Work

Uncertainty quantification of metallic microstructures using principal image moments

Year: 2022

Type: article

Source: Computational Materials Science

DOI: 10.1016/j.commatsci.2022.111775

Authors: Arulmurugan Senthilnathan, Iman Javaheri, Hengduo Zhao, Veera Sundararaghavan, Marc DeGraef, Pınar Acar

Institutions: Virginia Tech, Langley Research Center, University of Michigan, Carnegie Mellon University

Language: English

Topic: Probabilistic and Robust Engineering Design

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

Open Access status: closed

OpenAlex ID: W4297026119

FWCI: 1.053

Cites: 73

Cited by: 8

Related to: 10