# Similarity Measuring Approuch for Engineering Materials Selection

**Authors:**  Doreswamy, M. N. Vanajakshi  
**arXiv:** [1301.0176](https://arxiv.org/abs/1301.0176)  
**Date:** 2013-01-02  
**Summary page:** https://www.summarizepaper.com/en/paper/1301.0176v1/

## Key points

- Exploring massive multidimensional feature spaces
- Correlating materials properties with processing parameters
- Searching for alternative materials or processing property strategies
- Recent advances in data mining enable new possibilities for materials informatics
- Proposed similarity-based model offers a sustainable solution for decision making in advanced engineering materials design applications
- Trend analysis, classifications, and predictions aid decision-making processes related to advanced engineering materials design
- Contributes to state-of-the-art research in computational and experimental approaches for materials discovery

## Summary

The paper titled "Similarity Measuring Approach for Engineering Materials Selection" by Doreswamy and M. N. Vanajakshi explores the field of advanced engineering materials design. The authors highlight the challenges involved in this process, which include exploring massive multidimensional feature spaces, correlating materials properties with processing parameters, and searching for alternative materials or processing property strategies. Recent advances in data mining have enabled new possibilities for materials informatics that can be used to effectively select engineering materials based on their properties and processing parameters. The proposed similarity-based model offers a sustainable solution for decision making in advanced engineering materials design applications. By analyzing trends in data, classifications and predictions can be made to aid in decision-making processes related to advanced engineering materials design. Overall, this paper contributes to the state-of-the-art research in computational and experimental approaches for materials discovery.