Materials Science and Technology, Vol. 36, No. 17 is now available

Papers in this issue consider neural networks and their application to steel metallurgy, mechanical alloying and spark plasma sintering as well as work on structure and properties.

This journal issue contains the following articles, which member can access without charge via the login page.
Advances in neural networks and potential for their application to steel metallurgy
J. L. Smith
Pages: 1805-1819
DOI: 10.1080/02670836.2020.1839206
Investigation into quasi-static and dynamic tensile mechanical properties of aluminium–scandium alloy
Chi-Feng Lin, Tao-Hsing Chen, Liren Tsai, Tsung-Han Hsieh, Wei-Chih Su & I.-Hsin Wang
Pages: 1820-1828
DOI: 10.1080/02670836.2020.1838709
Effect of crystal orientation on the size effects of nano-scale FCC metals
Mahdi Bagheripoor & Robert Klassen
Pages: 1829-1850
DOI: 10.1080/02670836.2020.1839193
Effect of carbon on microstructure and mechanical properties of Fe36Mn36Ni9Cr9Al10 high-entropy alloys
Li Bai, Yuzhe Wang, Yi Yan, Xiaoyang Li, Yukun Lv & Jian Chen
Pages: 1851-1860
DOI: 10.1080/02670836.2020.1839194
Mechanical alloying and spark plasma sintering of AlCrCuFeZn high entropy alloy
Kátia Regina Cardoso, Bruno da Silva Izaias, Leonardo de Souza Vieira & André Mello Bepe
Pages: 1861-1869
DOI: 10.1080/02670836.2020.1839195
Visualisation of diffusion sites and measurement of hydrogen traps in hot-rolled pipes
Alen Thomas & Jerzy A. Szpunar
Pages: 1870-1882
DOI: 10.1080/02670836.2020.1839205
Effect of carbon on the microstructure and element distribution in Ti42Al5Mn alloy
Hongjian Tang, Xiaobing Li, Weiwei Xing, Yingche Ma, Bo Chen, Kui Liu, Yuanhua Xia & Kun Lin
Pages: 1883-1892
DOI: 10.1080/02670836.2020.1845435