表面活性剂对树形银纳米结构影响的蒙特-卡洛模拟

采用偏压受限扩散聚集模型研究溶液中银树形纳米结构的生长。模拟中,在二维正方形格子中引入了等腰直角三角形粒子进行模拟,同时运用不同的粘贴概率来描述表面活性剂的效果。模拟结果表明树形纳米结构随着偏压的增大而变得更密。表面活性剂的加入使得树形纳米结构变得更加对称和规则。更进一步,当表面活性剂的效果足够强且外加偏压很小的时候,银纳米颗粒聚集成了银纳米片。模拟结果有利于定性解释相关的实验结果。     

Monte Carlo simulation of asymmetrical growth of cube-shaped nanoparticles

We simulated the asymmetrical growth of cube-shaped nanoparticles by applying the Monte Carlo method.The influence of the specific mechanisms on the crystal growth of nanoparticles has been phenomenologically described by efficient growth possibilities along different directions(or crystal faces).The roles of the thermodynamic and kinetic factors have been evaluated in three phenomenological models.The simulation results would benefit the understanding about the cause and manner of the asymmetrical growth of nanoparticles.     

Performance of thermoelectric generator with graphene nanofluid cooling

Improvement of the heat transfer of the cold side is one of the approaches to enhance the performance of TEG systems.As a new type of heat transfer media, nanofluids can enhance the heat transfer performance of working liquid significantly.Based on a three-dimensional and steady-state numerical model,the heat transfer and thermoelectric conversion properties of TEG systems were studied. Graphene anoplatelet aqueous nanofluids were used as the coolants for the cold side of the TEG system to improve the heat transfer capacity of the cold side. The results showed that the heat absorbed by the hot side, voltage, output power, and conversion efficiency of the TEG system were increased greatly by the nanofluid coolants.The output power and the conversion efficiency using 0.1-wt% graphene nanoplatelet aqueous nanofluid as the coolant are enhanced by 26.39% and 14.74%, respectively.