Leland Johnson and Daniel Schaffer begin their narrative in 1943 when the U.S. Army Corps of Engineers built ORNL in the hills of East Tennessee to produce plutonium for atomic weapons. After World War II, ORNL became a center for fundamental scientific research under the successive management of the Atomic Energy Commission, the Energy Research and Development Administration, and the Department of Energy.

This is the story of the young women of Oak Ridge, Tennessee, who unwittingly played a crucial role in one of the most significant moments in U.S. history. The Tennessee town of Oak Ridge was created from scratch in 1942. One of the Manhattan Project's secret cities. All knew something big was happening at Oak Ridge, but few could piece together the true nature of their work until the bomb "Little Boy" was dropped over Hiroshima, Japan, and the secret was out. The reverberations from their work there, work they did not fully understand at the time, are still being felt today.

Using historical and contemprorary photos, this book tells a unique scientific and human story that occupies a special plan in American history. The story begins with the construction in the hills of East Tennessee, seemingly overnight, of a new "Secret City" that grew to a population of 75,000 in less than three years. Following World War II as the city's fences came down, the Laboratory's wartime mission evolved, focusing first on understanding the mysteries of nuclear power, and later as a key source of research expertise for the United States.

Oak Ridge, Tennessee, was created by the U.S. government during World War II to aid in the construction of the first atomic bomb. Drawing on oral history and previously classified material, this book portrays the patterns of daily life in this unique setting.

This book provides a clear, comprehensible and up-to-date description of how Small Angle Scattering (SAS) can help structural biology researchers. SAS is an efficient technique that offers structural information on how biological macromolecules behave in solution. SAS provides distinct and complementary data for integrative structural biology approaches in combination with other widely used probes, such as X-ray crystallography, Nuclear magnetic resonance, Mass spectrometry and Cryo-electron Microscopy. The development of brilliant synchrotron small-angle X-ray scattering (SAXS) beam lines has increased the number of researchers interested in solution scattering. SAS is especially useful for studying conformational changes in proteins, highly flexible proteins, and intrinsically disordered proteins. Small-angle neutron scattering (SANS) with neutron contrast variation is ideally suited for studying multi-component assemblies as well as membrane proteins that are stabilized in surfactant micelles or vesicles. SAS is also used for studying dynamic processes of protein fibrillation in amyloid diseases, and pharmaceutical drug delivery. The combination with size-exclusion chromatography further increases the range of SAS applications. The book is written by leading experts in solution SAS methodologies. The principles and theoretical background of various SAS techniques are included, along with practical aspects that range from sample preparation to data presentation for publication. Topics covered include techniques for improving data quality and analysis, as well as different scientific applications of SAS. With abundant illustrations and practical tips, we hope the clear explanations of the principles and the reviews on the latest progresses will serve as a guide through all aspects of biological solution SAS. The scope of this book is particularly relevant for structural biology researchers who are new to SAS. Advanced users of the technique will find it helpful for exploring the diversity of solution SAS methods and applications. Chapter 3 of this book is available open access under a CC BY 4.0 license at link.springer.com.

This open access book is the first to systematically introduce the principles of urban informatics and its application to every aspect of the city that involves its functioning, control, management, and future planning. It introduces new models and tools being developed to understand and implement these technologies that enable cities to function more efficiently – to become ‘smart’ and ‘sustainable’. The smart city has quickly emerged as computers have become ever smaller to the point where they can be embedded into the very fabric of the city, as well as being central to new ways in which the population can communicate and act. When cities are wired in this way, they have the potential to become sentient and responsive, generating massive streams of ‘big’ data in real time as well as providing immense opportunities for extracting new forms of urban data through crowdsourcing. This book offers a comprehensive review of the methods that form the core of urban informatics from various kinds of urban remote sensing to new approaches to machine learning and statistical modelling. It provides a detailed technical introduction to the wide array of tools information scientists need to develop the key urban analytics that are fundamental to learning about the smart city, and it outlines ways in which these tools can be used to inform design and policy so that cities can become more efficient with a greater concern for environment and equity.