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Recent Advances in Quantum Monte Carlo Methods
The quantum Monte Carlo (QMC) method is gaining interest as a complement to basis set ab initio methods in cases where high accuracy computation of atomic and molecular properties is desired. This volume focuses on recent advances in this area. QMC as used here refers to methods that directly solve the Schrdinger equation, for example, diffusion and Green's function Monte Carlo, as well as variational Monte Carlo. The latter is an approach to computing atomic and molecular properties by the Monte Carlo method that has fundamental similarities to basis set methods with the exception that the limitation to one-particle basis functions to facilitate integral evaluation is avoided. This feature makes possible the consideration of many-body wave functions containing explicitly interparticle distances ? a capability common to all variants of QMC.
Quantum Monte Carlo Methods in Physics and Chemistry
In recent years there has been a considerable growth in interest in Monte Carlo methods, and quantum Monte Carlo methods in particlular. Clearly, the ever-increasing computational power available to researchers, has stimulated the development of improved algorithms, and almost all fields in computational physics and chemistry are affected by their applications. Here we just mention some fields that are covered in the lecture notes contained in this volume, viz. electronic structure studies of atoms, molecules and solids, nuclear structure, and low- or zero-temperature studies of strongly-correlated quantum systems, both of the continuum and lattice variety, and cooperative phenomena in class...
Recent Advances In Quantum Monte Carlo Methods - Part Ii
This invaluable book consists of 16 chapters written by some of the most notable researchers in the field of quantum Monte Carlo, highlighting the advances made since Lester Jr.'s 1997 monograph with the same title. It may be regarded as the proceedings of the Symposium on Advances in Quantum Monte Carlo Methods held during the Pacifichem meeting in December 2000, but the contributions go beyond what was presented there.
Notes on Nightingale
Florence Nightingale remains an inspiration to nurses around the world for her pioneering work treating wounded British soldiers during the Crimean War; authorship of Notes on Nursing, the foundational text for nursing practice; establishment of the world's first nursing school; and advocacy for the hygienic treatment of patients and sanitary design of hospitals. In Notes on Nightingale, nursing historians and scholars offer their valuable reflections on Nightingale and analysis of her role in the profession a century after her death on 13 August 1910 and 150 years since the Nightingale School of Nursing (now the Florence Nightingale School of Nursing and Midwifery at King's College, London)...
Florence Nightingale
Florence Nightingale: A Reference Guide to Her Life and Works cover all aspects of her life and works, from her birth in Florence to her death in London. A detailed chronology of Florence Nightingale’s life, family, and work. The A to Z section includes the major events, places, and people in Nightingale’s life. The bibliography includes a list of publications concerning her life and work. The index thoroughly cross-refIncludes a detailed chronology of Florence Nightingale’s life, family, and work.
Computational Physics
This book describes computational methods used in theoretical physics with emphasis on condensed matter applications.
Physical Review
Publishes papers that report results of research in statistical physics, plasmas, fluids, and related interdisciplinary topics. There are sections on (1) methods of statistical physics, (2) classical fluids, (3) liquid crystals, (4) diffusion-limited aggregation, and dendritic growth, (5) biological physics, (6) plasma physics, (7) physics of beams, (8) classical physics, including nonlinear media, and (9) computational physics.
Monte Carlo Simulation in Statistical Physics
Dealing with the computer simulation of thermodynamic properties of many-body condensed-matter systems that use random numbers generated by a computer, this book describes the theoretical background of several variants of Monte Carlo methods. The result is a systematic course allowing newcomers to perform these simulations for themselves and to analyze their results. This third edition has been updated and expanded by a new chapter on important recent developments in the Monte Carlo methodology.
Condensed Matter Theories
Pt. A. Statistical mechanics, magnetism, quantum and nonlinear dynamics. The groundstates and phases of the two-dimensional fully frustrated XY model / P. Minnhagen, S. Bernhardsson and B.J. Kim. 2D Ising model with competing interactions and its application to clusters and arrays of [symbol]-rings, graphene and adiabatic quantum computing / A. O'Hare, F.V. Kusmartsev and K.I. Kugel. Concerning the equation of state for a partially ionized system / G.A. Baker Jr. Quasiclassical Fourier path integral quantum correction terms to the kinetic energy of interacting quantum many-body systems / K.A. Gernoth. Ergodicity and chaos in a system of harmonic oscillators / M.H. Lee. Chaotic modes in scale...
