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纳米粒网络对于手性液晶反射光谱的展宽效应 被引量:9
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作者 黄子强 杨文君 王继岷 《液晶与显示》 CAS CSCD 北大核心 2006年第1期1-5,共5页
依据分子呈螺旋型排列的介质的电磁场解计算了给定厚度的手性液晶的光谱反射率与其双折射的关系,依据布拉格反射的干涉条件计算了斜入射光的布拉格反射光谱的蓝移。从中发现:(1)若液晶的双折射大于0.2,液晶层的厚度达到3μm就可使反射... 依据分子呈螺旋型排列的介质的电磁场解计算了给定厚度的手性液晶的光谱反射率与其双折射的关系,依据布拉格反射的干涉条件计算了斜入射光的布拉格反射光谱的蓝移。从中发现:(1)若液晶的双折射大于0.2,液晶层的厚度达到3μm就可使反射率高于90%;(2)若要以液晶的平面态实现整个光谱范围的布拉格反射,液晶的双折射应当达到0.6以上;(3)入射角达到60°时手性液晶的反射光谱蓝移可达到100nm。然而,商品手性液晶的双折射只有0.2左右,为了将这样的手性液晶用于在整个可见光谱反射的显示器件,就需要在液晶中引入聚合物网络,并在玻璃基片表面实现聚合物的凹凸结构。网络的作用是要在液晶层中建立随机分布的分子锚定机制,使手性液晶的螺距随位置而变化,从而展宽其布拉格反射谱。基片表面的凹凸结构用于诱导液晶螺旋轴的斜向随机分布,以利用倾斜螺旋结构布拉格反射的蓝移现象,进一步展宽布拉格反射谱。实验证明,在液晶中引入聚合物网络和表面的凹凸结构以后,手性液晶的布拉格反射区间由原来的80nm增加到120nm以上,对比度达到4∶1左右。 展开更多
关键词 手性液晶 反射光谱 胆甾型 纳米粒网络
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Study on preparation of In_2O_3 superfine powder via polymer-network process 被引量:1
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作者 刘胜峰 赵国丹 +1 位作者 韩效钊 唐述培 《Journal of Southeast University(English Edition)》 EI CAS 2004年第2期212-215,共4页
Nanocrystalline,single-phase undoped In 2O 3 was prepared by a polymer-network synthesis technique with indium nitrate as the starting material;several methods such as X-ray diffractometry (XRD) and transmission ele... Nanocrystalline,single-phase undoped In 2O 3 was prepared by a polymer-network synthesis technique with indium nitrate as the starting material;several methods such as X-ray diffractometry (XRD) and transmission electron microscopy (TEM) were employed to obtain detailed information on the crystallography and microstructual appearance of In 2O 3 superfine powders. The influence of the concentration of starting solution,calcination temperature and time on the particle size was also that investigated by means of the XRD patterns. Results indicate that the obtained powders are mostly crystalline single phase with uniform size and also that the size of the products can be controlled under proper condition. 展开更多
关键词 indium trioxide nanoscale particle polymer-network method
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Probing enzyme-nanoparticle interactions using combinatorial gold nanoparticle libraries 被引量:2
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作者 Yanyan Liu David A. Winkler +2 位作者 V. Chandana Epa Bin Zhang Bing Yan 《Nano Research》 SCIE EI CAS CSCD 2015年第4期1293-1308,共16页
The interaction of nanoparticles with proteins is extremely complex, important for understanding the biological properties of nanomaterials, but is very poorly understood. We have employed a combinatorial library of s... The interaction of nanoparticles with proteins is extremely complex, important for understanding the biological properties of nanomaterials, but is very poorly understood. We have employed a combinatorial library of surface modified gold nanoparticles to interrogate the relationships between the nanoparticle surface chemistry and the specific and nonspecific binding to a common, important, and representative enzyme, acetylcholinesterase (ACHE). We also used Bayesian neural networks to generate robust quantitative structure-property relationship (QSPR) models relating the nanoparticle surface to the AChE binding that also provided significant understanding into the molecular basis for these interactions. The results illustrate the insights that result from a synergistic blending of experimental combinatorial synthesis and biological testing of nanoparticles with quantitative computational methods and molecular modeling. 展开更多
关键词 gold nanoparticles surface modification enzyme inhibition ACETYLCHOLINESTERASE protein binding modeling quantitative structure-property relationship(QSPR) neural network
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