I. Formal Methods.- Artificial Neural Networks that Learn Many-Body Physics.- Quantum Statistical Microdynamics and Critical Phenomena.- Quantum Spin Lattice Models: a Coupled-Cluster Treatment.- Time Dependent Mean Field Approximation in a Boson System.- Inhomogeneous Boson System Made Planar.- II. Quantum Fluids.- The Shape of Fluids.- Single Particle Properties of Atomic Deuterium.- Studies of the Critical Point of 4He.- The Spectral Function of Bose Superfluids: a Sum Rule Approach.- III. Electronic Systems, Atoms and Molecules.- Collective Spin Waves in Maxwellian Electron Plasma.- Test of Density Functional Approximation for an Atom in a Strong Magnetic Field.- Ionic Diffusion Phenomena in Superionic Conductors.- Electric Field Induced Solidification-Theory of Electro-Rheology Fluids.- Toward a Non-Born-Oppenheimer Density Functional Theory in the Context of Local-Scaling Transformations.- Bragg Intensities and Diffuse Scattering in Ag2Se: a Molecular Dynamics Study.- IV. High-Tc Superconductivity.- Dynamics of the Anderson Model for Dilute Magnetic Alloys: a Quantum Monte Carlo and Maximum Entropy Study.- High Temperature Superconductivity in an Exactly Solvable Model.- Cooper Pair Binding Energy and the BCS Gap Energy Revisited.- Coopers Pairs, Local Pairs, and TF-Scaled High-Tc Superconductivity.- Electron-Hole Liquid Model for High Tc-Superconductivity.- MEP Approach to the Anderson-Hubbard Model.- V. Lattice Theories.- Correlated Lattice Fermions in High Dimensions.- Cluster Gutzwiller Approximation.- The U(1)3 Lattice Gauge Vacuum.- Electronic Diamagnetism in Two-Dimensional Lattices.- Nuclear Physics and QCD.- Meson-Meson Scattering as a Many-Body Problem.- Alpha-Nucleus Interaction from an Inverse Scattering and Energy-Density Formalism.- Spin and Tensor Correlations in Model Nuclear Matter.- On Narrow ? Hypernuclear States with Positive Energy.- Electromagnetic Response in Nuclear Matter and Complex Nuclei.- Use of Correlated Hyperspherical Harmonic Basis for Strongly Interacting Systems.- Variational Cluster Methods in Coordinate Space for Small Systems: Center of Mass Corrections Made Easy.- Short-Range Correlations and Single-Particle Spectral Functions in Nuclear Matter.- Functional Techniques in the Many-Body Problem: the Longitudinal Nuclear Response function.- Contributors and Participants.

This open access book focuses on how scientific methodologies can help industrial managers, entrepreneurs and policymakers handle the 17 Sustainable Development Goals in an efficient and realistic way. It also offers an operative scheme for scientists to overcome their discipline barriers. Is interdisciplinarity an intrinsic research value or is it merely instrumental for handling the increasing flux of open problems that sustainability poses to science?Can these problems of sustainability be solved with what the authors already know? Is it just a matter of having the right people at the table and giving them sufficient resources, or is it something more? Is meeting the needs of the present without compromising those of future generations a scientific definition of sustainable development? Questions similar to those posed in the sixties regarding complexity must be  asked about sustainability today. In addition, the new data science includes powerful tools for making novel quantitative predictions about future sustainability indicators, an open problem that the book discusses. This book is primarily addressed to Ph.D. students, postdocs and senior researchers in the Life and Hard Science (LHS) and Social Sciences and Humanities (SSH) disciplines, as well as professionals of the primary, secondary and tertiary industrial sectors.

Authored by two of the most respected experts in the field of nuclear matter, this book provides an up-to-date account of developments in nuclear matter theory and a critical comparison of the existing theoretical approaches in the field. It provides information needed for researchers working with applications in a variety of research fields, ranging from nuclear physics to astrophysics and gravitational physics, and the computational techniques discussed in the book are relevant for the broader condensed matter and quantum fluids community. The first book to provide an up-to-date and comprehensive overview of nuclear matter theory Authored by two world-leading academics in this field Includes a description of the most advanced computational techniques and a discussion of state-of-the art applications, such as the study of gravitational-wave emission from neutron stars

Authored by two of the most respected experts in the field of nuclear matter, this book provides an up-to-date account of developments in nuclear matter theory and a critical comparison of the existing theoretical approaches in the field. It provides information needed for researchers working with applications in a variety of research fields, ranging from nuclear physics to astrophysics and gravitational physics, and the computational techniques discussed in the book are relevant for the broader condensed matter and quantum fluids community. The first book to provide an up-to-date and comprehensive overview of nuclear matter theory Authored by two world-leading academics in this field Includes a description of the most advanced computational techniques and a discussion of state-of-the art applications, such as the study of gravitational-wave emission from neutron stars

This open access book focuses on how scientific methodologies can help industrial managers, entrepreneurs and policymakers handle the 17 Sustainable Development Goals in an efficient and realistic way. It also offers an operative scheme for scientists to overcome their discipline barriers. Is interdisciplinarity an intrinsic research value or is it merely instrumental for handling the increasing flux of open problems that sustainability poses to science?Can these problems of sustainability be solved with what the authors already know? Is it just a matter of having the right people at the table and giving them sufficient resources, or is it something more? Is meeting the needs of the present without compromising those of future generations a scientific definition of sustainable development? Questions similar to those posed in the sixties regarding complexity must be  asked about sustainability today. In addition, the new data science includes powerful tools for making novel quantitative predictions about future sustainability indicators, an open problem that the book discusses. This book is primarily addressed to Ph.D. students, postdocs and senior researchers in the Life and Hard Science (LHS) and Social Sciences and Humanities (SSH) disciplines, as well as professionals of the primary, secondary and tertiary industrial sectors.