Titlebook: Modeling of Magnetoelectric Effects in Composites; Mirza Bichurin,Vladimir Petrov Book 2014 Springer Science+Business Media Dordrecht 2014

果园

书目名称Modeling of Magnetoelectric Effects in Composites影响因子(影响力)




书目名称Modeling of Magnetoelectric Effects in Composites影响因子(影响力)学科排名




书目名称Modeling of Magnetoelectric Effects in Composites网络公开度




书目名称Modeling of Magnetoelectric Effects in Composites网络公开度学科排名




书目名称Modeling of Magnetoelectric Effects in Composites被引频次




书目名称Modeling of Magnetoelectric Effects in Composites被引频次学科排名




书目名称Modeling of Magnetoelectric Effects in Composites年度引用




书目名称Modeling of Magnetoelectric Effects in Composites年度引用学科排名




书目名称Modeling of Magnetoelectric Effects in Composites读者反馈




书目名称Modeling of Magnetoelectric Effects in Composites读者反馈学科排名

反抗者

0933-033X s for magnetoelectric coefficients enable finding an optimal.This book brings together numerous contributions to the field of magnetoelectric (ME) composites that have been reported so far. Theoretical models of ME coupling in composites relate to the wide frequency range: from low-frequency to micr

口味

身体萌芽

0933-033X ld, so that the potential of the field can be made transparent to new generations of talent to advance the subject matter..978-94-024-0347-3978-94-017-9156-4Series ISSN 0933-033X Series E-ISSN 2196-2812

Scleroderma

NEG

https://doi.org/10.1007/978-94-017-9156-4Electromechanical Resonance Frequency; Electromechanical Resonance Region; Laminate Composites; ME Effe

concert

繁重

Modeling of Magnetoelectric Effects in Composites978-94-017-9156-4Series ISSN 0933-033X Series E-ISSN 2196-2812

ethereal

Mirza Bichurin,Vladimir PetrovNumerous step-by-step tutorials help the reader to estimate the peak values of magnetoelectric parameters of a composite.Explicit expressions for magnetoelectric coefficients enable finding an optimal

陪审团每个人

The State of Applications and Impacts of Biotechnology in the Livestock Sector,se category, namely, Côte d’Ivoire, Ethiopia, Ghana, Mali, Mauritius, Namibia, Nigeria, Sudan, Tanzania and Uganda. The remaining 33 countries for which information was available were categorized as ‘low’ or ‘very low’. Overall, livestock comes second to crops in terms of level of biotechnology applications in SSA.