Optoelectronic Devices have obtained great interests for many decades. With the development of technology and in-depth research, the devices are scaled down rapidly, reaching sub-millimeter or even nanometer scale, and resulting in various new features. In recent years, a so called Self-Switching Device (SSD) which has diode-like I-V characteristics has attracted more and more attentions. Using Monte Carlo method, we have studied the electron transport in the self-switching device. Simulation results show that when the device size is smaller than the mean free path of electrons, the electron velocity is very different from that of larger device. The electron velocity and the energy become faster and higher, respectively. The reason of this phenomenon is explained by ballistic transport of electrons in the small size device. Since ballistic transport plays an important role in determining the behavior of electrons in small size device, it is need to be included in nanometer scale device modeling.
The article has considered the calculation of the unified glare rating (UGR) based on the luminance spatial-angular distribution (LSAD). The method of local estimations of the Monte Carlo method is proposed as a method for modeling LSAD. On the basis of LSAD, it becomes possible to evaluate the quality of lighting by many criteria, including the generally accepted UGR. UGR allows preliminary assessment of the level of comfort for performing a visual task in a lighting system. A new method of "pixel-by-pixel" calculation of UGR based on LSAD is proposed.
The article is a continuation of the software research to perform probabilistic seismic hazard analysis (PSHA) as one of the main stages in engineering seismic surveys. The article provides an overview of modern software for PSHA based on the Monte Carlo method, describes in detail the work of foreign programs OpenQuake Engine and EqHaz. A test calculation of seismic hazard was carried out to compare the functionality of domestic and foreign software.
Prediction of physicochemical and biochemical behavior of peptides is an important and attractive
task of the modern natural sciences, since these substances have a key role in life processes. The
Monte Carlo technique is a possible way to solve the above task. The Monte Carlo method is a tool with
different applications relative to the study of peptides: (i) analysis of the 3D configurations (conformers);
(ii) establishment of quantitative structure – property / activity relationships (QSPRs/QSARs); and (iii)
development of databases on the biopolymers. Current ideas related to application of the Monte Carlo
technique for studying peptides and biopolymers have been discussed in this review.
Simulation of the effect of polarization Coulomb field scattering on device linearity in AlGaN/GaN heterostructure field effect transistors using the Monte Carlo method