Relaxor-like dielectric behavior and its effect on energy storage performance in P(TFE-HFP-VDF) terpolymers

Capacitors are critical components in many advanced electronic and electrical systems,such as pulse power systems,due to their fast charging-discharging speed and high power density[1-4].The ever-increasing demand for compact energy storage devices requires the dielectrics,which are the energy storage materials in capacitors,to have a higher energy density and low dielectric loss[2,3].Furthermore,a stable high-temperature performance is another important parameter to be considered for some applications in which high-temperature conditions are present,such as hybrid vehicles[4-7].     

Optimization and effect of wall conduction on natural convection in a cavity with constant temperature heat source: Using lattice Boltzmann method and neural network algorithm

Journal of Thermal Analysis and Calorimetry - In this paper, the natural convection (NC) of the Al2O3–H2O nanofluids (NFs) in a cavity with a heat source in its center is numerically...     

Synthesis and electrochemical performance of poly(vinylidene fluoride)/SiO2 hybrid membrane for lithium-ion batteries

Journal of Solid State Electrochemistry - In this work, a series of rationally designed hybrid membranes composed of poly(vinylidene fluoride) (PVDF) as polymer matrix and silica nanoparticles...     

Chiral P,N‐ligands for the highly enantioselective addition of diethylzinc to aromatic aldehydes

A new sterically hindered chiral P,N‐ligand was synthesized and successfully applied to copper catalyzed asymmetric addition of diethylzinc to aromatic aldehydes. Various aromatic aldehydes can react smoothly to give the corresponding addition products with good to excellent enantioselectivities, which provides a readily accessible method for the preparation of chiral secondary alcohols.     

Using artificial neural networks to predict the rheological behavior of non-Newtonian graphene–ethylene glycol nanofluid

Journal of Thermal Analysis and Calorimetry - The ability of the artificial neural network (ANN) to predict the viscosity of graphene nanosheet/ethylene glycol ( $$\mu_{{\text{Gr/EG}}}$$ ) was...     

三出口萃取工艺静态平衡研究

三出口萃取工艺是在普通分馏萃取工艺中间级增开一个出口使之同时分离三个组份。采用这一工艺可大大简化多元体系分离流程,提高经济效益。本文根据恒定总萃取比体系的本出口萃取工艺中各组份的静态物料平衡,推导出四种三出口萃取工艺的极值公式。通过计算机静态模拟计算确定了Gd/Tb/Dy三出口萃取工艺参数,并通过试验验证了计算结果。     

A partition identity on binomial coefficients and its applications

By means of formal power series technique, a binomial identity concerning two independent variables is presented which includes the most known partition identities as its very special cases.