Machine-Learning Microstructures 9CrSteel data in brief
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OSTI Info
| Field | Value |
|---|---|
| Id | f299cb06-392c-44dc-ad30-25a4a68d204f |
| Dataset Type | IP |
| Contract Nos | 89243318CFE000003 |
| Org Research Org | ARC |
| Language | English |
| Country | US |
| Sponsor Org | USDOE Office of Fossil Energy (FE) |
| Site Url | https://edx.netl.doe.gov/dataset/machine-learning-microstructures-9crsteel-data-in-brief |
| Contact Name | Kyle Rozman |
| Contact Org | National Energy Technology Laboratory |
| Doi | 10.18141/1843846 |
Additional Info
| Field | Value |
|---|---|
| Last Updated | March 24, 2022, 03:57 (LMT) |
| Created | February 7, 2022, 23:45 (LMT) |
| Citation | Zongrui Pei, Kyle A. Rozman, mer N. Doan, Youhai Wen, Nan Gao, Elzabeth A. Holm, Jeffery A. Hawk, David E. Alman, Michael C. Gao, Machine-Learning Microstructure for Inverse Material Design, Advanced Science, Vol 8, Issue 23, 2021, https://doi.org/10.1002/advs.202101207, DOI: 10.18141/1843846 |
| Netl Product | yes |
| Osti | yes |
| Poc Email | michael.gao@netl.doe.gov |
| Point Of Contact | Michael Gao |
| Program Or Project | RIC |
| Project Number | 89243318CFE000003 |