Advanced materials with heterogeneous microstructure attract extensive interest of researchers and engineers due to combination of unique properties and ability to create materials that are most suitable for each specific application.
Various neural networks have been so far proposed, and they attracted extensive interest of researchers from various fields, since they play important roles and have found successful applications in the fields such as pattern recognition, signal and image processing, nonlinear optimization problems, parallel computation, and other engineering areas; see, for example, [1 8].
The ability to synthesize patterned arrays in a controllable fashion is of extensive interest for nanotechnology.
Design and synthesis of nucleoside analogues have persistently attracted extensive interest because of their potential application in the field of antiviral therapy, and its study also receives additional impetus for improvement in the ProTide technology.
Recently, the discovery of mesoporous materials has stimulated extensive interest because of their wider applications in catalysis, separation and adsorption due to their high specific surface area, uniform pore size distribution and large pore size.
TiO2-based photocatalysis has attracted extensive interest because of its great advantages in the complete mineralization of organic pollutants in waste water and air [ 64, 65].
The use of UCNPs for gas molecules sensing has attracted extensive interest because of their outstanding properties.
In recent years, graphene (Gr) based solar cells have attracted extensive interest because of their ability to produce low cost and highly efficient solar cells.
Organic inorganic hybrid nanocomposites are a new category of high-performance materials which is currently an area that has received extensive interests for other matrix of polyimide (PI -SiO2[10, 11], PI -SiO2[10], and PI-TiO2[11]15]; these composites have been successfully synthesized.
Along with neural dynamics (based on analog solvers) widely arising in scientific computation and optimization fields in recent decades which attracts extensive interest and investigation of researchers, a novel type of neural dynamics, called Zhang dynamics (ZD), has been formally proposed by Zhang et al. for the online solution of time-varying problems.
Recently, milk proteins have attracted extensive interest in terms of their bioavailability following ingestion.
