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Andrew Childs Phd '04, now professor of computer science at the University of Maryland, described efficient methods for simulating quantum physics on quantum computers.
A data-fitting scheme is described, efficient enough for routine analysis of sorption data with small bench-top computers.
In our previous papers we have described efficient and reliable methods of generation of representative volume elements (RVE) perfectly suitable for analysis of composite materials via stochastic homogenization.
During the last few years, a large portion of the published articles about MNPs have described efficient routes to attain shape-controlled, highly stable, and narrow size distribution MNPs.
In the last decades, much research has been developed to the synthesis of iron oxide NPs, and many reports have described efficient synthesis approaches to produce the shape-controlled, stable, biocompatible, and monodispersed iron oxide NPs.
In contrast, many recent publications have described efficient routes to obtain the monodispersed NPs, surfactants such as dextran or polyvinyl alcohol (PVA) can be added in the reaction media, or the particles can be coated in a subsequent step [17, 18].
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Therefore, we also describe efficient schemes for sampling the microfacet models and the corresponding probability density functions.
The Graphics Gems series of books describes efficient intersection testing algorithms for a number of different geometries.
We describe efficient methods for reconstruction of the full-sky polarisation pattern and estimation of sun position.
We describe efficient ways to solve the optimization programs and present results for various applications.
Two recent studies describe efficient genome editing in T cells using CRISPR and TALEN approaches.
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