粗茎乌碱I相对空间构型的NMR解析

综合利用1↑HNMR、13↑CNMR、DEPT、COSY、HMQC和HMBC等NMR技术,对从黄草乌中分离提取的粗茎乌碱类化合物进行了结构解析,分析结果表明,该化合物含有乌头生物碱化合物母核,以及1个甲氧基苯基片段和1个乙酸基片段,并最终确证该化合物为粗茎乌碱I。根据该化合物特有的刚性特征,利用ROESY实验并辅以1D—GOESY等实验手段完成了该化合物的相对空间结构的解析。     

2，2-联吡啶-3，3-二羧酸桥联的具有2D网格结构的Mn配位聚合物的合成、晶体结构

A Manganese(Ⅱ) polymer {[Mn(bpdc)(bipy)(H₂O)]·4.5H₂O}_n has been synthesized (bpdc=2,2-bipyridine-3,3-dicarboxylate,bipy=4,4-bipyridine) and characterized by IR, UV, elemental analysis and X-ray crystal structure determination . It crystallizes in Monoclinic system, space group P2/n with a=1.010 13(8) nm, b=1.164 66(9) nm, c=2.147 40(16) nm, β=98.22 20(10)°, V=2.500 4(3) nm³, Z=4, D_c=1.467 g·cm^-3, F(000)=1 144, R₁=0.049 0, wR₂=0.141 2. The crystal structure shows that the Mn²⁺ ions have octahedral coordination geometry with two coordination situations. The Mn²⁺ (1) ion is coordinated with two N atoms of two bipy, and chelated by four O atoms from four carboxylate groups of two bpdc ligands. The neighbor Mn²⁺ (2) ion is coordinated with two oxygen atoms from two water, two N atoms of two 4,4-bipy and two O atoms from two carboxylate groups of two bpdc ligands. Mn(1) and Mn(2) ions are bridged by bpdc and bipy ligands, forming a novel 2D network. CCDC: 651043.     

烧结温度对红色长余辉发光材料Ca0.8Zno.2TiO3∶ Pr3+,Na+性能的影响

采用溶胶凝胶燃烧法合成了Ca0.8Zn0.2TiO3∶Pr3+,Na+纳米红色长余辉发光材料,利用XRD、SEM、荧光分光光度计、热释光谱仪和照度计研究了烧结温度对样品物相、形貌以及发光性能的影响.结果表明:煅烧温度为600℃时生成了CaTiO3相,当烧结温度大于700℃时,出现了Zn2TiO4相;随煅烧温度的升高,样品的晶粒逐渐变大,平均晶粒尺寸均小于100nm;不同温度下样品的激发峰位于328nm,发射峰位于613 nm,归属于P,+的1D2-3 H4跃迁;当烧结温度为800℃时,样品的初始亮度和余辉时间最佳,其分别为2000 mcd/m2和10 min(≥1mcd/m2).     

窄域上2D弱阻尼KdV方程的blow-up的研究

得到了2D的弱阻尼KdV方程在窄域上blow-up时间估计.     

Electronic Phase Separation in Iron Selenide(Li,Fe)OHFeSe Superconductor System

The phenomenon of phase separation into antiferromagnetic(AFM) and superconducting(SC) or normal-state regions has great implication for the origin of high-temperature(high-T_c) superconductivity. However, the occurrence of an intrinsic antiferromagnetism above the T_c of(Li,Fe)OHFe Se superconductor is questioned. Here we report a systematic study on a series of(Li,Fe)OHFe Se single crystal samples with T_c up to ～41 K. We observe an evident drop in the static magnetization at T_(afm) ～ 125 K, in some of the SC(T_c 38 K, cell parameter c■9.27 ?) and non-SC samples. We verify that this AFM signal is intrinsic to(Li,Fe)OHFe Se. Thus, our observations indicate mesoscopic-to-macroscopic coexistence of an AFM state with the normal(below T_(afm)) or SC(below T_c) state in(Li,Fe)OHFe Se. We explain such coexistence by electronic phase separation, similar to that in high-T_c cuprates and iron arsenides. However, such an AFM signal can be absent in some other samples of(Li,Fe)OHFe Se, particularly it is never observed in the SC samples of T_c 38 K, owing to a spatial scale of the phase separation too small for the macroscopic magnetic probe. For this case, we propose a microscopic electronic phase separation. The occurrence of two-dimensional AFM spin fluctuations below nearly the same temperature as T_(afm), reported previously for a(Li,Fe)OHFe Se(T_c ～ 42 K) single crystal, suggests that the microscopic static phase separation reaches vanishing point in high T_c(Li,Fe)OHFe Se. A complete phase diagram is thus established. Our study provides key information of the underlying physics for high-T_c superconductivity.     

GaN蓝光二极管杂质发光的近场光谱研究

运用近场光谱方法研究了在蓝宝石衬底上用低压ＭＯＣＶＤ方法外延生长的ＧａＮ蓝光二极管的杂质发光光谱．研究结果表明近场光谱能够给出样品表面微区空间分辨的局域光谱信息,为研究样品表面微观发光机理提供了一个有力的手段．对近场光谱中各发光峰的强度随注入电流（电压）变化曲线的研究结果揭示出ＧａＮ蓝光二极管的能带中的施主能级,在ＧａＮ蓝绿光二极管的发光中和受主深能级同样都起着重要的作用．     

三量子位纯态的混合纠缠

提出了一种特殊的真正的三量子位纯态的混合纠缠,与Greenberger-Horne-Zeilinger(GHZ)纠缠和W纠缠不同的是,它同时具有GHZ纠缠和W纠缠的性质。用两个由四个非多余基向量组成的不等价集合来构造混合纠缠态并引入一种新的测量方法,即采用总纠缠度的方法来量化三量子位纯态的纠缠情况（包括混合纠缠）。揭示了Walther等已报道的实验中最终态下出现混合纠缠,且其中W纠缠比GHZ纠缠占比更大这一现象。     

基于OTDR技术的光纤测试方法探讨

为保障光纤参数的测试精度,提高光纤参数测试速度,通过理论分析与采用先进OTDR的实际操作进行技术探讨,得到高档OTDR的五种参数设置,可使盲区减小到10 m及以下.OTDR在光纤通信测试和维护领域起着不可替代的主要作用,现有OTDR自动化程度较高,测试时间短,但尚未解决的问题是如何使用人工智能进行光纤参数全自动测试.     

基于深度学习的复杂沙漠背景SAR目标检测

SAR目标检测,因成像场景大、背景复杂多变而极具挑战。传统基于恒虚警率的SAR目标检测方法极易受背景干扰。针对上述问题,提出一种基于深度学习的复杂沙漠背景SAR目标端对端检测识别系统。即采用小规模沙漠背景下的SAR图像数据对Faster-RCNN网络进行迁移训练,一体化完成典型目标的检测与识别。基于合成数据集Desert-SAR的试验结果表明,与传统方法相比,该方法检测速度更快、准确率更高、鲁棒性更强。