article Open AccessTop 1% cited
An energy approach to the solution of partial differential equations in computational mechanics via machine learning: Concepts, implementation and applications
Computer Methods in Applied Mechanics and Engineering · 2020 · Vol. 362 · pp. 112790–112790
Esteban Samaniego(University of Cuenca)Cosmin Anitescu(Bauhaus-Universität Weimar)Somdatta Goswami(Bauhaus-Universität Weimar)Vien Minh Nguyen‐Thanh(Leibniz University Hannover)Hongwei Guo(Leibniz University Hannover)Khader M. Hamdia(Leibniz University Hannover)Xiaoying Zhuang(Leibniz University Hannover)Timon Rabczuk✉(Ton Duc Thang University)
Model Reduction and Neural NetworksAdvanced Numerical Analysis TechniquesNumerical methods in engineeringPartial differential equationDiscretizationComputer scienceFinite element methodComputational mechanicsCollocation (remote sensing)Function (biology)Mathematical optimizationFlexibility (engineering)Applied mathematics
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