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Quantitative prediction of Al and learning grain boundary c..:
Tamboli, Rameez R.
;
Dudala, Srinivas
;
Andersen, Dustin
...
Scripta Materialia. 219 (2022) - p. 114858 , 2022
Link:
https://doi.org/10.1016/j.scriptamat.2022.114858
RT Journal T1
Quantitative prediction of Al and learning grain boundary character in Al-rich interstitial free steel
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.scriptamat.2022.114858&Exemplar=1&LAN=DE A1 Tamboli, Rameez R. A1 Dudala, Srinivas A1 Andersen, Dustin A1 Valle, Nathalie A1 Eswara, Santhana A1 Korla, Rajesh A1 Fujiwara, Hiroshi A1 Guennec, Benjamin A1 Ameyama, Kei A1 Bhattacharya, Basudev A1 Dey, Suhash Ranjan PB Elsevier BV YR 2022 SN 1359-6462 JF Scripta Materialia VO 219 SP 114858 LK http://dx.doi.org/https://doi.org/10.1016/j.scriptamat.2022.114858 DO https://doi.org/10.1016/j.scriptamat.2022.114858 SF ELIB - SuUB Bremen
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