An efficient machine learning-based model for predicting the stress-strain relationships of thermoplastic polymers with limited testing data

A statistical approach to some basic mine valuation problems on the Witwatersrand

D.G. Krige · Journal of the Southern African Institute of Mining and Metallurgy · 1951 · 2.4K citations

Engineering, Mining Engineering, Natural Resource Economics +15

Past, present and future prospective of global carbon fibre composite developments and applications

Jin Zhang, Gang Lin, Uday Vaidya et al. · Composites Part B Engineering · 2022 · 906 citations

Natural Sciences, Materials Engineering, Materials Science +14

Knowledge‐Based Modeling of Material Behavior with Neural Networks

J. Ghaboussi, James H. Garrett, Xiaomin Wu · Journal of Engineering Mechanics · 1991 · 770 citations

Computing, Materials Engineering, Materials Science +17

The use of a mathematical model to describe isothermal stress-strain curves in glassy thermoplastics

R. N. Haward, G. Thackray · Proceedings of the Royal Society of London A Mathematical and Physical Sciences · 1968 · 640 citations

Natural Sciences, Materials Engineering, Materials Science +17

The effect of entanglements in rubber elasticity

S. F. Edwards, Th. Vilgis · Polymer · 1986 · 449 citations

Natural Sciences, Materials Science, Physics +12