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Titlebook: IUTAM Symposium on Mechanical and Electromagnetic Waves in Structured Media; Proceedings of the I Ross C. McPhedran,Lindsay C. Botten,Nicol

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樓主: FLUX
11#
發(fā)表于 2025-3-23 11:42:06 | 只看該作者
Transport Properties of a Fibre-layer Composite MaterialWe study a composite material of the fibre - layer type by combination of the method of symmetry and the method of functional equations. Approximate analytical formulae are deduced for the effective conductivity tensor.
12#
發(fā)表于 2025-3-23 16:33:40 | 只看該作者
13#
發(fā)表于 2025-3-23 20:48:56 | 只看該作者
14#
發(fā)表于 2025-3-24 00:00:34 | 只看該作者
15#
發(fā)表于 2025-3-24 03:35:15 | 只看該作者
16#
發(fā)表于 2025-3-24 07:32:13 | 只看該作者
Energy Flux in Elasticity and Electromagnetisms are presented for systems which are linear, conservative, and for which the energy flux vector and energy density involve products of pairs of field quantities. Specific new results are given in the case of linear anisotropic elasticity and electromagnetism. Finite-amplitude plane waves in Mooney-Rivlin elastic materials are also considered.
17#
發(fā)表于 2025-3-24 12:00:05 | 只看該作者
18#
發(fā)表于 2025-3-24 15:49:43 | 只看該作者
Laplace Transform Methods and the Rayleigh Identity for an Array of Elliptical Cylindersansform can be used to obtain rapidly convergent representations for both the field expansions and the static lattice sums. Furthermore, these representations can be used to derive interesting analytic results involving the elliptic analogue of Rayleigh’s famous conditionally convergent dipole sum.
19#
發(fā)表于 2025-3-24 21:02:56 | 只看該作者
and consistent training sessions for learners. The AI-VT training sessions propose different exercises in regard to a capacity associated with sub-capacities. For example, in the field of training for algorithms, a capacity could be “Use a control structure alternative” and an associated sub-capacit
20#
發(fā)表于 2025-3-25 02:25:21 | 只看該作者
ive is bypassing model building by applying case-based prediction to reason directly from data. However, to our knowledge case-based prediction still has not been applied at true industrial scale. In previous work we introduced a knowledge-light/data intensive approach to case-based prediction, usin
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