Currently, the self-assembly method is widely used to fabricate highly large-scale-ordered two-dimensional noble metal particle films (Au or Ag) consisting of metal nanoparticles such as nanosphere, nanorod, nanocube, and nanotriangular on ITO/glass or Si substrates [22 26].
Hence, to our knowledge, ChaNGa is the first code to explicitly tackle both the uniform and highly clustered simulations with extremely large scaling.
To efficiently solve such a highly constrained, large scale MINLP model, we develop an approach based on an artificial bee colony (ABC) algorithm.
The ORS optimization is a highly nonlinear and large scale problem.
Thus our proposed system is highly attractive for large scale energy applications.
The new network paradigm also brings unprecedent challenges on managing a highly dynamic and large scale SDN network.
Keeping URIs concise and human readable is highly recommended for large scale and/or frequent processing of RDF data as well as for efficient indexing and serialization.
This proposed technique can be highly useful in large scale decision-making problems as often found in aeronautic and automotive industries.
This enables a more uniform weight distribution from point of view of mobile and other platform mounted systems, which is highly relevant for large scale systems.
The rapid access to intrinsic physicochemical properties of molecules is highly desired for large scale chemical data mining explorations such as mass spectrum prediction in metabolomics, toxicity risk assessment and drug discovery.
Although this approach is highly suitable to large scale studies in less developed countries, we would not recommend this concentration of EDTA to be used in further studies at our Zambian site.
