Computational Biomechanics for Medicine

Computational Biomechanics for Medicine: Imaging, Modeling and Computing
Springer | Biomedical Engineering | July 17, 2016 | ISBN-10: 3319283278 | 203 pages | pdf | 7.17 mb

Editors: Joldes, G.R., Doyle, B., Wittek, A., Nielsen, P.M.F., Miller, K. (Eds.)

The Computational Biomechanics for Medicine titles provide an opportunity for specialists in computational biomechanics to present their latest methodologies and advancements. This volume comprises eighteen of the newest approaches and applications of computational biomechanics, from researchers in Australia, New Zealand, USA, UK, Switzerland, Scotland, France and Russia. Some of the interesting topics discussed are: tailored computational models; traumatic brain injury; soft-tissue mechanics; medical image analysis; and clinically-relevant simulations.

One of the greatest challenges facing the computational engineering community is to extend the success of computational mechanics to fields outside traditional engineering, in particular to biology, the biomedical sciences, and medicine. We hope the research presented within this book series will contribute to overcoming this grand challenge.

Number of Illustrations and Tables

8 b/w illustrations, 85 illustrations in colour

Topics

Biomedical Engineering

Imaging / Radiology

Medical and Radiation Physics

Robotics and Automation

Biomaterials

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Higher-order Techniques in Computational Electromagnetics

Higher-order Techniques in Computational Electromagnetics (Mario Boella Series on Electromagnetism in Information and Communication) by Roberto D. Graglia, Andrew F. Peterson
2016 | ISBN: 1613530161 | English | 408 pages | PDF | 10 MB

Higher-order Techniques in Computational Electromagnetics takes a different approach to computational electromagnetics and looks at it from the viewpoint of vector fields and vector currents. It gives a more detailed treatment of vector basis function than that currently available in other books. It also describes the approximation of vector quantities by vector basis functions, explores the error in that representation, and considers various other aspects of the vector approximation problem.

This unique guide is the perfect reference guide for those who need to understand and use numerical techniques for electromagnetic fields.

Computational Nanotechnology Using Finite Difference Time Domain (Repost)

Computational Nanotechnology Using Finite Difference Time Domain By Sarhan M. Musa
2013 | 402 Pages | ISBN: 1466583614 | PDF | 44 MB

The Finite Difference Time Domain (FDTD) method is an essential tool in modeling inhomogeneous, anisotropic, and dispersive media with random, multilayered, and periodic fundamental (or device) nanostructures due to its features of extreme flexibility and easy implementation. It has led to many new discoveries concerning guided modes in nanoplasmonic waveguides and continues to attract attention from researchers across the globe.
Written in a manner that is easily digestible to beginners and useful to seasoned professionals, Computational Nanotechnology Using Finite Difference Time Domain describes the key concepts of the computational FDTD method used in nanotechnology. The book discusses the newest and most popular computational nanotechnologies using the FDTD method, considering their primary benefits. It also predicts future applications of nanotechnology in technical industry by examining the results of interdisciplinary research conducted by world-renowned experts.
Complete with case studies, examples, supportive appendices, and FDTD codes accessible via a companion website, Computational Nanotechnology Using Finite Difference Time Domain not only delivers a practical introduction to the use of FDTD in nanotechnology but also serves as a valuable reference for academia and professionals working in the fields of physics, chemistry, biology, medicine, material science, quantum science, electrical and electronic engineering, electromagnetics, photonics, optical science, computer science, mechanical engineering, chemical engineering, and aerospace engineering.