data driven

Three fully supported Ph.D. positions are open immediately in Advanced Hierarchical Materials by Design Labat the University of Alabama on multiscale modeling of materials and processes. The research directions are in the following fields:

1.     Additive Manufacturing (1 position): The goal of this project is to model the additive manufacturing process and to develop new alloys for additive manufacturing.

Developing an accurate nonlinear reduced order model from simulation data has been an outstanding research topic for many years. For many physical systems, data collection is very expensive and the optimal data distribution is not known in advance. Thus, maximizing the information gain remains a grand challenge. In a recent paper, Bhattacharjee and Matous (2016) proposed a manifold-based nonlinear reduced order model for multiscale problems in mechanics of materials. Expanding this work here, we develop a novel sampling strategy based on the physics/pattern-guided data distribution.