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Titlebook: Interactive Dynamics of Convection and Solidification; S. H. Davis,H. E. Huppert,M. G. Worster Book 1992 Springer Science+Business Media D

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發(fā)表于 2025-3-25 17:03:47 | 只看該作者
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發(fā)表于 2025-3-25 21:33:00 | 只看該作者
Weakly Nonlinear Morphological Instability Analysis of a Sphere Crystallizing from an Undercooled Mnscritical and a second order perturbation expansion is sufficient. For harmonics such that shapes having perturbations with positive and negative amplitudes are related by symmetry, the bifurcation is either subcritical or supercritical and a third order perturbation expansion is necessary.
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發(fā)表于 2025-3-26 03:17:48 | 只看該作者
The Effect of Convection Motion on Dendritic Growth,ification, a convective motion in melt is produced. The fluid motion will affect the heat transport process and change the temperature distribution. We consider the melt as an incompressible Newtonian fluid. Then system involves the following parameters:
24#
發(fā)表于 2025-3-26 04:49:51 | 只看該作者
D. T. J. Hurleges via smartphone, and maintained contact with them over time. During the second lockdown in Portugal, in 2021, we re-interviewed them and received more images. Based on this data, in this chapter we develop a reflection not only on the process of conducting biographical research in abruptly change
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發(fā)表于 2025-3-26 10:07:11 | 只看該作者
26#
發(fā)表于 2025-3-26 13:48:15 | 只看該作者
G. B. McFadden,R. J. Braun,B. T. Murray,S. R. Coriell,M. E. Glicksmanges via smartphone, and maintained contact with them over time. During the second lockdown in Portugal, in 2021, we re-interviewed them and received more images. Based on this data, in this chapter we develop a reflection not only on the process of conducting biographical research in abruptly change
27#
發(fā)表于 2025-3-26 17:07:54 | 只看該作者
A. K. Hobbs,P. Metzenertic data, which are not always available. To overcome this problem, we propose a new deep learning computational tool called LoopNetica by utilizing a combination of one-dimensional convolutional neural networks and a multi-head attention mechanism. It can accurately predict the formation of chromat
28#
發(fā)表于 2025-3-26 21:54:16 | 只看該作者
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發(fā)表于 2025-3-27 02:17:59 | 只看該作者
30#
發(fā)表于 2025-3-27 05:49:15 | 只看該作者
Robert A. Brown,T. C. John Lee,Kostas Tsiveriotising bidirectional gated recurrent units and self-attention. The CircMAN method achieved an AUC of 0.923 on 37 circRNA datasets. Its effectiveness was confirmed through comparisons with five different methods and multiple ablation experiments. The source code can be available at ..
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