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This work combines chemoinformatics and theoretical chemistry methodologies utilizing the currently available computational power.
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Figure 13 Overview of the system-level simulation methodology, utilizing the proposed fading parameter structure.
Section 6 demonstrates the validation of the power estimation methodology utilizing the developed power consumption model.
We here describe an in silico, pocket-based drug discovery methodology utilizing the crystal structure of the Ku70/80 heterodimer.
A multi-objective methodology utilizing the Strength Pareto Evolutionary Algorithm (SPEA2) linked to EPANET for trading-off pumping costs, water quality, and tanks sizing of water distribution systems is developed and demonstrated.
The numerical methodology utilizes the ANSYS® CFX software.
The proposed methodology utilizes the design relationship between KPCs and KCCs to determine process functional adjustments.
The methodology utilizes the relationship between the stiffness loss and the fractional changes of the modal parameters due to damage.
The methodology utilizes the sensitivity relationship between the natural frequencies, the structural parameters, and the tensile force in the member.
The methodology utilizes the Advanced Compact MOSFET (ACM) model and the gm characteristic as function of the NMOS transistor drain current ID.
The simplified statistical methodology utilizes the system moment method combined with a deterministic approach for calculating a maximum variance of rod internal pressure.
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