Additively manufactured materials and structures: A state-of-the-art review on their mechanical characteristics and energy absorption
Lightweight materials and structures have been extensively studied for a wide range of
applications in design and manufacturing of more environment-friendly and more …
applications in design and manufacturing of more environment-friendly and more …
Finite electro-elasticity with physics-augmented neural networks
In the present work, a machine learning based constitutive model for electro-mechanically
coupled material behavior at finite deformations is proposed. Using different sets of …
coupled material behavior at finite deformations is proposed. Using different sets of …
[HTML][HTML] Viscoelastic constitutive artificial neural networks (vCANNs)–A framework for data-driven anisotropic nonlinear finite viscoelasticity
The constitutive behavior of polymeric materials is often modeled by finite linear viscoelastic
(FLV) or quasi-linear viscoelastic (QLV) models. These popular models are simplifications …
(FLV) or quasi-linear viscoelastic (QLV) models. These popular models are simplifications …
Physics‐constrained symbolic model discovery for polyconvex incompressible hyperelastic materials
We present a machine learning framework capable of consistently inferring mathematical
expressions of hyperelastic energy functionals for incompressible materials from sparse …
expressions of hyperelastic energy functionals for incompressible materials from sparse …
[HTML][HTML] Physics-augmented neural networks for constitutive modeling of hyperelastic geometrically exact beams
JO Schommartz, DK Klein, JCA Cobo… - Computer Methods in …, 2025 - Elsevier
We present neural network-based constitutive models for hyperelastic geometrically exact
beams. The proposed models are physics-augmented, ie, formulated to fulfill important …
beams. The proposed models are physics-augmented, ie, formulated to fulfill important …
[HTML][HTML] Mechanistically informed artificial neural network model for discovering anisotropic path-dependent plasticity of metals
X Liu, J He, S Huang - Materials & Design, 2023 - Elsevier
The plasticity of metals involves various complicated phenomena that have not been fully
discovered or explained by existing theories. The data-driven method provides a new …
discovered or explained by existing theories. The data-driven method provides a new …