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Constitutive artificial neural networks: A fast and general approach to predictive data-driven constitutive modeling by deep learning2020 Journal of Computational Physics article Materials Science Machine Learning in Materials Science Open access cited by 3 patents
Kevin Linka, Markus Hillgärtner, Kian P. Abdolazizi, Roland Can Aydin, Mikhail Itskov, Christian Johannes Cyron
341citations -
An accelerated approach for efficient development and scaling of new material technologies, combining flow synthesis with machine learning. Case study: Nanostructured ZnO for antibacterial coatings
Nicholas A. Jose, Mikhail Kovalev, Eric Christopher Bradford, Artur M. Schweidtmann, Hua Chun Zeng, Alexei A. Lapkin
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