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Fatigue Life Prediction of Composites and Composite Structures, Second Edition, is a comprehensive review of fatigue damage and fatigue life modeling and prediction methodologies for composites and their use in practice. In this new edition, existing chapt ...
Identifying nuclei is often a critical first step in analyzing microscopy images of cells and classical image processing algorithms are most commonly used for this task. Recent developments in deep learning can yield superior accuracy, but typical evaluati ...
This paper outlines an approach towards improved rigour in tokamak turbulence transport model validation within integrated modelling. Gaussian process regression (GPR) techniques were applied for profile fitting during the preparation of integrated modelli ...
Hybrid perovskites are currently one of the most active fields of research owing to their enormous potential for photovoltaics. The performance of 3D hybrid organic-inorganic perovskite solar cells has increased at an incredible rate, reaching power conver ...
Recent years have seen an exponential increase in the amount of data available in all sciences and application domains. Macroecology is part of this "Big Data" trend, with a strong rise in the volume of data that we are using for our research. Here, we sum ...
Dynamic nuclear polarization (DNP)-enhanced solid-state NMR spectroscopy under magic-angle spinning has recently emerged as a unique analytical method to probe surfaces at atomic resolution. In this article, we first describe the basic principles of dynami ...
Recent developments have enabled the practical realization of optical elements in which the polarization of light may vary spatially. We present an extension of Fourier optics-matrix Fourier optics-for understanding these devices and apply it to the design ...
The technological and experimental progress in electrochemical imaging of biological specimens is discussed with a view on potential applications for skin cancer diagnostics, reproductive medicine and microbial testing. The electrochemical analysis of sing ...
Recent developments in chip-based nonlinear photonics offer the tantalizing prospect of realizing many applications that can use optical frequency comb devices that have form factors smaller than 1 cm(3) and that require less than 1 W of power. A key featu ...
We describe some recent developments in the efficient modelling of light-matter interactions in plasmonics and nanophotonics. In particular, we describe an efficient finite-difference time-domain (FDTD) method to compute regularized quasinormal modes in re ...
