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- Sandia National LaboratoriesUS256 papers
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Showing 2022 · cond-mat.mtrl-sciShow all
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cond-mat.mtrl-sci2022★ 65 cited
Learning hyperelastic anisotropy from data via a tensor basis neural network
Jan N. Fuhg, Nikolaos Bouklas, Reese E. Jones
Anisotropy in the mechanical response of materials with microstructure is common and yet is difficult to assess and model. To construct accurate response models given only stress-s…
cond-mat.mtrl-sci2022★ 15 cited
Atomistic simulations of magnetoelastic effects on sound velocity
P. Nieves, J. Tranchida, S. Nikolov +2
In this work, we leverage atomistic spin-lattice simulations to examine how magnetic interactions impact the propagation of sound waves through a ferromagnetic material. To achieve…