This book takes the reader on a journey through the life of Richard Feynman and describes, in non-technical terms, his revolutionary contributions to modern physics. Feynman was an unconventional thinker who always tried to get to the bottom of things. In doing so, he developed an intuitive view that made him one of the greatest teachers of physics. The author captures this development and explains it in the context of the zeitgeist of modern physics: What revolutionary ideas did Feynman have, what contribution did he make to the development of quantum mechanics and quantum field theory, how can Feynman's methods be understood? Be enchanted by this book and understand the physics of the genius whose 100th birthday was celebrated in 2018.

One hundred years on from his birth, and 30 since his death, Richard Feynman's discoveries in modern physics are still thoroughly relevant. Magnificently charismatic and fun-loving, he brought a sense of adventure to the study of science. His extraordinary career included war-time work on the atomic bomb at Los Alamos, a profoundly original theory of quantum mechanics, for which he won the Nobel prize, and major contributions to the sciences of gravity, nuclear physics and particle theory. Interweaving personal anecdotes and recollections with clear scientific narrative, acclaimed science writers John and Mary Gribbin reveal a fascinating man with an immense passion for life – a superb teacher, a wonderful showman and one of the greatest scientists of his generation.

Selected articles on quantum chemistry, classical and quantum electrodynamics, path integrals and operator calculus, liquid helium, quantum gravity and computer theory

Richard Feynman: physicist . . . Nobel winner . . . bestselling author . . . safe-cracker. In this substantial graphic novel biography, First Second presents the larger-than-life exploits of Nobel-winning quantum physicist, adventurer, musician, world-class raconteur, and one of the greatest minds of the twentieth century: Richard Feynman. Written by nonfiction comics mainstay Jim Ottaviani and brilliantly illustrated by First Second author Leland Myrick, Feynman tells the story of the great man's life from his childhood in Long Island to his work on the Manhattan Project and the Challenger disaster. Ottaviani tackles the bad with the good, leaving the reader delighted by Feynman's exuberant life and staggered at the loss humanity suffered with his death. Anyone who ever wanted to know more about Richard P. Feynman, quantum electrodynamics, the fine art of the bongo drums, the outrageously obscure nation of Tuva, or the development and popularization of the field of physics in the United States need look no further than this rich and joyful work. One of School Library Journal's Best Adult Books 4 Teens titles of 2011 One of Horn Book's Best Nonfiction Books of 2011

Einstein’s Dreams meets Tuesdays with Morrie in Leonard Mlodinow’s touching memoir about the guidance granted him by his mentor, the brilliant physicist Richard Feynman. For some, it was that special connection with a grandparent or a football coach, a boss, or a cleric. For Leonard Mlodinow, as a young physicist struggling to find his place in the world, the relationship that would most profoundly influence his life was with his mentor, the Nobel Prize-winning physicist Richard Feynman. Drawing on transcripts from his many meetings with Feynman during their time together at Cal Tech, Mlodinow shares Feynman’s provocative answers to such questions as “What is the nature of creativity?” and “How does a scientist think?” At once a moving portrait of a friendship and an affecting account of Feynman’s final, creative years, FEYNMAN’S RAINBOW celebrates the inspiring legacy of one of the greatest thinkers of our time.

This book systematically introduces electromagnetic theories and their applications in practice: electrostatic energy, Poynting theorem, the polarization of waves, the conservation law, the electromagnetic symmetry, the conformal mapping method, the electromagnetic loss. The parameters and theorems of electromagnetic theories are discussed in detail, making the book an essential reference for researchers, and engineers in electromagnetics field.

Computational properties of use to biological organisms or to the construction of computers can emerge as collective properties of systems having a large number of simple equivalent components (or neurons). The physical meaning of content-addressable memory is described by an appropriate phase space flow of the state of a system. A model of such a system is given, based on aspects of neurobiology but readily adapted to integrated circuits. The collective properties of this model produce a content-addressable memory which correctly yields an entire memory from any subpart of sufficient size. The algorithm for the time evolution of the state of the system is based on asynchronous parallel processing. Additional emergent collective properties include some capacity for generalization, familiarity recognition, categorization, error correction, and time sequence retention. The collective properties are only weakly sensitive to details of the modeling or the failure of individual devices.

Taking the findings of behavioral economics from the cocktail party to the boardroom. Experimental economist Kay-Yut Chen leads an economics lab at Hewlett- Packard-the first of its kind at any company. His groundbreaking research into human behavior has turned into tangible results for HP. He has saved the company millions of dollars, simply by explaining why people really do the things they do. MoneyLab offers practical lessons being put to use right now at HP and other leading companies. It explains, for instance, how to: ? Use incentives to influence employees, suppliers, and buyers ? Determine whom to trust, and how much ? Reduce the negative effects of irrational behavior by noticing patterns that don't seem logical ? Take advantage of the human tendency to game the system In the spirit of Predictably Irrational, but with a more practical approach, Chen shows how to translate the findings of behavioral economics into concrete actions to achieve new levels of success.

This textbook on Feynman integrals starts from the basics, requiring only knowledge of special relativity and undergraduate mathematics. Feynman integrals are indispensable for precision calculations in quantum field theory. At the same time, they are also fascinating from a mathematical point of view. Topics from quantum field theory and advanced mathematics are introduced as needed. The book covers modern developments in the field of Feynman integrals. Topics included are: representations of Feynman integrals, integration-by-parts, differential equations, intersection theory, multiple polylogarithms, Gelfand-Kapranov-Zelevinsky systems, coactions and symbols, cluster algebras, elliptic Feynman integrals, and motives associated with Feynman integrals. This volume is aimed at a) students at the master's level in physics or mathematics, b) physicists who want to learn how to calculate Feynman integrals (for whom state-of-the-art techniques and computations are provided), and c) mathematicians who are interested in the mathematical aspects underlying Feynman integrals. It is, indeed, the interwoven nature of their physical and mathematical aspects that make Feynman integrals so enthralling.

The last lecture course that Nobel Prize winner Richard P. Feynman gave to students at Caltech from 1983 to 1986 was not on physics but on computer science. The first edition of the Feynman Lectures on Computation, published in 1996, provided an overview of standard and not-so-standard topics in computer science given in Feynman’s inimitable style. Although now over 20 years old, most of the material is still relevant and interesting, and Feynman’s unique philosophy of learning and discovery shines through. For this new edition, Tony Hey has updated the lectures with an invited chapter from Professor John Preskill on “Quantum Computing 40 Years Later”. This contribution captures the progress made toward building a quantum computer since Feynman’s original suggestions in 1981. The last 25 years have also seen the “Moore’s law” roadmap for the IT industry coming to an end. To reflect this transition, John Shalf, Senior Scientist at Lawrence Berkeley National Laboratory, has contributed a chapter on “The Future of Computing beyond Moore’s Law”. The final update for this edition is an attempt to capture Feynman’s interest in artificial intelligence and artificial neural networks. Eric Mjolsness, now a Professor of Computer Science at the University of California Irvine, was a Teaching Assistant for Feynman’s original lecture course and his research interests are now the application of artificial intelligence and machine learning for multi-scale science. He has contributed a chapter called “Feynman on Artificial Intelligence and Machine Learning” that captures the early discussions with Feynman and also looks toward future developments. This exciting and important work provides key reading for students and scholars in the fields of computer science and computational physics.