Pyridine-induced interfacial structural transformation of tetraphenylethylene derivatives investigated by scanning tunneling microscopy

The two-dimensional self-assembly behaviors of tetraphenylethylene (TPE) molecules are significant for further applications, but reports are rare. The self-assembled structures of two C₂-symmetry TPE derivatives (H₄TCPE and H₄ETTC) possessing propeller structures and their stimulus responses to the addition of vinylpyridine derivatives were thoroughly studied with the assistance of scanning tunneling microscopy (STM) technique in combination with density functional theory (DFT) calculations. Although their chemical structures were similar, the H₄TCPE and H₄ETTC molecules self-assembled into closely packed lamellar and quadrilateral structures, respectively, at the 1-heptanoic acid/HOPG interface. After the addition of pyridine derivatives (DPE, PEBP-C4, and PEBP-C8), H₄TCPE and H₄ETTC showed different responsiveness resulting in different co-assembly structures. The results indicated that the structures of pyridine derivatives—including backbones and substituents—affected the intermolecular interactions of both H₄TCPE/pyridine and H₄ETTC/pyridine systems. The modification of the self-assembly behaviors of propeller-shaped H₄TCPE and H₄ETTC would contribute to the construction of more complex multilevel nanostructures.

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Large capacitance and fast polarization response of thin electrolyte dielectrics by spin coating for two-dimensional MoS2 devices

Nano Research - A spin-coating method was applied to obtain thinner and smoother PEO/LiClO4 polymer electrolyte films (EFs) with a lower level of crystallization than those obtained using a...     

Visible light-driven superoxide generation by conjugated polymers for organic synthesis

Nano Research - Benefiting from their unique delocalized electronic structure, conjugated polymer-based semiconductors are widely applied in the fields of organic electronics, sensors, and...     

基于Multitone信号的伺服系统频率特性测试方法研究

提出了一种频率特性测试方法,该方法以Multitone信号作为激励信号来减少测试时间,并运用相关分析法作为数据处理方法来提高测试精度;以某型舵机系统为例,对该方法进行了实验验证;实验结果表明,其测试精度与传统的测试方法基本相同,测试时间减少一半;该方法能有效减少噪声对测量结果的影响,适合频率特性的快速高精度测试。     

整体最小二乘法在精同步中的应用

为了验证整体最小二乘法(TLS,Total Least Squares)比最小二乘法(LS,Least Squares)更适用于精同步,提出了基于整体最小二乘的精同步方法;该方法以PN码基于BPSK调制的同步模型为基础,在接收端得到鉴相曲线后,对鉴相曲线零值点附近的几个固定位置的数据点利用QR分解和奇异值分解的整体最小二乘法拟合出鉴相曲线,求出同步误差;最后通过在Matlab软件上的仿真,得出结论:在噪声环境下,整体最小二乘法在同步中的应用可以得到优于基于普通最小二乘法的同步法的测量精度和稳定性;特别是在信噪比较低的条件下,基于整体最小二乘的精同步测量精度提升了3倍多,同事稳定性提升5倍多。     

基于改进双曲正切函数的变步长最小平均p范数算法

在信号处理领域,传统的自适应滤波算法采用的固定步长会导致稳态误差和收敛速度无法同时兼顾。针对这个问题,对最小平均p范数(Least Mean p-norm,LMP)算法进行改进,提出了一种基于改进双曲正切(tanh)函数的变步长最小平均p范数算法。该算法利用改进的tanh函数来调节步长,采用移动加权平均法构造变步长函数;同时引入了一个调节函数以进一步提升算法的性能。通过在海洋脉冲噪声干扰下进行仿真,实验表明,与已有的固定步长和变步长算法相比,改进的变步长LMP算法较好地兼顾系统的收敛速度和稳态误差;引入调节函数后的新算法在保证原有算法收敛速度的同时进一步降低了算法的稳态误差,从而兼顾了算法的收敛性和稳定性,具有较好的可行性。     

基于超声相控技术的船舶吃水测量方法

为了解决内河船舶因超吃水引起的通航阻塞以及船舶安全问题,提出一种基于超声相控技术的船舶吃水测量方法。以超声相控技术为理论基础,通过控制一维线型超声相控阵列换能器发射聚焦声波,实现对目标船舶的相控扫描,获取各扫描点的回波信号;利用匹配滤波算法对回波信号进行滤波,改善信噪比;利用阈值法提取回波信号的时延;利用渡越时间法,计算出扫描点到各发射振元中心的距离,利用双曲交汇法计算出扫描点的空间坐标;分析回波信号幅值和扫描点位置坐标即可得到船舶吃水深度。为验证方法的可靠性,搭建了小比尺船模吃水测量实验系统,分析了110~140 mm不同吃水深度下的实验结果,计算了实际吃水与测量吃水间的相对误差。实验结果表明,使用匹配滤波法处理后的回波信号信噪比从15.26 dB提高至36.39 dB,实验时,最大相对误差出现在船舶实际吃水130 mm时,绝对误差为2.3 mm,相对误差为1.7%。     

一种变温环境下水听器灵敏度校准系统的设计

针对缺少在变温条件下校准水听器灵敏度方法的问题,设计了一套基于动圈换能器声管的变温水听器灵敏度校准系统。建立模型分析声管内的声压分布,并计算了变温后对灵敏度校准结果的补偿量;利用Comsol仿真不同声管厚度对声场的影响,分析了底面非均匀振动和不同尺寸的水听器对校准结果的影响,确定了合适的声管尺寸和测量方法。分别在常温与变温条件下对不同尺寸的水听器进行校准并将校准结果与标准值比较。结果表明,此系统在常温下的校准结果与标准值的偏差低于0.5 dB,变温条件下的测量结果与标准值偏差低于0.6 dB,整体系统的扩展不确定度约为1.0 dB。     

1–MCP结合EA对蓝靛果贮藏品质及活性氧代谢的影响

目的 探究不同处理对贮藏0~60 d期间蓝靛果实贮藏品质及活性氧(ROS)代谢的影响,为蓝靛果贮藏保鲜提供技术依据。方法 以蓝靛果为实验材料,采后将其装入保鲜箱中,用1−甲基环丙烯(1-MCP)、乙烯吸收剂(EA)、1-MCP+EA进行处理,在(−0.5±0.3)℃下贮藏60 d,每隔15 d取样观察果实的感官品质,并测定其营养、生理及活性氧代谢相关指标。结果 与对照组相比,3种处理方式均能保持果实较好的感官特性,延缓果实抗坏血酸、花色苷、总酚和黄酮等含量的流失,以及果实的软化;在贮藏60 d时,处理组果实的呼吸强度分别比对照组果实的呼吸强度低22.73、12.92、34.04 mg/(kg.h),乙烯生成速率分别比对照组果实的低6.38、3.98、10.11 μL/(kg.h);可抑制超氧阴离子(O2⁻.)活性、过氧化氢(H2O2)含量、丙二醛含量及相对电导率的升高,保持较高的超氧化物歧化酶(SOD)、过氧化氢酶(CAT)、过氧化物酶(POD)、抗坏血酸过氧化物酶(APX)活性。通过SPSS分析可知,综合得分顺序为CK＜EA＜1-MCP＜1-MCP+EA,表明1-MCP+EA处理的效果最好。结论 1-MCP+EA处理对蓝靛果贮藏60 d的保鲜效果最好,可更好地保留果实的外观和内在品质,利于运输和销售。     

Physics-Informed Multistage Machine Learning Strategy for the Nanomachining-Induced Plastic Deformation Behavior

The evolution of the dislocation density induced by the nanomachining process dominates the plastic deformation behaviors of materials, thus affecting the mechanical properties significantly. However, a challenging topic related to how to establish an accurate model for predicting the dislocation density based on the limited simulations and experiments arises due to the complicated thermal–mechanical coupling mechanism during the machining process. Herein, a multistage method integrating machine learning, physics, and high-throughput atomic simulation is proposed to investigate the effect of cutting speed on the dislocation behavior in polycrystal copper. Compared with the traditional one-step machine learning method, the constraint of physical features effectively improves the accuracy and generalization ability of the model. The results indicate that the dislocation behaviors depend on the competition between the cutting force and temperature. In the low-cutting speed, the predominated role of the cutting temperature leads to a rapid decline of the dislocation density. In contrast, the dislocation density tends to be stable under a high-speed cutting process due to the dynamic balance between the effects of the cutting force and temperature. Notably, the proposed strategy provides a new and universal framework to design the machining parameters to obtain high-quality products.