Machine learning materials physics: Multi-resolution neural networks learn the free energy and nonlinear elastic response of evolving microstructures

ImageNet classification with deep convolutional neural networks

Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton · Communications of the ACM · 2017 · 75.7K citations · Full text

Computing, Computer Science, Computer Vision +12

A Survey on Transfer Learning

Sinno Jialin Pan, Qiang Yang · IEEE Transactions on Knowledge and Data Engineering · 2009 · 23.2K citations

Computing, Computer Science, Data Mining +12

Discovering governing equations from data by sparse identification of nonlinear dynamical systems

Steven L. Brunton, Joshua L. Proctor, J. Nathan Kutz · Proceedings of the National Academy of Sciences · 2016 · 4.5K citations · Full text

Natural Sciences, Computer Science, Physics +17

Machine learning in materials informatics: recent applications and prospects

Rampi Ramprasad, Rohit Batra, Ghanshyam Pilania et al. · npj Computational Materials · 2017 · 1.8K citations · Full text

Natural Sciences, Materials Engineering, Materials Science +17

A general-purpose machine learning framework for predicting properties of inorganic materials

Logan Ward, Ankit Agrawal, Alok Choudhary et al. · npj Computational Materials · 2016 · 1.7K citations · Full text

Natural Sciences, Materials Engineering, Materials Science +16