270 citations
- Northwestern UniversityUS8 papers
- Johns Hopkins UniversityUS4 papers
- National Aeronautics and Space AdministrationUS4 papers
- Ames Research CenterUS3 papers
- California Institute of TechnologyUS3 papers
- Cleveland State UniversityUS3 papers
- Cornell UniversityUS3 papers
- Georgia Institute of TechnologyUS3 papers
- Imperial College LondonGB3 papers
- Lawrence Berkeley National LaboratoryUS3 papers
- Ohio Aerospace InstituteUS3 papers
- Rutgers, The State University of New JerseyUS3 papers
Showing 2020Show all
2 papers · 1 filter
cond-mat.mtrl-sci2020
Physics-informed machine learning for composition-process-property alloy design: shape memory alloy demonstration
Sen Liu, Branden B. Kappes, Behnam Amin-ahmadi +3
Machine learning (ML) is shown to predict new alloys and their performances in a high dimensional, multiple-target-property design space that considers chemistry, multi-step proces…
cond-mat.mtrl-sci2020★ 135 cited
Accelerated design of Fe-based soft magnetic materials using machine learning and stochastic optimization
Yuhao Wang, Yefan Tian, Tanner Kirk +5
Machine learning was utilized to efficiently boost the development of soft magnetic materials. The design process includes building a database composed of published experimental re…