The initial progress towards the design and development of a framework for automating the process of integrating experimental data with stakeholder specifications describing usability requirements, along with multiscale models for tailoring material and structural behavior characteristics is reported in the present paper. The proposed framework consists of a layered architecture that is comprised of three main layers. The first layer involves the computational infrastructure that implements the low level computational container that encompasses the computational codes that enable the modeling of the forward problem for various physical problems at specific time and length scales. The second layer of the framework implements the cascaded and hierarchical implementation of the inverse problem in terms of a composition of discrete event system and differential equation system specifications. The third element of the proposed architecture utilizes Category theory abstractions and their computational implementations to provide the necessary infrastructure for automating the process of developing synthetic specifications driven from experimental data and performance requirements related to the design and use of material and structural systems.

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