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Photoexcitation of Complex Molecular Systems through Combined FirstPrinciples...
全球变化科学紫荆论坛第439期:基于850hPa相对涡度的热带气旋路径追踪识别方法
Controlling the Structure of Inference and Learning in Neural Networks
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报告题目:
Through Separation towards Collaboration
 报告人:
Valentin D. Borisevich
分子物理系(MEPhI)教授,莫斯科工程物理学院(国立大学)
报告时间:
2006-01-16 10:00
报告地点:
清华大学中央主楼327会议室
主办单位:
工程物理系
  简介:

1.   The 15 years long impression on Tsinghua University.

2.   The discovery of isotopes in 1910 by the Nobel Prize winner Frederie Seddy and its influence on the human activities, plus prospective applications.

3.   The relationship between China and Russia like a mirror of the relationship between Department of Engineering Physics of Tsinghua University and MEPhI.

4.   A short presentation of molecular Physics Department of MEPhI (when founded, major direction of research, main achievements).

5.   Themes proposed for collaboration between Tsinghua (Department of Engineering Physics) and MEPhI.

(a)           Further development of the theory for optimum cascade for binary isotope mixture separation.

(b)           Broadening this approach to multicomponent isotope mixtures.

(c)           Calculation of cascades for several fixed concentrations in a product flow.

(d)           Development of techniques to calculation cascade concentrations with the extremely high accuracy.

6. Acknowledgement.                                              

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