Material Properties Predictions Using Data-Driven Technology

Author:

Gautham M. Tathagata,Kumar Deepak

Publisher

Springer Nature Singapore

Reference6 articles.

1. Koprinkova-Hristova P, Tontchev N, Popova S (2011) Neural networks approach to optimization of steel alloys composition. In: Engineering Applications of Neural Networks: 12th INNS EANN-SIG International Conference, EANN 2011 and 7th IFIP WG 12.5 International Conference, AIAI 2011, Corfu, Greece, September 15–18, 2011, Proceedings Part I. Springer, Berlin Heidelberg

2. Rashid MS (1980) High-strength, low-alloy steels. Science 208(4446):862–869

3. Xiong J, Zhang TY, Shi SQ (2020) Machine learning of mechanical properties of steels. Sci China Technol Sci 63(7):1247–1255

4. Haque ME, Sudhakar KV (2002) ANN back-propagation prediction model for fracture toughness in microalloy steel. Int J Fatigue 24(9):1003–1010

5. Ramprasad R et al (2017) Machine learning in materials informatics: recent applications and prospects. NPJ Comput Mater 3(1):54

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