Computational chemistry has been successfully applied to the investigations of various physico-chemical properties of materials in order to have a clear understanding at the electronic, atomic, and molecular levels. However, it has ineffectively contributed to the practical design of new materials and the pragmatic demand from the different industries, viz., electronics, automobile, battery and fuel cells, etc., is still unanswered mainly due to the limitations of suitable computational methodology and theory. On the other hand, the current progress of the computer hardware together with the development of novel software, it is now possible to have investigations of realistic complex systems. Thus, by integrating our newly developed computational methodologies with advancement of computational techniques, we realized holistic simulations of industrially important materials and processes. We have applied" our integrated computational chemistry programs to very many practically important areas of materials research. This approach will eventually lead to the industrial innovations by inspiring and promoting the design and development of new materials. In this review, we address some of the recent improvements and their applications of computational chemistry methodologies for the design and development of a variety of materials including catalysts, polymers, composite materials, and electrode materials for fuel cells as well as electrical, magnetic, optical and dielectric materials.
Z;Z;e CiC: Öl + a s -ft;1 J · <"· +b,)exp(-where , · is interatomic distance, f a a constant for unit adaptations for these terms. The first, the second and the third terms represent Coulomb, shortrange repulsions and van der Waals interaction terms, respectively. In general, the fourth term (the Morse function) is only employed for the covalent interactions between atoms. In NEW-RYUDO, the Verlet method is adopted for solving Newton equation of motion. During the simulation, the temperature and pressure are controlled by scaling velocities of atoms and cell volume. By using customizable functions implemented in NEW-RYUDO, we can simulate realistic complex systems under extreme conditions such as shear, electric field, irradiation, and so on.
Grand Canonical Monte Carlo Program -MONTAThe MONTA program /17-19/ is based on GCMC method implemented with various customizable functions together with basic functions available in usual GCMC programs. In MONTA, one of the four trials, i.e., insertion of 380 Brought to you by | University of Arizona Authenticated Download Date | 5/29/15 2:23 AM Brought to you by | University of Arizona Authenticated Download Date | 5/29/15 2:23 AM /1,2,34/ The GaN-based semiconductors are one of the most attractive materials for optoelectronic devices because of their applications to the blue/green, violet light-emitting and laser diodes /35-39A The development of highbrightness blue/green LEDs and the demonstration of room-temperature violet laser light emission in InGaN/GaN/AlGaN-based heterostructures under pul...