Image de couverture de livre

Consistent machine learning for topology optimization with microstructure-dependent neural network material models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Vijayakumaran, Harikrishnan, Russ, Jonathan B., Paulino, Glaucio H., Bessa, Miguel A.
Format:	Preprint
Publié:	2024
Sujets:	Materials Science Machine Learning Numerical Analysis
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Physically recurrent neural network for rate and path-dependent heterogeneous materials in a finite strain framework
par: Maia, M. A., et autres
Publié: (2024)

Cooperative data-driven modeling
par: Dekhovich, Aleksandr, et autres
Publié: (2022)

Gradient-free neural topology optimization: Towards effective fracture-resistant designs
par: Kus, Gawel, et autres
Publié: (2024)

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency
par: Ferreira, Bernardo P., et autres
Publié: (2025)

Design of a specimen to train path-dependent deep learning material models from a single uniaxial test: eliciting strain diversity via automatically differentiable elastoplastic topology optimization
par: Yin, Shunyu, et autres
Publié: (2025)

Meso-scale size effects of material heterogeneities on crack propagation in brittle solids: Perspectives from phase-field simulations
par: Li, Liuchi, et autres
Publié: (2023)

Integral Equations with Hypersingular Kernels -- Theory and Applications to Fracture Mechanics
par: Chan, Youn-Sha, et autres
Publié: (1999)

Neural topology optimization: the good, the bad, and the ugly
par: Sanu, Suryanarayanan Manoj, et autres
Publié: (2024)

Variable offsets and processing of implicit forms toward the adaptive synthesis and analysis of heterogeneous conforming microstructure
par: Hong, Q. Y., et autres
Publié: (2024)

Numerical efficiency of explicit time integrators for phase-field models
par: Seiz, Marco, et autres
Publié: (2026)

Phase-field modeling of ductile fracture across grain boundaries in polycrystals
par: Auth, Kim Louisa, et autres
Publié: (2024)

A plastic damage model with mixed isotropic-kinematic hardening for low-cycle fatigue in 7020 aluminum
par: Daneshyar, Alireza, et autres
Publié: (2025)

Elucidating microstructural influences on fatigue behavior for additively manufactured Hastelloy X using Bayesian-calibrated crystal plasticity model
par: Kushwaha, Ajay, et autres
Publié: (2024)

Spectra and pseudospectra in the evaluation of material stability in phase field schemes
par: Benzi, Michele, et autres
Publié: (2024)

A discrete dislocation analysis of size-dependent plasticity in torsion
par: Cruzado, A., et autres
Publié: (2024)

Composable and adaptive design of machine learning interatomic potentials guided by Fisher-information analysis
par: Wang, Weishi, et autres
Publié: (2025)

A machine learning based material homogenization technique for in-plane loaded masonry walls
par: Cornejo, Alejandro, et autres
Publié: (2024)

Approximating Young Measures With Deep Neural Networks
par: Mahabadi, Rayehe Karimi, et autres
Publié: (2025)

Asymptotic Formulation of the Role of Shear Loads on Multi-Layered Thin Shells and Classification of Their Deformation Modes
par: Pan, Xiwei, et autres
Publié: (2024)

Amplitude Expansion Phase Field Crystal (APFC) Modeling based Efficient Dislocation Simulations using Fourier Pseudospectral Method
par: Wei, Xinyi, et autres
Publié: (2024)

Cyclic behavior of masonry barrel vaults strengthened through Composite Reinforced Mortar, considering the role of the connection with the abutments
par: Boem, Ingrid, et autres
Publié: (2025)

The Method of Harmonic Balance for the Giesekus Model under Oscillatory Shear
par: Mittal, Shivangi, et autres
Publié: (2023)

Stochastic Generalized-Order Constitutive Modeling of Viscoelastic Spectra of Polyurea-Graphene Nanocomposites
par: Khoshnevis, Arman, et autres
Publié: (2024)

A Phase-Field Approach to Fracture and Fatigue Analysis: Bridging Theory and Simulation
par: Castillón, M., et autres
Publié: (2025)

Second-Order Compatible-Strain Mixed Finite Elements for 2D Compressible Nonlinear Elasticity
par: Jahanshahi, Mohsen, et autres
Publié: (2025)

A crack-length control technique for phase field fracture in FFT homogenization
par: Aranda, Pedro, et autres
Publié: (2024)

Efficient Matching Boundary Conditions of Two-dimensional Honeycomb Lattice for Atomic Simulations
par: Liu, Baiyili, et autres
Publié: (2024)

Simulation of Stochastic Discrete Dislocation Dynamics in Ductile Vs Brittle Materials
par: Chhetri, Santosh, et autres
Publié: (2024)

Mesoscale FEM Model of Concrete: Statistical Assessment of Inherent Stress Concentrations in Dependence on Phase Heterogeneity
par: Mašek, Jan, et autres
Publié: (2025)

Finite Element Theory for PHIMATS
par: Hussein, Abdelrahman
Publié: (2025)

Evaluation of External Magnetic Flux Density in Piezo-Flexomagnetic Nanobeams Using a Hybrid 1D-2D Finite Element Framework
par: Ray, Lala Samprit, et autres
Publié: (2026)

A Quasicontinuum Method with Optimized Local Maximum-Entropy Interpolation and Heaviside Enrichment for Heterogeneous Lattices
par: Werner, Benjamin, et autres
Publié: (2026)

Towards optimal hierarchical training of neural networks
par: Feischl, Michael, et autres
Publié: (2024)

Spectral theory of effective transport for discrete uniaxial polycrystalline materials
par: Murphy, N. Benjamin, et autres
Publié: (2024)

Spectral coefficient learning physics informed neural network for time-dependent fractional parametric differential problems
par: Sivalingam, S M, et autres
Publié: (2025)

Epstein zeta method for many-body lattice sums
par: Buchheit, Andreas A., et autres
Publié: (2025)

Certified machine learning: A posteriori error estimation for physics-informed neural networks
par: Hillebrecht, Birgit, et autres
Publié: (2022)

Nonlinear optical response in kagome lattice with inversion symmetry breaking
par: Liu, Xiangyang, et autres
Publié: (2025)

Surrogate-based multiscale analysis of experiments on thermoplastic composites under off-axis loading
par: Maia, M. A., et autres
Publié: (2025)

Numerical analysis of physics-informed neural networks and related models in physics-informed machine learning
par: De Ryck, Tim, et autres
Publié: (2024)