Combinatorial approaches as effective tools in the study of phase diagrams and composition-structure-property relationships
By Ji-Cheng Zhao. 2006
225 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/e835f3f4bed97933b1872cb206a62e62c94cafb4
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
- Daniel B. Miracle
- Oleg N. Senkov
- Jonathan D. Miller
- Christopher Woodward
- Michael D. Uchic
- Jaimie Tiley
- W. A. Curtin
- M. Calvo-Dahlborg
In Mechanical Engineering
- Daniel B. Miracle
- Oleg N. Senkov
- Christopher Woodward
- Jonathan D. Miller
- Michael D. Uchic
- Jaimie Tiley
- J. Couzinié
- K. Chaput
Citations in the corpus
- Applications of high throughput (combinatorial) methodologies to electronic, magnetic, optical, and energy-related materials (2013, unknown): “Bulk high-throughput efforts such as diffusion multiples (Zhao, 2006) and directed laser deposition (Collins, 2004) have also been successfully implemented to map structural phases in composition gradient samples.”
- Critical Assessment 14: High entropy alloys and their development as structural materials (2015, background): “2 elements interdiffuse simultaneously) can accelerate data acquisition for kinetics and phase equilibria.(29) However, several key properties are not yet sufficiently parallelised.”
- Exploration and Development of High Entropy Alloys for Structural Applications (2014, methodology): “number of established techniques, including instrumented nano-indentation [67].”