Annual Reviews of Computational Physics VI


Book Description

The sixth volume of the series covers topics ranging from the generation of good random numbers to statistical physics, quantum mechanics, quantum computers and polymers, to protein folding and immunology simulations. It should thus be of interest not only to computational physicists but also to experts in computer science as well as theoretical biology.




Annual Reviews of Computational Physics VIII


Book Description

This volume is based on an international school on ?Scaling and Disordered Systems? organized by M R H Khajehpour, M R Kolahchi and M Sahimi. Despite the common theme, it covers fields as diverse as basic and applied percolation, and biological prey-predator and ageing simulations. The advantages of computer simulation thus become particularly clear in the reviews, which have been written by leading experts.




Annual Reviews Of Computational Physics Iv


Book Description

Quantum phenomena and methods are the core of this volume in our series which publishes rapidly reviews of topics in computational physics. In addition, we look at phase transitions in Ising lattices, in continuum fluids, polymer solutions, and end with biological ageing. As before, papers were submitted by e-mail, and these files were used directly to produce the book, for increased speed and reliability.




Annual Reviews of Computational Physics


Book Description

The ninth volume of Annual Reviews of Computational Physics has as a special feature a comprehensive compendium of interatomic potentials as used for materials properties. Other articles deal with simulations of magnetic nanostructures, improved Monte Carlo methods (e.g. for nucleation studies in Ising models), fluid dynamics with large mean free paths, the growing field of OC sociophysics, OCO and teaching of undergraduate computational physics (including an introduction to Java)."




Annual Reviews Of Computational Physics Vii


Book Description

The seventh volume of this invaluable series focuses an applications — from Ising models to the formation of small clusters and phase ordering in fluids, to the structure of concrete, to the growth of cities built from it, to the traffic jams and the biology of life in the cities, and to the marketing of products to consumers. Thus the interdisciplinary research potential of computational physics is particularly well documented.




Annual Reviews of Computational Physics III


Book Description

This series of books covers all areas of computational physics, collecting together reviews where a newcomer can learn about the state of the art regarding methods and results. Articles are submitted by e-mail before deadlines which are kept by the editor.Biologically motivated simulations, glasses, world-record molecular dynamics, deposition on surfaces, and hydrodynamics are discussed in this volume which ends with an explanation of elementary particle physics (QCD) and their phase transitions.




Optimization in Computational Chemistry and Molecular Biology


Book Description

Optimization in Computational Chemistry and Molecular Biology: Local and Global Approaches covers recent developments in optimization techniques for addressing several computational chemistry and biology problems. A tantalizing problem that cuts across the fields of computational chemistry, biology, medicine, engineering and applied mathematics is how proteins fold. Global and local optimization provide a systematic framework of conformational searches for the prediction of three-dimensional protein structures that represent the global minimum free energy, as well as low-energy biomolecular conformations. Each contribution in the book is essentially expository in nature, but of scholarly treatment. The topics covered include advances in local and global optimization approaches for molecular dynamics and modeling, distance geometry, protein folding, molecular structure refinement, protein and drug design, and molecular and peptide docking. Audience: The book is addressed not only to researchers in mathematical programming, but to all scientists in various disciplines who use optimization methods in solving problems in computational chemistry and biology.




Quantum Computing - Innovations and Applications in Modern Research


Book Description

This volume explores the potential of quantum technologies. The book features insightful perspectives on quantum mechanics, computational paradigms, and practical applications, and it explores key concepts such as quantum entanglement, adiabatic computing, and quantum algorithms. Readers will discover how quantum systems are revolutionizing fields like cryptography, materials science, and artificial intelligence, promising faster computations and significant advances. Through a blend of theoretical exploration and practical insights, this book navigates the complexities of quantum communication, error correction, and the development of scalable quantum architectures. Ideal for researchers, students, and enthusiasts alike, it offers a gateway to understanding the current capabilities and future directions of quantum computing, demonstrating its potential for transforming technical developments and pushing scientific frontiers.




ECAI 2020


Book Description

This book presents the proceedings of the 24th European Conference on Artificial Intelligence (ECAI 2020), held in Santiago de Compostela, Spain, from 29 August to 8 September 2020. The conference was postponed from June, and much of it conducted online due to the COVID-19 restrictions. The conference is one of the principal occasions for researchers and practitioners of AI to meet and discuss the latest trends and challenges in all fields of AI and to demonstrate innovative applications and uses of advanced AI technology. The book also includes the proceedings of the 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020) held at the same time. A record number of more than 1,700 submissions was received for ECAI 2020, of which 1,443 were reviewed. Of these, 361 full-papers and 36 highlight papers were accepted (an acceptance rate of 25% for full-papers and 45% for highlight papers). The book is divided into three sections: ECAI full papers; ECAI highlight papers; and PAIS papers. The topics of these papers cover all aspects of AI, including Agent-based and Multi-agent Systems; Computational Intelligence; Constraints and Satisfiability; Games and Virtual Environments; Heuristic Search; Human Aspects in AI; Information Retrieval and Filtering; Knowledge Representation and Reasoning; Machine Learning; Multidisciplinary Topics and Applications; Natural Language Processing; Planning and Scheduling; Robotics; Safe, Explainable, and Trustworthy AI; Semantic Technologies; Uncertainty in AI; and Vision. The book will be of interest to all those whose work involves the use of AI technology.




Monte Carlo Simulation in Statistical Physics


Book Description

Monte Carlo Simulation in Statistical Physics deals with the computer simulation of many-body systems in condensed-matter physics and related fields of physics, chemistry and beyond, to traffic flows, stock market fluctuations, etc.). Using random numbers generated by a computer, probability distributions are calculated, allowing the estimation of the thermodynamic properties of various systems. This book describes the theoretical background to several variants of these Monte Carlo methodsand gives a systematic presentation from which newcomers can learn to perform such simulations and to analyze their results. The fifth edition covers Classical as well as Quantum Monte Carlo methods. Furthermore a new chapter on the sampling of free energy landscapes has been added. To help students in their work a special web server has been installed to host programs and discussion groups (http://wwwcp.tphys.uni-heidelberg.de). Prof. Binder was the winner of the Berni J. Alder CECAM Award for Computational Physics 2001 as well as the Boltzmann Medal in 2007.