Cover Image

A Variational Kolosov--Muskhelishvili Network for Elasticity and Fracture

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhou, Shuwei, Häffner, Christian, Stebner, Sophie, Fehlemann, Niklas, Wei, Zhichao, Münstermann, Sebastian
Format:	Preprint
Published:	2026
Subjects:	Computational Engineering, Finance, and Science
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Transfer-learned Kolosov-Muskhelishvili Informed Neural Networks for Fracture Mechanics
by: Zhou, Shuwei, et al.
Published: (2026)

On the impact of geometric variance on the performance of formed parts: A probabilistic approach on the example of airbag pressure bins
by: Schnelle, Lukas, et al.
Published: (2025)

Physics-Informed Holomorphic Neural Networks (PIHNNs): Solving Linear Elasticity Problems
by: Calafà, Matteo, et al.
Published: (2024)

A GPU-Accelerated Three-Dimensional Crack Element Method for Transient Dynamic Fracture Simulation
by: Xie, Yuxi, et al.
Published: (2025)

History-Matching of Imbibition Flow in Multiscale Fractured Porous Media Using Physics-Informed Neural Networks (PINNs)
by: Abbasi, Jassem, et al.
Published: (2024)

Anticipating AMOC transitions via deep learning
by: Zhang, Wenjie, et al.
Published: (2025)

Integrated Finite Element Neural Network (IFENN) for Phase-Field Fracture with Minimal Input and Generalized Geometry-Load Handling
by: Pantidis, Panos, et al.
Published: (2025)

A Regularized Ensemble Kalman Filter for Stochastic Phase Field Models of Brittle Fracture
by: Hermann, Lucas, et al.
Published: (2026)

Reliability-Based Design Optimization Incorporating Extended Optimal Uncertainty Quantification
by: Miska, Niklas, et al.
Published: (2024)

Unfitted Multi-Level hp Refinement for Localized and Moving Solution Features
by: Schmäke, Jan Niklas, et al.
Published: (2026)

Compliant Mechanism Synthesis Using Nonlinear Elastic Topology Optimization with Variable Boundary Conditions
by: Alacoque, Lee R., et al.
Published: (2023)

Adapting Deep Variational Bayes Filter for Enhanced Confidence Estimation in Finite Element Method Integrated Networks (FEMIN)
by: Thel, Simon, et al.
Published: (2024)

A Multiscale Fracture Model using Peridynamic Enrichment of Finite Elements within an Adaptive Partition of Unity: Experimental Validation
by: Birner, Matthias, et al.
Published: (2024)

Calibration and Validation of a Phase-Field Model of Brittle Fracture within the Damage Mechanics Challenge
by: Heinzmann, Jonas, et al.
Published: (2024)

Graph Neural Network Approach to Predict the Effects of Road Capacity Reduction Policies: A Case Study for Paris, France
by: Natterer, Elena, et al.
Published: (2024)

HyFrac.fun: A 3D Hydraulic Fracturing Simulator on Cloud
by: Hu, Jing, et al.
Published: (2026)

A Generative Adversarial Graph Neural Network for Synthetic Time Series Data
by: Gregnanin, Marco, et al.
Published: (2026)

Variational Quantum Latent Encoding for Topology Optimization
by: Tabarraei, Alireza
Published: (2025)

Elastic-gap free strain gradient crystal plasticity model that effectively account for plastic slip gradient and grain boundary dissipation
by: Mukherjee, Anjan, et al.
Published: (2024)

Superstructure Optimization with Embedded Neural Networks for Sustainable Aviation Fuel Production
by: Klimek, Alexander, et al.
Published: (2025)

A novel geometric predictive algorithm for assessing Compressive Elastic Modulus in MEX additive processes, based on part nonlinearities and layers stiffness,validated with PETG and PLA materials
by: Colmenero, J. M. Mercado, et al.
Published: (2025)

How Do Ice Shelves Calve? Peridynamic Modeling of Ice Shelf Fracture Driven by Wave Erosion, Basal Melting, and Buoyancy Flexure
by: Song, Ying, et al.
Published: (2026)

Dynamic Learning Rate Decay for Stochastic Variational Inference
by: Dinkel, Maximilian, et al.
Published: (2024)

Electromechanical computational model of the human stomach
by: Henke, Maire S., et al.
Published: (2025)

A Physics-Aware Variational Graph Autoencoder for Joint Modal Identification with Uncertainty Quantification
by: Nath, Bhargav, et al.
Published: (2026)

Neural Modular Physics for Elastic Simulation
by: Li, Yifei, et al.
Published: (2025)

Poisson Energy Formulation for Floorplanning: Variational Analysis and Mathematical Foundations
by: Zhu, Wenxing, et al.
Published: (2025)

A Black Box Variational Inference Scheme for Inverse Problems with Demanding Physics-Based Models
by: Rei, G. Robalo, et al.
Published: (2025)

Surrogate impact modelling for crop yield assessment
by: Vlachopoulos, Odysseas, et al.
Published: (2026)

Learning Parameterized Nonlinear Elasticity on Curved Surfaces
by: Liu, Yankang, et al.
Published: (2026)

Hierarchical Rank-One Sequence Convexification for the Relaxation of Variational Problems with Microstructures
by: Köhler, Maximilian, et al.
Published: (2024)

ADEPT: A Noninvasive Method for Determining Elastic Parameters of Valve Tissue
by: Wu, Wensi, et al.
Published: (2024)

Measuring Investor Learning in Private Markets: A Sequential LLM-Bayesian Analysis of Expert Network Calls
by: Chai, Yidong, et al.
Published: (2025)

Deep Material Network: Overview, applications and current directions
by: Wei, Ting-Ju, et al.
Published: (2025)

The Statistical Significance of the Inclusion of Graph Neural Networks in the Financial Time Series Forecasting Problem
by: Gregnanin, Marco, et al.
Published: (2026)

Leveraging NFTs for Spectrum Securitization in 6G Networks
by: Zhou, Zhixian, et al.
Published: (2024)

Zero-Shot Forecasting of Network Dynamics through Weight Flow Matching
by: Zhou, Shihe, et al.
Published: (2025)

A Texture-Generalizable Deep Material Network via Orientation-Aware Interaction Learning for Polycrystal Modeling and Texture Evolution
by: Wei, Ting-Ju, et al.
Published: (2025)

FFV-PINN: A Fast Physics-Informed Neural Network with Simplified Finite Volume Discretization and Residual Correction
by: Wei, Chang, et al.
Published: (2026)

Non-parametric Inference for Diffusion Processes: A Computational Approach via Bayesian Inversion for PDEs
by: Kruse, Maximilian, et al.
Published: (2024)