Physics-Informed Network Models: a Data Science Approach to Metal Design
Abstract
Functional graded materials (FGM) allow for reconciliation of conflicting design constraints at different locations in the material. This optimization requires a priori knowledge of how different architectural measures are interdependent and combine to control material performance. In this work, an aluminum FGM was used as a model system to present a new network modeling approach that captures the relationship between design parameters and allows an easy interpretation. The approach, in an un-biased manner, successfully captured the expected relationships and was capable of predicting the hardness as a function of composition.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Dec 01, 2017
- Source ID
- 10.1007/s40192-017-0104-5
Entities
People
- Amit K. Verma
- Jennifer Carter
- Roger H. French
Organizations
- United States Army Research Laboratory