CICT Phased Generator in Nanoscale EM and BEM Modeling for Stronger Bioengineering Simulation Solutions

In previous papers we introduced the computational information conservation theory (CICT) approach for the mathematical treatment of the spacetime splitting in nanoscale electromagnetic, bioelectromagnetic and arbitrary multiscale system modeling problems, to get more effective and reliable biophysical and biomedical engineering simulation solutions. In fact, traditional finite difference calculus and even more sophisticated and advanced algebraic approaches are unable to conserve overall system information. Unfortunately, misplaced precision leads to information opacity, fuzzyness, irreversibility, chaos, complexity and confusion. Eventually, our overview suggests us that to grasp a more reliable representation of experimental reality and to get stronger physical and biological system correlates, researchers and scientists need two intelligently articulated hands: both stochastic and combinatorial approaches synergistically articulated by natural coupling. To achieve this result, in present paper, we show a pre-spatial geometro-arithmetic scheme defining outer or extrinsic phased generator and related inner or intrinsic phased generators to minimize the traditional multiscale statistic modeling veil opacity.