This book focuses on the use of novel electron microscopy techniques to further our understanding of the physics behind electron-light interactions. It introduces and discusses the methodologies for advancing the field of electron microscopy towards a better control of electron dynamics with significantly improved temporal resolutions, and explores the burgeoning field of nanooptics - the physics of light-matter interaction at the nanoscale - whose practical applications transcend numerous fields such as energy conversion, control of chemical reactions, optically induced phase transitions, quantum cryptography, and data processing. In addition to describing analytical and numerical techniques for exploring the theoretical basis of electron-light interactions, the book showcases a number of relevant case studies, such as optical modes in gold tapers probed by electron beams and investigations of optical excitations in the topological insulator Bi2Se3. The experiments featured provide an impetus to develop more relevant theoretical models, benchmark current approximations, and even more characterization tools based on coherent electron-light interactions.

One of the pathways by which the scientific community confirms the validity of a new scientific discovery is by repeating the research that produced it. When a scientific effort fails to independently confirm the computations or results of a previous study, some fear that it may be a symptom of a lack of rigor in science, while others argue that such an observed inconsistency can be an important precursor to new discovery. Concerns about reproducibility and replicability have been expressed in both scientific and popular media. As these concerns came to light, Congress requested that the National Academies of Sciences, Engineering, and Medicine conduct a study to assess the extent of issues related to reproducibility and replicability and to offer recommendations for improving rigor and transparency in scientific research. Reproducibility and Replicability in Science defines reproducibility and replicability and examines the factors that may lead to non-reproducibility and non-replicability in research. Unlike the typical expectation of reproducibility between two computations, expectations about replicability are more nuanced, and in some cases a lack of replicability can aid the process of scientific discovery. This report provides recommendations to researchers, academic institutions, journals, and funders on steps they can take to improve reproducibility and replicability in science. Table of Contents Front Matter Executive Summary Summary 1 Introduction 2 Scientific Methods and Knowledge 3 Understanding Reproducibility and Replicability 4 Reproducibility 5 Replicability 6 Improving Reproducibility and Replicability 7 Confidence in Science References Appendix A: Biographical Sketches of Committee Members and Staff Appendix B: Agendas of Open Committee Meetings Appendix C: Recommendations Grouped by Stakeholder Appendix D: Using Bayes Analysis for Hypothesis Testing Appendix E: Conducting Replicable Surveys of Scientific Communities

Maple is a comprehensive symbolic mathematics application which is well suited for demonstrating physical science topics and solving associated problems. Because Maple is such a rich application, it has a somewhat steep learning curve. Most existing texts concentrate on mathematics; the Maple help facility is too detailed and lacks physical science examples, many Maple-related websites are out of date giving readers information on older Maple versions. This book records the author's journey of discovery; he was familiar with SMath but not with Maple and set out to learn the more advanced application. It leads readers through the basic Maple features with physical science worked examples, giving them a firm base on which to build if more complex features interest them.

How do scientists impact society in the twenty-first century? Many scientists are increasingly interested in the impact that their research will have on the public. Scientists likewise must answer the question above when applying for funding from government agencies, particularly as part of the 'Broader Impacts' criterion of proposals to the US National Science Foundation. This book equips scientists in all disciplines to do just that, by providing an overview of the origins, history, rationale, examples, and case studies of broader impacts, primarily drawn from the author's experiences over the past five decades. Beyond including theory and evidence, it serves as a 'how to' guide for best practices for scientists. Although this book primarily uses examples from the NSF, the themes and best practices are applicable to scientists and applications around the world where funding also requires impacts and activities that benefit society.

Maple is a comprehensive symbolic mathematics application which is well suited for demonstrating physical science topics and solving associated problems. Because Maple is such a rich application, it has a somewhat steep learning curve. Most existing texts concentrate on mathematics; the Maple help facility is too detailed and lacks physical science examples, many Maple-related websites are out of date giving readers information on older Maple versions. This book records the author's journey of discovery; he was familiar with SMath but not with Maple and set out to learn the more advanced application. It leads readers through the basic Maple features with physical science worked examples, giving them a firm base on which to build if more complex features interest them.

Kari Byron-former host of the wildly popular, iconic cult classic MythBusters-shows how to crash test your way through life, no lab coat required. Kari Byron's story hasn't been a straight line. She started out as a broke artist living in San Francisco, writing poems on a crowded bus on the way to one of her three jobs. Many curve balls, unexpected twists, and yes, literal and figurative explosions later, and she's one of the world's most respected women in science entertainment, blowing stuff up on national television and getting paid for it! In Crash Test Girl, Kari reveals her fascinating life story on the set of MythBusters and beyond. With her signature gusto and roll-up-your-sleeves enthusiasm, she invites readers behind the duct tape and the dynamite, to the unlikely friendships and low-budget sets that turned a crazy idea into a famously inventive show with a rabid fanbase. The truth is, Mythbusters was never meant to be a science show. But attaching a rocket to a car, riding a motorcycle on water, or lighting 500 pounds of coffee creamer on fire requires a decent understanding of chemistry, physics, and engineering. Thus, the cast and crew brought in the scientific method to work through each problem: Question. Hypothesize. Experiment. Analyze. Conclude. And as Kari came to learn in her own life, not only is the scientific method the best approach for busting myths, it's also the perfect tool for solving everyday issues, including: Career * Love * Creativity * Setbacks * Money * Sexuality * Depression * Bravery Crash Test Girl reminds us that science is for everyone, as long as you're willing to strap in, put on your safety goggles, hit a few walls, and learn from the results. Using a combination of methodical experimentation and unconventional creativity, you'll come to the most important conclusion of all: In life, sometimes you crash and burn, but you can always crash and learn.