System and method for decoding elemental compositions of multi-component alloys using density fingerprinting and an autopoietic e-phantom database

Abstract

The present invention discloses a Density Decoding System (DDS) (100) and associated methods for determining elemental percent compositions of multi-component alloys from their densities. The DDS (100) synergistically combines modified Archimedes density equations, computation of Probable Iso-density Compositions (PICs), identification of Concordant Compositions (CCs), mapping to an autopoietic e-Phantom database (170) containing Quantized Field of Compositions (QFCs) in a Vast Alloy Space (VAS), and iterative refinement (195) to determine the True Composition (TC) of unknown alloy (105). The system (100) comprises an input interface (130, 130a), a processing unit with mathematical (175), compiler (180), and analyzer (190) modules, and an output interface (230, 130a). The method involves receiving input density (120) and calibration parameters, computing PICs, compiling PIC series, identifying CCs, mapping to the e-Phantom database, iteratively refining (195) to determine the TC, and mining the database for new alloys.

Dependencies are inferred from the claim text.