Modelling of hysteresis loop and magnetic behaviour of Fe-48Ni alloys using artificial neural network coupled with genetic algorithm

Implementation of multilayer perceptron network with highly uniform passive memristive crossbar circuits

F. Merrikh Bayat, M. Prezioso, Bhaswar Chakrabarti et al. · Nature Communications · 2018 · 375 citations · Full text

Engineering, Computer Engineering, Electrical Engineering +17

Improving direct physical properties prediction of heterogeneous materials from imaging data via convolutional neural network and a morphology-aware generative model

Ruijin Cang, Hechao Li, Yang Jiao et al. · Computational Materials Science · 2018 · 212 citations

Computing, Computer Science, Materials Science +17

An efficient machine learning approach to establish structure-property linkages

Jaimyun Jung, Jae Ik Yoon, Hyung Keun Park et al. · Computational Materials Science · 2018 · 93 citations

Natural Sciences, Computer Science, Materials Science +7

Designing dual-phase steels with improved performance using ANN and GA in tandem

Tanusree Dutta, Swati Dey, Shubhabrata Datta et al. · Computational Materials Science · 2018 · 58 citations

Engineering, Materials Engineering, Materials Science +12

PREDICTION OF MARTENSITE FRACTION OF MICROALLOYED STEEL BY ARTIFICIAL NEURAL NETWORKS

Gholamreza Khalaj, Ali Nazari, Hesam Pouraliakbar · Neural Network World · 2013 · 46 citations

Engineering, Materials Engineering, Materials Science +17