General Multi-Fidelity Framework for Training Artificial Neural Networks With Computational Models

CA method with machine learning for simulating the grain and pore growth of aluminum alloys

(2018) Yuanyuan Hu et al.   COMPUTATIONAL MATERIALS SCIENCE

Deep learning approaches for mining structure-property linkages in high contrast composites from simulation datasets

(2018) Zijiang Yang et al.   COMPUTATIONAL MATERIALS SCIENCE

Mastering the game of Go without human knowledge

(2017) David Silver et al.   NATURE

Mastering the game of Go with deep neural networks and tree search

(2016) David Silver et al.   NATURE

Data-driven prognostic method based on Bayesian approaches for direct remaining useful life prediction

(2014) A. Mosallam et al.   JOURNAL OF INTELLIGENT MANUFACTURING

A few useful things to know about machine learning

(2012) Pedro Domingos   COMMUNICATIONS OF THE ACM