The miracle role of lattice imperfections in benzene alkylation with methanol over mordenite

Mordenite (MOR) has demonstrated potential as a catalyst for alkylation due to high variability, intrinsic porosity, and outstanding stability. However, the contact probability of benzene and methanol has been limited by typical layered structures of MOR and there is no connection between layers. Here, we report the preparedness of H-MOR via a sequential post-treatment method based on a commercial MOR. H-MOR sample had appeared lattice imperfections inferred from characterization means. The samples were tested with benezene methylation reaction. Results show that the high conversion of benzene and the high selectivity of toluene were obtained from the miracle role of lattice imperfections in the H-MOR sample. Sequentially, based on the study of all catalyst structure and physical properties, a plausible reaction mechanism for the selectivity of the desired toluene was proposed.     

A Pressure‐Induced Inverse Order–Disorder Transition in Double Perovskites

Given the consensus that pressure improves cation ordering in most of known materials, a discovery of pressure‐induced disordering could require recognition of an order–disorder transition in solid‐state physics/chemistry and geophysics. Double perovskites Y₂CoIrO₆ and Y₂CoRuO₆ polymorphs synthesized at 0, 6, and 15 GPa show B‐site ordering, partial ordering, and disordering, respectively, accompanied by lattice compression and crystal structure alteration from monoclinic to orthorhombic symmetry. Correspondingly, the long‐range ferrimagnetic ordering in the B‐site ordered samples are gradually overwhelmed by B‐site disorder. Theoretical calculations suggest that unusual unit‐cell compressions under external pressures unexpectedly stabilize the disordered phases of Y₂CoIrO₆ and Y₂CoRuO₆.     

Engineering lattice defects in 2D nanomaterials for enhancing biomedical performances

2D nanomaterials are widely investigated for biomedical applications, attributed to their large specific surface area, high therapeutic loading capacity, and unique optical, thermal, and/or electronic characteristics. Lattice defects affect the theranostic performance of 2D nanomaterials significantly by altering their electronic properties and chemical binding. Recent investigations have shown that defect-rich 2D nanomaterials are capable of enhancing tumor treatment through efficient drug delivery, photothermal and photodynamic therapies (PTT and PDT), and improving diagnostics via computed tomography (CT), photoacoustic and magnetic resonance imaging. This review summarizes recent progresses, including synthesis, characterization approach, and applications of defect-engineered 2D nanomaterials that are potentially useful in cancer treatment. The expert opinions are also proposed as the conclusion.     

COMPARISON OF ACCURACY AND PERFORMANCE FOR LATTICE BOLTZMANN AND FINITE DIFFERENCE SIMULATIONS OF STEADY VISCOUS FLOW

The lattice Boltzmann method (LBM) is used to simulate flow in an infinite periodic array of octagonal cylinders. Results are compared with those obtained by a finite difference (FD) simulation solved in terms of streamfunction and vorticity using an alternating direction implicit scheme. Computed velocity profiles are compared along lines common to both the lattice Boltzmann and finite difference grids. Along all such slices, both streamwise and transverse velocity predictions agree to within 0ċ5% of the average streamwise velocity. The local shear on the surface of the cylinders also compares well, with the only deviations occurring in the vicinity of the corners of the cylinders, where the slope of the shear is discontinuous. When a constant dimensionless relaxation time is maintained, LBM exhibits the same convergence behaviour as the FD algorithm, with the time step increasing as the square of the grid size. By adjusting the relaxation time such that a constant Mach number is achieved, the time step of LBM varies linearly with the grid size. The efficiency of LBM on the CM-5 parallel computer at the National Center for Supercomputing Applications (NCSA) is evaluated by examining each part of the algorithm. Overall, a speed of 13ċ9 GFLOPS is obtained using 512 processors for a domain size of 2176×2176.     

基于超短脉冲的癌细胞荧光光谱

研究用于癌症诊断与治疗的光敏剂血卟啉(hematoporphyrin derivative,HPD)的超快光动力学过程。采用超短脉冲激光光谱技术和皮秒时间相关单光子计数系统,测量经血卟啉培养的活体癌细胞与正常细胞的荧光光谱、荧光寿命特性及荧光峰值强度随时间的变化,观测到:癌细胞样品在645nm处具有特征发射光谱峰;癌细胞与正常细胞样品荧光寿命的快成分分别为150,300ps;癌细胞与正常细胞的荧光峰值强度经12h分别衰减10%和55%。对测量所得的荧光光谱曲线及时间分辨荧光衰减曲线分析,计算出:在癌细胞内部血卟啉浓度增大了约2个数量级;癌细胞与正常细胞的荧光寿命分别为824,1798ps;血卟啉在癌细胞与正常细胞样品中滞留时间分别为17,6d。测量结果确认了荧光光谱技术诊断与治疗癌症的可行性,并对发展超短脉冲激光光谱技术早期诊断与治疗癌症具有重要的指导意义和临床应用价值。     

贪婪格点路径的一些性质

设{Xv:v∈Zd}是一族独立同分布的随机变量序列,对Zd上的任意一路径π,定义S(π)=∑v∈πXv,记Mn=maxπ∈Π0(n)S(π),Π0(n)表示从原点出发大小为n的自不相交的路径的全体.论文讨论Mn的性质,得到了类似完全收敛性的结果,即对任意的ε>0,∑∞n=11nPMnn-M>ε<∞.另外还讨论了Xv允许取负值的情形,得到类似的结果,从而推广了Gandolfi和Kesten所研究的贪婪格点路径模型.     

基于第一性原理的单层WS2热输运特性研究

二维WS₂是一种层状过渡金属硫化物,因其具有特殊的层状结构、可调带隙及稳定的物理化学性质而备受关注。结合玻尔兹曼输运方程(BTE)和密度泛函理论(DFT),利用第一性原理研究了单层WS₂声子的输运特性,分析了声子的谐性效应和非谐性效应对WS₂晶格热导率的影响机理,计算了其声子的临界平均自由程,提出通过调整阻断频率的方法来调控WS₂的晶格热导率。研究结果表明：单层WS₂在300 K时的本征晶格热导率为149.12 W/(m·K),且随温度的升高而降低;从各声子支对总热导率的贡献来看,声学声子支起主要作用,特别是纵向声学(longitudinal acoustic, LA)声子支对单层WS₂热导率的贡献百分比最大(44.28%);单层WS₂声学声子支和光学声子支之间的较大带隙(声光学声子支之间无散射)导致其具有较高的晶格热导率。本文研究可为基于单层WS₂纳米电子器件的设计和改进提供借鉴和理论指导。     

微尺度下壁面粗糙度对面向导热影响研究

随着空间尺度的缩小,界面对导热的影响就会越来越明显。本文采用非平衡分子动力学模拟方法模拟了壁面的粗糙度对面向导热的影响,并给出微尺度下的粗糙度定义。在模拟中构造了不同的壁面粗糙度,得到了面向热导率随着壁面粗糙度增加而减小的结果。分析认为壁面的镜面反射率随着粗糙度增加而减小,而镜面反射率减小将导致热导率下降．