Uncertainty Quantification in Calibration and Simulation of Thermo-Chemical Curing of Epoxy Resins
Fuente:
arXiv
Saved in:
| Main Authors: | Tröger, Jendrik-Alexander, Steinweller, Christina, Hartmann, Stefan |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Reduced and All-at-Once Approaches for Model Calibration and Discovery in Computational Solid Mechanics
by: Römer, Ulrich, et al.
Published: (2024)
by: Römer, Ulrich, et al.
Published: (2024)
Enhancing Multiscale Simulations with Constitutive Relations-Aware Deep Operator Networks
by: Eivazi, Hamidreza, et al.
Published: (2024)
by: Eivazi, Hamidreza, et al.
Published: (2024)
A Neural Operator based Hybrid Microscale Model for Multiscale Simulation of Rate-Dependent Materials
by: Jeyaraj, Dhananjeyan, et al.
Published: (2025)
by: Jeyaraj, Dhananjeyan, et al.
Published: (2025)
Focal Mechanism Uncertainty Quantification In Ground Motion Simulations Of Le Teil Earthquake
by: Soto, Valeria, et al.
Published: (2025)
by: Soto, Valeria, et al.
Published: (2025)
Rediscovering the Mullins Effect With Deep Symbolic Regression
by: Abdusalamov, Rasul, et al.
Published: (2024)
by: Abdusalamov, Rasul, et al.
Published: (2024)
Embedded Model Form Uncertainty Quantification with Measurement Noise for Bayesian Model Calibration
by: Arcones, Daniel Andrés, et al.
Published: (2024)
by: Arcones, Daniel Andrés, et al.
Published: (2024)
Multi-Level Monte Carlo sampling with Parallel-in-Time Integration for Uncertainty Quantification in Electric Machine Simulation
by: Hahn, Robert, et al.
Published: (2025)
by: Hahn, Robert, et al.
Published: (2025)
Intrusive and Non-Intrusive Model Order Reduction for Airborne Contaminant Transport: Comparative Analysis and Uncertainty Quantification
by: Kühn, Lisa, et al.
Published: (2026)
by: Kühn, Lisa, et al.
Published: (2026)
An Efficient Bayesian Framework for Inverse Problems via Optimization and Inversion: Surrogate Modeling, Parameter Inference, and Uncertainty Quantification
by: Chiappetta, Mihaela, et al.
Published: (2026)
by: Chiappetta, Mihaela, et al.
Published: (2026)
Interpolation of GEDI Biomass Estimates with Calibrated Uncertainty Quantification
by: Young, Robin, et al.
Published: (2026)
by: Young, Robin, et al.
Published: (2026)
Reliability-Based Design Optimization Incorporating Extended Optimal Uncertainty Quantification
by: Miska, Niklas, et al.
Published: (2024)
by: Miska, Niklas, et al.
Published: (2024)
Conditional Uncertainty Quantification of Stochastic Dynamical Structures Considering Measurement Conditions
by: Wu, Feng, et al.
Published: (2024)
by: Wu, Feng, et al.
Published: (2024)
Exact Conditional Score-Guided Generative Modeling for Amortized Inference in Uncertainty Quantification
by: Zhang, Zezhong, et al.
Published: (2025)
by: Zhang, Zezhong, et al.
Published: (2025)
A Physics-Aware Variational Graph Autoencoder for Joint Modal Identification with Uncertainty Quantification
by: Nath, Bhargav, et al.
Published: (2026)
by: Nath, Bhargav, et al.
Published: (2026)
Towards Calibrating Financial Market Simulators with High-frequency Data
by: Yang, Peng, et al.
Published: (2025)
by: Yang, Peng, et al.
Published: (2025)
ThermoRL:Structure-Aware Reinforcement Learning for Protein Mutation Design to Enhance Thermostability
by: Wang, Xiangwen, et al.
Published: (2025)
by: Wang, Xiangwen, et al.
Published: (2025)
Multi-Fidelity Bayesian Neural Network for Uncertainty Quantification in Transonic Aerodynamic Loads
by: Vaiuso, Andrea, et al.
Published: (2024)
by: Vaiuso, Andrea, et al.
Published: (2024)
Reliable Uncertainty Quantification for Fiber Orientation in Composite Molding Processes using Multilevel Polynomial Surrogates
by: Salatovic, Stjepan, et al.
Published: (2024)
by: Salatovic, Stjepan, et al.
Published: (2024)
Towards Real-Time Urban Physics Simulations with Digital Twins
by: Bonari, Jacopo, et al.
Published: (2024)
by: Bonari, Jacopo, et al.
Published: (2024)
Warp Quantification Analysis: A Framework For Path-based Signal Alignment Metrics
by: Wiafe, Sir-Lord, et al.
Published: (2025)
by: Wiafe, Sir-Lord, et al.
Published: (2025)
Algorithm Selection in Short-Range Molecular Dynamics Simulations
by: Newcome, Samuel James, et al.
Published: (2025)
by: Newcome, Samuel James, et al.
Published: (2025)
Finite Volume Analysis of Nonlinear Thermo-mechanical Dynamics of Shape Memory Alloys
by: Wang, Linxiang X., et al.
Published: (2007)
by: Wang, Linxiang X., et al.
Published: (2007)
Thermal Model Calibration of a Squirrel-Cage Induction Machine
by: Blumrich, Leon, et al.
Published: (2025)
by: Blumrich, Leon, et al.
Published: (2025)
Contaminant Dispersion Simulation in a Digital Twin Framework for Critical Infrastructure Protection
by: von Danwitz, Max, et al.
Published: (2024)
by: von Danwitz, Max, et al.
Published: (2024)
Dynamic Asset Pricing: Integrating FinBERT-Based Sentiment Quantification with the Fama--French Five-Factor Model
by: Zhang, Chi
Published: (2025)
by: Zhang, Chi
Published: (2025)
A Direct-adjoint Approach for Material Point Model Calibration with Application to Plasticity
by: Yan, Ryan, et al.
Published: (2025)
by: Yan, Ryan, et al.
Published: (2025)
Bayesian Parameter Inference and Uncertainty Quantification for a Computational Pulmonary Hemodynamics Model Using Gaussian Processes
by: Kachabi, Amirreza, et al.
Published: (2025)
by: Kachabi, Amirreza, et al.
Published: (2025)
Earthquake Simulation
by: Chawla, Palak
Published: (2025)
by: Chawla, Palak
Published: (2025)
Direct Learning of Calibration-Aware Uncertainty for Neural PDE Surrogates
by: Brito, Carlos Stein
Published: (2026)
by: Brito, Carlos Stein
Published: (2026)
The Multiple Time-Stepping Method for 3-Body Interactions in High Performance Molecular Dynamics Simulations
by: Martin, David, et al.
Published: (2025)
by: Martin, David, et al.
Published: (2025)
Sliced Online Model Checking for Optimizing the Beam Scheduling Problem in Robotic Radiation Therapy
by: Beckers, Lars, et al.
Published: (2024)
by: Beckers, Lars, et al.
Published: (2024)
Efficient Parameter Calibration of Numerical Weather Prediction Models via Evolutionary Sequential Transfer Optimization
by: Fang, Heping, et al.
Published: (2026)
by: Fang, Heping, et al.
Published: (2026)
Calibration and Validation of a Phase-Field Model of Brittle Fracture within the Damage Mechanics Challenge
by: Heinzmann, Jonas, et al.
Published: (2024)
by: Heinzmann, Jonas, et al.
Published: (2024)
Towards an Assisted Simulation Planning for Co-Simulation of Cyber-Physical Energy Systems
by: Schwarz, Jan Sören, et al.
Published: (2024)
by: Schwarz, Jan Sören, et al.
Published: (2024)
Data Driven Calibration of Analytical Concrete Creep Models Considering Preloading Effects Using Gaussian Processes
by: Heller, Leonie, et al.
Published: (2026)
by: Heller, Leonie, et al.
Published: (2026)
Impact of Geometric Uncertainty on the Computation of Abdominal Aortic Aneurysm Wall Strain
by: Sekhavat, Saeideh, et al.
Published: (2025)
by: Sekhavat, Saeideh, et al.
Published: (2025)
The Deep Latent Space Particle Filter for Real-Time Data Assimilation with Uncertainty Quantification
by: Mücke, Nikolaj T., et al.
Published: (2024)
by: Mücke, Nikolaj T., et al.
Published: (2024)
Modeling Batch Crystallization under Uncertainty Using Physics-informed Machine Learning
by: Nai, Dingqi, et al.
Published: (2026)
by: Nai, Dingqi, et al.
Published: (2026)
Efficient Road Renovation Scheduling under Uncertainty using Lower Bound Pruning
by: Bosch, Robbert, et al.
Published: (2026)
by: Bosch, Robbert, et al.
Published: (2026)
Uncertainty-aware Machine Learning Interatomic Potentials via Learned Functional Perturbations
by: Zaghen, Olga, et al.
Published: (2026)
by: Zaghen, Olga, et al.
Published: (2026)
Similar Items
-
Reduced and All-at-Once Approaches for Model Calibration and Discovery in Computational Solid Mechanics
by: Römer, Ulrich, et al.
Published: (2024) -
Enhancing Multiscale Simulations with Constitutive Relations-Aware Deep Operator Networks
by: Eivazi, Hamidreza, et al.
Published: (2024) -
A Neural Operator based Hybrid Microscale Model for Multiscale Simulation of Rate-Dependent Materials
by: Jeyaraj, Dhananjeyan, et al.
Published: (2025) -
Focal Mechanism Uncertainty Quantification In Ground Motion Simulations Of Le Teil Earthquake
by: Soto, Valeria, et al.
Published: (2025) -
Rediscovering the Mullins Effect With Deep Symbolic Regression
by: Abdusalamov, Rasul, et al.
Published: (2024)