Crystal nucleation in metallic alloys using x-ray radiography and machine learning
- Submitting institution
-
University of Oxford
- Unit of assessment
- 12 - Engineering
- Output identifier
- 9609
- Type
- D - Journal article
- DOI
-
10.1126/sciadv.aar4004
- Title of journal
- Science Advances
- Article number
- eaar4004
- First page
- eaar4004
- Volume
- 4
- Issue
- 4
- ISSN
- 2375-2548
- Open access status
- Compliant
- Month of publication
- April
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
https://advances.sciencemag.org/content/advances/suppl/2018/04/09/4.4.eaar4004.DC1/aar4004_SM.pdf
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
5
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The first paper to report direct measurement of key crystallization parameters in a liquid metallic alloy and describe a new methodology to obtain such information in-situ, automatically and over a large number of conditions and experiments. The results were used to test well-accepted theories of nucleation and also unveil new insights of the way crystals form. The method is now the base for the analysis of more complex alloy systems and solidification problems.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -