output
20142024
most citedPolyconvex anisotropic hyperelasticity with neural networks

238 citations

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5 papers · 1 filter

cond-mat.mtrl-sci2024★ 16 cited

A Spectral-based Physics-informed Finite Operator Learning for Prediction of Mechanical Behavior of Microstructures

Ali Harandi, Hooman Danesh, Kevin Linka +2

A novel physics-informed operator learning technique based on spectral methods is introduced to model the complex behavior of heterogeneous materials. The Lippmann-Schwinger operat…

cond-mat.mtrl-sci2021★ 238 cited

Polyconvex anisotropic hyperelasticity with neural networks

Dominik K. Klein, Mauricio Fernández, Robert J. Martin +2

In the present work, two machine learning based constitutive models for finite deformations are proposed. Using input convex neural networks, the models are hyperelastic, anisotrop…

cond-mat.mtrl-sci2018★ 52 cited

Strongly out-of-equilibrium columnar solidification during the Laser Powder-Bed Fusion additive manufacturing process

G. Boussinot, M. Apel, J. Zielinski +2

Laser-based additive manufacturing offers a promising route for 3D printing of metallic parts. We evidence experimentally a particular columnar solidification microstructure in a L…

cond-mat.mtrl-sci2017★ 26 cited

Grain coarsening in two-dimensional phase-field models with an orientation field

Balint Korbuly, Tamas Pusztai, Herve Henry +3

In the literature, contradictory results have been published regarding the form of the limiting (long-time) grain size distribution (LGSD) that characterizes the late stage grain c…

cond-mat.mtrl-sci2014★ 8 cited

Elimination of surface diffusion in the non-diagonal phase field model

G. Boussinot, Efim A. Brener, C. Hueter +1

We present a non-diagonal phase field model for phase transformations with unequal but finite diffusivities in the two phases. This model allows to recover the desired boundary con…