Original language | English |
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Title of host publication | Materials Science and Technology 2018, MS and T 2018 |
Publisher | Association for Iron and Steel Technology, AISTECH |
Pages | 1-3 |
Number of pages | 3 |
ISBN (Electronic) | 0873397681, 9780873397681 |
DOIs | |
State | Published - 2018 |
Event | Materials Science and Technology 2018, MS and T 2018 - Columbus, United States Duration: Oct 14 2018 → Oct 18 2018 |
Publication series
Name | Materials Science and Technology 2018, MS and T 2018 |
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Conference
Conference | Materials Science and Technology 2018, MS and T 2018 |
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Country/Territory | United States |
City | Columbus |
Period | 10/14/18 → 10/18/18 |
Funding
This research was supported by the High-Performance Computing for Manufacturing Project Program (HPC4Mfg), managed by the U.S. Department of Energy Advanced Manufacturing Office within the Energy Efficiency and Renewable Energy Office. It was performed using resources of the Oak Ridge Leadership Computing Facility and Oak Ridge National Laboratory, which are supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC0500OR22725. Notice: This manuscript has been authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).
Keywords
- Dendrite growth
- Level set method
- Solidification