Energy Landscapes Of Nanoscale Systems

Energy Landscapes of Nanoscale Systems provides a snapshot of the state-of-the-art in energy landscapes theory and applications. The book's chapters reflect diversity and knowledge transfer that is a key strength of the energy landscape approach. To reflect the breadth of this field, contributions include applications for clusters, biomolecules, crystal structure prediction and glassy materials. Chapters highlighting new methodologies, especially enhanced sampling techniques are included. In particular, the development and application of global optimization for structure prediction, methods for treating broken ergodicity on multifunnel landscapes, and treatment of rare event dynamics that reflect the state-of-the-art are featured. This book is an important reference source for materials scientists and energy engineers who want to understand more about how nanotechnology applies to the energy landscape approach. This volume is dedicated to Prof. Roy L. Johnston, who was formerly Co-Editor of the Frontiers of Nanoscience series, and who passed away in 2019. Outlines applications and advances in theory and simulation of energy systems at the nanoscale Explores how the energy landscapes approach is being applied to nanoscale materials Assesses major challenges in applying nanomaterials for energy applications on an industrial scale

This volume gathers selected contributions from the participants of the Banff International Research Station (BIRS) workshop Coupled Mathematical Models for Physical and Biological Nanoscale Systems and their Applications, who explore various aspects of the analysis, modeling and applications of nanoscale systems, with a particular focus on low dimensional nanostructures and coupled mathematical models for their description. Due to the vastness, novelty and complexity of the interfaces between mathematical modeling and nanoscience and nanotechnology, many important areas in these disciplines remain largely unexplored. In their efforts to move forward, multidisciplinary research communities have come to a clear understanding that, along with experimental techniques, mathematical modeling and analysis have become crucial to the study, development and application of systems at the nanoscale. The conference, held at BIRS in autumn 2016, brought together experts from three different communities working in fields where coupled mathematical models for nanoscale and biosystems are especially relevant: mathematicians, physicists (both theorists and experimentalists), and computational scientists, including those dealing with biological nanostructures. Its objectives: summarize the state-of-the-art; identify and prioritize critical problems of major importance that require solutions; analyze existing methodologies; and explore promising approaches to addressing the challenges identified. The contributions offer up-to-date introductions to a range of topics in nano and biosystems, identify important challenges, assess current methodologies and explore promising approaches. As such, this book will benefit researchers in applied mathematics, as well as physicists and biologists interested in coupled mathematical models and their analysis for physical and biological nanoscale systems that concern applications in biotechnology and medicine, quantum information processing and optoelectronics.

A self-contained account of energy landscape theory aimed at graduate students and researchers.

For the past three decades, nanoscale science and engineering have provided many systems with unique and unprecedented properties, illustrating that these will definitely determine the trajectory of science and technology for years to come. This book is the first textbook to introduce nanoscale systems in a pedagogical, and not research, style. Through ample examples and problems, it emphasizes the difference between bulk and nanoscale systems from a thermodynamic viewpoint and illustrates the process when a bulk system enters the nanoscale domain. It also brings together results of state-of-the-art research and provides the reader with the scientific foundations of such results. It introduces the fundamental thermodynamic treatment of nanoscale systems as well as the structure, properties, and performance of the three different types of fullerenes, namely, spherical, cylindrical, and planar or graphene. In addition, it discusses 2-D materials systems based on such building blocks. Finally, it shows the thermodynamic criteria allowing nanoscale performance in physically huge systems.

Computational modeling can provide a wealth of insight into how energy flow in proteins mediates protein function. Computational methods can also address fundamental questions related to molecular signaling and energy flow in proteins. Proteins: Energy, Heat and Signal Flow presents state-of-the-art computational strategies for studying energy redi

This text focuses on the physics of fluid transport in micro- and nanofabricated liquid-phase systems, with consideration of gas bubbles, solid particles, and macromolecules. This text was designed with the goal of bringing together several areas that are often taught separately - namely, fluid mechanics, electrodynamics, and interfacial chemistry and electrochemistry - with a focused goal of preparing the modern microfluidics researcher to analyse and model continuum fluid mechanical systems encountered when working with micro- and nanofabricated devices. This text serves as a useful reference for practising researchers but is designed primarily for classroom instruction. Worked sample problems are included throughout to assist the student, and exercises at the end of each chapter help facilitate class learning.

Inspired by the leading authority in the field, the Centre for Process Systems Engineering at Imperial College London, this book includes theoretical developments, algorithms, methodologies and tools in process systems engineering and applications from the chemical, energy, molecular, biomedical and other areas. It spans a whole range of length scales seen in manufacturing industries, from molecular and nanoscale phenomena to enterprise-wide optimization and control. As such, this will appeal to a broad readership, since the topic applies not only to all technical processes but also due to the interdisciplinary expertise required to solve the challenge. The ultimate reference for years to come.

Every day we need to solve large problems for which supercomputers are needed. High performance computing (HPC) is a paradigm that allows to efficiently implement large-scale computational tasks on powerful supercomputers unthinkable without optimization. We try to minimize our effort and to maximize the achieved profit. Many challenging real world problems arising in engineering, economics, medicine and other areas can be formulated as large-scale computational tasks. The volume is a comprehensive collection of extended contributions from the High performance computing conference held in Borovets, Bulgaria, September 2019. This book presents recent advances in high performance computing. The topics of interest included into this volume are: HP software tools, Parallel Algorithms and Scalability, HPC in Big Data analytics, Modelling, Simulation & Optimization in a Data Rich Environment, Advanced numerical methods for HPC, Hybrid parallel or distributed algorithms. The volume is focused on important large-scale applications like Environmental and Climate Modeling, Computational Chemistry and Heuristic Algorithms.