Image de couverture de livre

A thermodynamically consistent physics-informed deep learning material model for short fiber/polymer nanocomposites

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Bahtiri, Betim, Arash, Behrouz, Scheffler, Sven, Jux, Maximilian, Rolfes, Raimund
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Artificial Intelligence Computational Engineering, Finance, and Science Numerical Analysis
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

A machine learning-based viscoelastic-viscoplastic model for epoxy nanocomposites with moisture content
par: Bahtiri, Betim, et autres
Publié: (2023)

Cyclic viscoelastic-viscoplastic behavior of epoxy nanocomposites under hygrothermal conditions: A phase-field fracture model
par: Arash, Behrouz, et autres
Publié: (2024)

A hybrid electromechanical phase-field and deep learning framework for predicting fracture in dielectric nanocomposites
par: Dean, Aamir, et autres
Publié: (2025)

A phase-field framework for anisotropic viscoelastic-viscoplastic fracture in short fiber-reinforced polymers in hygrothermal environments
par: Arash, Behrouz, et autres
Publié: (2026)

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

A computational model for short-range van der Waals interactions between beams and shells
par: Borković, Aleksandar, et autres
Publié: (2026)

Convergence of physics-informed neural networks modeling time-harmonic wave fields
par: Schoder, Stefan, et autres
Publié: (2025)

Physics‐Informed Deep Learning Constitutive Model for Anisotropic and Pressure‐Dependent Behavior of Short Fiber‐Reinforced Polymers
par: Aamir Dean, et autres
Publié: (2025)

Simulating programmable morphing of shape memory polymer beam systems with complex geometry and topology
par: Ferri, Giulio, et autres
Publié: (2025)

Physics-aware generative models for turbulent fluid flows through energy-consistent stochastic interpolants
par: Mücke, Nikolaj T., et autres
Publié: (2025)

Optimal Experimental Design of a Moving Sensor for Linear Bayesian Inverse Problems
par: Aretz, Nicole, et autres
Publié: (2025)

Fast training of accurate physics-informed neural networks without gradient descent
par: Datar, Chinmay, et autres
Publié: (2024)

Physics-informed active learning with simultaneous weak-form latent space dynamics identification
par: He, Xiaolong, et autres
Publié: (2024)

Treatment of near-incompressibility and volumetric locking in higher order material point methods
par: Telikicherla, Ram Mohan, et autres
Publié: (2024)

Energy-consistent integration of mechanical systems based on Livens principle
par: Kinon, Philipp L., et autres
Publié: (2023)

Identifying heterogeneous micromechanical properties of biological tissues via physics-informed neural networks
par: Wu, Wensi, et autres
Publié: (2024)

A Class of Analytic Solutions for Verification and Convergence Analysis of Linear and Nonlinear Fluid-Structure Interaction Algorithms
par: Hessenthaler, Andreas, et autres
Publié: (2019)

Multi-Patch Isogeometric Convolution Hierarchical Deep-learning Neural Network
par: Zhang, Lei, et autres
Publié: (2024)

A Low-Frequency-Stable Higher-Order Isogeometric Discretization of the Augmented Electric Field Integral Equation
par: Nolte, Maximilian, et autres
Publié: (2024)

Port-Hamiltonian multibody dynamics: Lagrangian formulation, consistent interconnection, structure-preserving simulation and index-reduction
par: Latussek, Lisa, et autres
Publié: (2026)

Improving the Adaptive Moment Estimation (ADAM) stochastic optimizer through an Implicit-Explicit (IMEX) time-stepping approach
par: Bhattacharjee, Abhinab, et autres
Publié: (2024)

Active learning for data-driven reduced models of parametric differential systems with Bayesian operator inference
par: McQuarrie, Shane A., et autres
Publié: (2025)

Block-structured Operator Inference for coupled multiphysics model reduction
par: Zastrow, Benjamin G., et autres
Publié: (2025)

An eikonal model with re-excitability for fast simulations in cardiac electrophysiology
par: Gander, Lia, et autres
Publié: (2024)

Hot-pressing process modeling for medium density fiberboard (MDF)
par: Nigro, Noberto M., et autres
Publié: (2000)

Towards uncertainty quantification of a model for cancer-on-chip experiments
par: Bertoluzza, Silvia, et autres
Publié: (2026)

Large language model-empowered next-generation computer-aided engineering
par: Guo, Jiachen, et autres
Publié: (2025)

Domain decomposition for data-driven reduced modeling of large-scale systems
par: Farcas, Ionut-Gabriel, et autres
Publié: (2023)

Overcoming the cohesive zone limit in the modelling of composites delamination with TUBA cohesive elements
par: Balducci, Giorgio Tosti, et autres
Publié: (2024)

Noise-robust multi-fidelity surrogate modelling for parametric partial differential equations
par: Kent, Benjamin M., et autres
Publié: (2025)

A local basis approximation approach for nonlinear parametric model order reduction
par: Vlachas, Konstantinos, et autres
Publié: (2020)

A probabilistic reduced-order modeling framework for patient-specific cardio-mechanical analysis
par: Willems, Robin, et autres
Publié: (2024)

Structural cohesive element for the modelling of delamination in composite laminates without the cohesive zone limit
par: Ai, Xiaopeng, et autres
Publié: (2024)

A reduced 3D-0D FSI model of the aortic valve including leaflet curvature
par: Fumagalli, Ivan, et autres
Publié: (2021)

A surrogate model for computational homogenization of elastostatics at finite strain using the HDMR-based neural network approximator
par: Nguyen-Thanh, Vien Minh, et autres
Publié: (2019)

Data-Driven Structural Health Monitoring of Short Carbon Fiber-Reinforced Polymer Composites via Multiphysics Phase-Field Simulation
par: Arash, Behrouz, et autres
Publié: (2026)

Second order hierarchical partial least squares regression-polynomial chaos expansion for global sensitivity and reliability analyses of high-dimensional models
par: Bu, Ling-Ze, et autres
Publié: (2019)

Sparsity comparison of polytopal finite element methods
par: Lehrenfeld, Christoph, et autres
Publié: (2024)

The internal law of a material can be discovered from its boundary
par: Regazzoni, Francesco
Publié: (2026)

Modelling the effect of fiber distribution on the transverse mechanical characteristics of unidirectionally reinforced continuous-fiber composite
par: Tarasovs, Sergejs, et autres
Publié: (2026)