Modeling of Nanocrystal Storage Cells

Abstract

The computer program is prepared for applying Montecarlo simulation and modeling for single-electron nanocrystal memories. The nanocrystal memory device of (5×5) quantum dots is used for studying the relationship between, geometrical dimensions, electrical characteristics and charging effects for single electron static programming characteristics. The nanocrystal inter-dot effects are included. All parameters got in the memory simulation programming are studied and discussed.

Protein‐Based Patterning to Spatially Functionalize Biomimetic Membranes

“…[45][46][47] Besides obtaining more experimental data, and thus revealing quantitative parameters behind the observed behavior, an insightful future approach would involve the integration of these input parameters in new computational tools. [48] In particular, the combination of physics-informed neural networks with numerical methods presents a promising future where machine learning could aid in accelerating the computationally costly steps in computer simulations, [49,50] thereby advancing the understanding of the fundamental principles behind reaction-diffusion systems and the prediction of patterns from given input parameters. [51,52]…”

Effects of square spatial periodic forcing on oscillatory hexagon patterns in coupled reaction–diffusion systems

“…26,27 At present, increasing attention has been paid to reaction diffusion systems where two or more instabilities appear spontaneously and interact with each other. [28][29][30] Two-layer coupled reaction-diffusion systems are good candidates for studying the interaction of different instabilities. Various complicated spatiotemporal patterns, such as oscillatory Turing patterns, spirals, superposition patterns, superlattices, and chaos, arise spontaneously from the interactions of Turing-Turing, Turing-Hopf, and Turing-wave instabilities.…”