Ar—N2系统的相互作用势研究和输运系数计算

对ＢＯＷＥＲＳ等人的Ａｒ－Ｎ２相互作用势进行了修正，并利用量子力学的ＩＯＳＡ方法计算了Ａｒ在Ｎ２气体中的扩散系数和粘滞系数。结果表明，输运系数的计算结果，与实验数据的符合程度得到了明显改善。     

钾双原子分子2^1∑^＋——x^1∑^g的跃迁连续谱带研究

理论计算了钾双原子分子２＾１∑＾＋ｕ－－Ｘ＾１∑＾＋ｇ跃迁所得到的扩散带荧光谱，并与Ｇｏｎｄａｌ等和Ｌｕｈ等以及Ｍｉｌｏｓｅｖｉｃ等的实验结果进行了比较，计算结果与Ｌｕｈ等和Ｍｉｌｏｓｅｖｉｃ等的实验结果符合很好，排除了６００ｎｍ附近扩散带来自Ｋ２２＾１∑＾＋ｕ－ｘ＾１∑＾＋ｇ跃迁的可能性。     

对称递减对角占优阵

本文提出对称递减对角占优阵和亚对称递减对角占优阵的概念,给出它们的一种实现阵的构造方法,指出这类Fuzzy阵的容度不大于它的阶数。     

二元综合鉴别函数的神经网络优化

根据Ｈｏｐｆｉｅｌｄ神经网络的优化功能，对综合鉴别函数进行二元优化，使相关输出具有期的望的形状及峰值大小，从而实现旋转不变识别，并定义了一个判别依据－判别比，计算机模拟的结果表明，目标物体通过优化的二元滤波器后，不仅具有期望输出，而且判别经要比伪目标物体至少大一个量级。     

IPA型菲涅尔全息联想存贮器

本文提出了一种用菲涅尔全息片实现的IPA(Interpattern Association)型联想存贮器。其对不独立的存贮模式有较强的分辨能力,采用菲涅尔全息片,可以实现大神经元数目的光学联想存储,具有较大的存储能力。     

视频台上光学演示实验组合装置

本文介绍可在多媒体视频展示台上完成多种光学演示实验的组合装置。     

新型高效相转移催化剂在二氯卡宾制备中的应用

本文合成了分子内具有缩乙二醇甲醚链段的季铵盐类,既能与阳离子络合,又能与阴离子部分络合。通过氯仿与环乙烯或苯甲醛的加成反应,证明它是一类高效相转移催化剂。     

单层石墨烯水分子吸附对其光学性质的影响

用基于第一性原理中的密度泛函理论MS软件对水分子吸附在单层石墨烯表面进行计算,使用广义梯度近似和周期性平面模型,得到不同数量的水分子吸附在石墨烯表面上的吸附能,并且计算了相对应的光学性质.得到的结果是吸附能很小,主要是范德瓦尔斯相互作用.石墨烯具有高疏水性,水分子在石墨烯表面对石墨烯的电子结构几乎没有作用,吸附不同个数的水分子后对石墨烯的光学性质有一定影响,其中吸附单个水分子后变化并不明显,吸附2或3个水分子后吸收率和光电导率略有下降;折射率和消光率下降不明显,说明吸附水对石墨烯的透明度影响不大;介电函数的实数部分变化趋于平缓,虚数部分有明显下降;能量损失增加.     

Intelligent algorithms: new avenues for designing nanophotonic devices [Invited]

The research on nanophotonic devices has made great progress during the past decades. It is the unremitting pursuit of researchers that realize various device functions to meet practical applications. However, most of the traditional methods rely on human experience and physical inspiration for structural design and parameter optimization, which usually require a lot of resources, and the performance of the designed device is limited. Intelligent algorithms, which are composed of rich optimized algorithms, show a vigorous development trend in the field of nanophotonic devices in recent years. The design of nanophotonic devices by intelligent algorithms can break the restrictions of traditional methods and predict novel configurations, which is universal and efficient for different materials, different structures, different modes, different wavelengths, etc. In this review, intelligent algorithms for designing nanophotonic devices are introduced from their concepts to their applications, including deep learning methods, the gradient-based inverse design method, swarm intelligence algorithms, individual inspired algorithms, and some other algorithms. The design principle based on intelligent algorithms and the design of typical new nanophotonic devices are reviewed. Intelligent algorithms can play an important role in designing complex functions and improving the performances of nanophotonic devices, which provide new avenues for the realization of photonic chips.