Machine Learning Neural-Network Predictions for Grain-Boundary Strain Accumulation in a Polycrystalline Metal
Author:
Funder
Nuclear Energy University Program
Publisher
Springer Science and Business Media LLC
Subject
Mechanical Engineering,Mechanics of Materials,Aerospace Engineering
Link
https://link.springer.com/content/pdf/10.1007/s11340-020-00687-1.pdf
Reference36 articles.
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2. Petch NJ (1953) The cleavage strength of polycrystals. J Iron Steel Inst 174:25–28
3. Hall E (1951) The deformation and aging of mild steel:III. Discussion of results. Proc Phys Soc Lond 38(10):747–753
4. Sutton AP, Balluffi RW (2006) Interfaces in crystalline materials. Oxford University Press, Oxford
5. Lee TC, Robertson IM, Birnbaum H (1989) Prediction of slip transfer mechanisms across grain boundaries. Scr Metall 23(5):799
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