Response Surface Methodology (RSM)

Response surface methodology (RSM) explores the relationships between several explanatory variables and one or more response variables. The main idea of RSM is to obtain an optimal response using a sequence of designed experiments. This model is easy to estimate

Technology Computer-Aided Design (TCAD)

Technology Computer Aided Design (TCAD) is a branch of electronic design automation (EDA) that models semiconductor fabrication and semiconductor device operation. Modeling and Optimization for Semiconductor Processes and Devices Response surface methodology, metaheuristic search strategies, cooperative group optimization algorithms, and

Particle-Based Computational Methods

I.  Monte Carlo (MC) Method MC is a broad class of computational algorithms that rely on repeated random sampling to obtain numerical results. They are most useful when it is difficult or impossible to use other mathematical methods. Monte Carlo

Coarse-Grained (CG) Modeling

We developed and optimized implicit solvent coarse-grained (CG) model for both qualitative (with top-down modeling method) and quantitative simulations (with bottom-up modeling method). The use of implicit solvent enables simulations on large length- and time-scales with a computational speedup more