Prediction of the grain size of Cd–Mn–S nanocrystalline structures

Artificial Neural Networks: Applications in Nanotechnology

“…The model was then suggested to be used in optimizing the sintering process for the particles. The effect of concentration of MnS on the nano-crystalline Cd 1−x Mn x S size ustilizing feedforward multilayer perceptron was reported by Jajarmi et al (Jajarmi and Valipour, 2009). The reports pointes out that the generated ANNs model can be considered as applicable method in predicting of the size of nano-crystalline nickel coatings.…”

Generating structural distributions of atomistic models of Li2O nanoparticles using simulated crystallisation

“…However, a key weakness of simulating synthesis, using for example, molecular dynamics (MD) are the short timescales accessible to MD, but these limitations are being surmounted using simulation strategies such as temperature assisted dynamics 21 and Monte Carlo 22 methods-and especially using combinations of simulation strategies. 21 In addition, innovative strategies such as genetic algorithms 23 and neural networks 24,25 have also been used to explore microstructure. Here, we use simulated crystallisation to generate an atomistic model of a nanostructure, which includes a variety of microstructural features.…”