Integrating CAx with the Chemical Synthesis for Chemical Printer Architecting in Additive Manufacturing with Logic in Materials

Abstract

Abstract This study proposal presents a hybrid and gradual method for biologic artificialization, engineering its fundamental structure with 3D printing, conferring incremental intelligence on its superficial and deep areas for its control to classify and mimic genetic events over organic or hybrid materials. Thus, functionalized computational blocks to be used as a mechanical computer, driving materials through its most fundamental state material as computing. The route for this research is the mechanical synthesis of material computation architecture drives through quantum control in their fundamental structure using particle computational logic integration to drive molecular structures. This research aims to include the precision techniques of mechanical engineering in the biosciences, i.e., metrology and anthropometry through biometrology, to measure genetic particle components to obtain patterns, through quantum digitization to generate complex mechanical, chemical, and hybrid syntheses in the state-of-the-art for biological circuit process control. It was concluded that cutting-edge CAx intelligence for material sciences can use chemical synthesis artificially for computerizing materials for additive manufacturing.