A new data-driven computational framework is developed to assist in the design and
modeling of new material systems and structures. The proposed framework integrates three …

Mechanical science and engineering can use machine learning. However, data sets have
remained relatively scarce; fortunately, known governing equations can supplement these …

To analyze complex, heterogeneous materials, a fast and accurate method is needed. This
means going beyond the classical finite element method, in a search for the ability to …

There are two critical components of connecting material and structural design in a
multiscale design process:(1) relate material processing parameters to the microstructure …

The discovery of efficient and accurate descriptions for the macroscopic behavior of
materials with complex microstructure is an outstanding challenge in mechanics of …

The recent decades have seen various attempts at accelerating the process of developing
materials targeted towards specific applications. The performance required for a particular …

Designing materials for targeted performance requirements as required in Integrated
Computational Materials Engineering (ICME) demands a combined strategy of bottom–up …

This paper presents a novel mathematical framework for building a comprehensive
materials knowledge system (MKS) to extract, store and recall hierarchical structure-property …

In the design and development of novel materials that have excellent mechanical properties,
classification and regression methods have been diversely used across mechanical …

Synthesis of hierarchical materials and products is an emerging systems design paradigm,
which includes multiscale (quantum to continuum level) material simulation and product …