the latest advances while providing a solid conceptual foundation for students to build on, making this the most up-to-date and modern textbook on quantum field theory available. This expanded edition features several additional chapters, as well as an entirely new section describing recent developments in quantum field theory such as gravitational waves, the helicity spinor formalism, on-shell gluon scattering, recursion relations for amplitudes with complex momenta, and the hidden connection between Yang-Mills theory and Einstein gravity. Zee also provides added exercises, explanations, and examples, as well as detailed appendices, solutions to selected exercises, and suggestions for further reading. The most accessible and comprehensive introductory textbook available Features a fully revised, updated, and expanded text Covers the latest exciting advances in the field Includes new exercises Offers a one-of-a-kind resource for students and researchers Leading universities that have adopted this book include: Arizona State University Boston University Brandeis University Brown University California Institute of Technology Carnegie Mellon College of William & Mary Cornell Harvard University Massachusetts Institute of Technology Northwestern University Ohio State University Princeton University Purdue University - Main Campus Rensselaer Polytechnic Institute Rutgers University - New Brunswick Stanford University University of California - Berkeley University of Central Florida University of Chicago University of Michigan University of Montreal University of Notre Dame Vanderbilt University Virginia Tech University
Product Details :
Genre |
: Science |
Author |
: A. Zee |
Publisher |
: Princeton University Press |
Release |
: 2010-02-21 |
File |
: 604 Pages |
ISBN-13 |
: 9780691140346 |
eBook Download
BOOK EXCERPT:
An ideal introduction to Einstein's general theory of relativity This unique textbook provides an accessible introduction to Einstein's general theory of relativity, a subject of breathtaking beauty and supreme importance in physics. With his trademark blend of wit and incisiveness, A. Zee guides readers from the fundamentals of Newtonian mechanics to the most exciting frontiers of research today, including de Sitter and anti-de Sitter spacetimes, Kaluza-Klein theory, and brane worlds. Unlike other books on Einstein gravity, this book emphasizes the action principle and group theory as guides in constructing physical theories. Zee treats various topics in a spiral style that is easy on beginners, and includes anecdotes from the history of physics that will appeal to students and experts alike. He takes a friendly approach to the required mathematics, yet does not shy away from more advanced mathematical topics such as differential forms. The extensive discussion of black holes includes rotating and extremal black holes and Hawking radiation. The ideal textbook for undergraduate and graduate students, Einstein Gravity in a Nutshell also provides an essential resource for professional physicists and is accessible to anyone familiar with classical mechanics and electromagnetism. It features numerous exercises as well as detailed appendices covering a multitude of topics not readily found elsewhere. Provides an accessible introduction to Einstein's general theory of relativity Guides readers from Newtonian mechanics to the frontiers of modern research Emphasizes symmetry and the Einstein-Hilbert action Covers topics not found in standard textbooks on Einstein gravity Includes interesting historical asides Features numerous exercises and detailed appendices Ideal for students, physicists, and scientifically minded lay readers Solutions manual (available only to teachers)
Product Details :
Genre |
: Science |
Author |
: A. Zee |
Publisher |
: Princeton University Press |
Release |
: 2013-05-05 |
File |
: 888 Pages |
ISBN-13 |
: 9780691145587 |
eBook Download
BOOK EXCERPT:
The ideal textbook for a one-semester introductory course for graduate students or advanced undergraduates This book provides an essential introduction to the physics of quantum many-body systems, which are at the heart of atomic and nuclear physics, condensed matter, and particle physics. Unlike other textbooks on the subject, it covers topics across a broad range of physical fields—phenomena as well as theoretical tools—and does so in a simple and accessible way. Edward Shuryak begins with Feynman diagrams of the quantum and statistical mechanics of a particle; in these applications, the diagrams are easy to calculate and there are no divergencies. He discusses the renormalization group and illustrates its uses, and covers systems such as weakly and strongly coupled Bose and Fermi gases, electron gas, nuclear matter, and quark-gluon plasmas. Phenomena include Bose condensation and superfluidity. Shuryak also looks at Cooper pairing and superconductivity for electrons in metals, liquid 3He, nuclear matter, and quark-gluon plasma. A recurring topic throughout is topological matter, ranging from ensembles of quantized vortices in superfluids and superconductors to ensembles of colored (QCD) monopoles and instantons in the QCD vacuum. Proven in the classroom, Quantum Many-Body Physics in a Nutshell is the ideal textbook for a one-semester introductory course for graduate students or advanced undergraduates. Teaches students how quantum many-body systems work across many fields of physics Uses path integrals from the very beginning Features the easiest introduction to Feynman diagrams available Draws on the most recent findings, including trapped Fermi and Bose atomic gases Guides students from traditional systems, such as electron gas and nuclear matter, to more advanced ones, such as quark-gluon plasma and the QCD vacuum
Product Details :
Genre |
: Science |
Author |
: Edward Shuryak |
Publisher |
: Princeton University Press |
Release |
: 2018-11-27 |
File |
: 306 Pages |
ISBN-13 |
: 9780691175607 |
eBook Download
BOOK EXCERPT:
Quantum computing has shown a potential to tackle specific types of problems, especially those involving a daunting number of variables, at an exponentially faster rate compared to classical computers. This volume focuses on quantum variants of machine learning algorithms, such as quantum neural networks, quantum reinforcement learning, quantum principal component analysis, quantum support vectors, quantum Boltzmann machines, and many more.
Product Details :
Genre |
: Computers |
Author |
: Pethuru Raj |
Publisher |
: Walter de Gruyter GmbH & Co KG |
Release |
: 2024-08-05 |
File |
: 336 Pages |
ISBN-13 |
: 9783111342276 |