Search for: All records

Award ID contains: 2047218

« Prev Next »

Total Resources

3

Resource Type
Conference Paper

0

Conference Proceeding

0

Dataset

0

Journal Article

3

Workshop Report

0

Availability
Full Text / Resource Available

2

Citation Only

1

Save Results
Excel (limit 2000)
CSV (limit 5000)
XML (limit 5000)

Have feedback or suggestions for a way to improve these results?
!

Note: When clicking on a Digital Object Identifier (DOI) number, you will be taken to an external site maintained by the publisher. Some full text articles may not yet be available without a charge during the embargo (administrative interval).
What is a DOI Number?

Some links on this page may take you to non-federal websites. Their policies may differ from this site.

Exploring Alloy Design Pathway Through Directed Energy Deposition of Powder Mixtures: A Study of Stainless Steel 316L and Inconel 718

https://doi.org/10.1016/j.addlet.2023.100133

Sargent, Noah ; Wang, Yuankang ; Li, Daozheng ; Zhao, Yunhao ; Wang, Xin ; Xiong, Wei ( July 2023 , Additive Manufacturing Letters)

Free, publicly-accessible full text available July 1, 2024
Design metastability in high-entropy alloys by tailoring unstable fault energies

https://doi.org/10.1126/sciadv.abo7333

Wang, Xin ; De Vecchis, Rafael Rodriguez ; Li, Chenyang ; Zhang, Hanlei ; Hu, Xiaobing ; Sridar, Soumya ; Wang, Yuankang ; Chen, Wei ; Xiong, Wei ( September 2022 , Science Advances)

An effective paradigm is proposed to design strong and ductile alloys using unstable fault energies.
more » « less
Full Text Available
Additive manufacturing as a tool for high-throughput experimentation

https://doi.org/10.20517/jmi.2022.19

Xiong, Wei ( January 2022 , Journal of Materials Informatics)

Additive manufacturing (AM) is a disruptive technology with a unique capability in fabricating parts with complex geometry and fixing broken supply chains. However, many AM techniques are complicated with their processing features due to complex heating and cooling cycles with the melting of feedstock materials. Therefore, it is quite challenging to directly apply the materials design and processing optimization method used for conventional manufacturing to AM techniques. In this viewpoint paper, we discuss some of the ongoing efforts of high-throughput (HT) experimentation, which can be used for materials development and processing design. Particularly, we focus on the beam- and powder-based AM techniques since these methods have demonstrated success in HT experimentation. In addition, we propose new opportunities to apply AM techniques as the materials informatic tools contributing to materials genome.
more » « less
Full Text Available