Material Fingerprinting: A shortcut to material model discovery without solving optimization problems
Fuente:
arXiv
Saved in:
| Main Authors: | Flaschel, Moritz, Martonová, Denisa, Veil, Carina, Kuhl, Ellen |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Adaptive Material Fingerprinting for the fast discovery of polyconvex feature combinations in isotropic and anisotropic hyperelasticity
by: Flaschel, Moritz, et al.
Published: (2026)
by: Flaschel, Moritz, et al.
Published: (2026)
Non-smooth optimization meets automated material model discovery
by: Flaschel, Moritz, et al.
Published: (2025)
by: Flaschel, Moritz, et al.
Published: (2025)
Unsupervised Material Fingerprinting: Ultra-fast hyperelastic model discovery from full-field experimental measurements
by: Flaschel, Moritz, et al.
Published: (2026)
by: Flaschel, Moritz, et al.
Published: (2026)
Modelling and simulation of electro-mechanically coupled dielectric elastomers and myocardial tissue using smoothed finite element methods
by: Tran, Tan, et al.
Published: (2025)
by: Tran, Tan, et al.
Published: (2025)
A topology optimisation framework to design test specimens for one-shot identification or discovery of material models
by: Ghouli, Saeid, et al.
Published: (2025)
by: Ghouli, Saeid, et al.
Published: (2025)
A universal material model subroutine for soft matter systems
by: Peirlinck, Mathias, et al.
Published: (2024)
by: Peirlinck, Mathias, et al.
Published: (2024)
Automated discovery of interpretable hyperelastic material models for human brain tissue with EUCLID
by: Flaschel, Moritz, et al.
Published: (2023)
by: Flaschel, Moritz, et al.
Published: (2023)
Generative AI for material design: A mechanics perspective from burgers to matter
by: Tac, Vahidullah, et al.
Published: (2026)
by: Tac, Vahidullah, et al.
Published: (2026)
High-fidelity level-set modeling of diffusive solid-state phase transformations for polycrystalline materials
by: Chandrappa, Nitish, et al.
Published: (2024)
by: Chandrappa, Nitish, et al.
Published: (2024)
A Synthesizability-Guided Pipeline for Materials Discovery
by: Prein, Thorben, et al.
Published: (2025)
by: Prein, Thorben, et al.
Published: (2025)
Generative Artificial Intelligence creates delicious, sustainable, and nutritious burgers
by: Tac, Vahidullah, et al.
Published: (2026)
by: Tac, Vahidullah, et al.
Published: (2026)
Watching Physics: the Generative Science of Matter and Motion
by: Holthusen, Hagen, et al.
Published: (2026)
by: Holthusen, Hagen, et al.
Published: (2026)
Physics-based material parameters extraction from perovskite experiments via Bayesian optimization
by: Zhan, Hualin, et al.
Published: (2024)
by: Zhan, Hualin, et al.
Published: (2024)
Variational multiscale enrichment method for dynamic response of hyperelastic materials at finite deformation
by: Arora, Abhishek, et al.
Published: (2025)
by: Arora, Abhishek, et al.
Published: (2025)
Texture Independently Drives Liking in AI-Generated Alternative Protein Burgers
by: Tac, Vahidullah, et al.
Published: (2026)
by: Tac, Vahidullah, et al.
Published: (2026)
Accurate and efficient predictions of keyhole dynamics in laser materials processing using machine learning-aided simulations
by: Zhang, Jiahui, et al.
Published: (2024)
by: Zhang, Jiahui, et al.
Published: (2024)
Discovery of Novel Reticular Materials for Carbon Dioxide Capture using GFlowNets
by: Cipcigan, Flaviu, et al.
Published: (2023)
by: Cipcigan, Flaviu, et al.
Published: (2023)
Hetero-EUCLID: Interpretable model discovery for heterogeneous hyperelastic materials using stress-unsupervised learning
by: Chaurasiya, Kanhaiya Lal, et al.
Published: (2025)
by: Chaurasiya, Kanhaiya Lal, et al.
Published: (2025)
High-Performance Gradient Evaluation for Complex Soft Materials Using MPI-based DFS Algorithm
by: Bhattacharyya, Anurag
Published: (2025)
by: Bhattacharyya, Anurag
Published: (2025)
Energy-based PINNs for solving coupled field problems: concepts and application to the multi-objective optimal design of an induction heater
by: Baldan, Marco, et al.
Published: (2024)
by: Baldan, Marco, et al.
Published: (2024)
Phase field cohesive zone modeling for fatigue crack propagation in quasi-brittle materials
by: Baktheer, A., et al.
Published: (2024)
by: Baktheer, A., et al.
Published: (2024)
Discovering the mechanics of ultra-low density elastomeric foams in elite-level racing shoes
by: McCulloch, Jeremy A., et al.
Published: (2026)
by: McCulloch, Jeremy A., et al.
Published: (2026)
Multiscale modelling of thermally stressed superelastic polyimide
by: S, Jerome Samuel, et al.
Published: (2025)
by: S, Jerome Samuel, et al.
Published: (2025)
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)
Learning ultra-compressible hyperelasticity with splines: Constitutive asymmetries and non-unique representations
by: Moreno-Mateos, Miguel Angel, et al.
Published: (2026)
by: Moreno-Mateos, Miguel Angel, et al.
Published: (2026)
What is missing from existing Lithium-Sulfur models to capture coin-cell behaviour?
by: Marinescu, Miss. Elizabeth Olisa Monica
Published: (2025)
by: Marinescu, Miss. Elizabeth Olisa Monica
Published: (2025)
Vertex and front-tracking methods for the modeling of microstructure evolution at the solid state: a brief review
by: Bernacki, Marc
Published: (2025)
by: Bernacki, Marc
Published: (2025)
A physics-informed data-driven framework for modeling hyperelastic materials with progressive damage and failure
by: Upadhyay, Kshitiz
Published: (2026)
by: Upadhyay, Kshitiz
Published: (2026)
When structure does not imply symmetry
by: Pierre, Skyler R. St., et al.
Published: (2026)
by: Pierre, Skyler R. St., et al.
Published: (2026)
Discovering uncertainty: Gaussian constitutive neural networks with correlated weights
by: McCulloch, Jeremy A., et al.
Published: (2025)
by: McCulloch, Jeremy A., et al.
Published: (2025)
DEDEM: Discontinuity Embedded Deep Energy Method for solving fracture mechanics problems
by: Zhao, Luyang, et al.
Published: (2024)
by: Zhao, Luyang, et al.
Published: (2024)
Thermodynamic topology optimization for hardening materials
by: Kick, Miriam, et al.
Published: (2021)
by: Kick, Miriam, et al.
Published: (2021)
Automated Model Discovery for Tensional Homeostasis: Constitutive Machine Learning in Growth and Remodeling
by: Holthusen, Hagen, et al.
Published: (2024)
by: Holthusen, Hagen, et al.
Published: (2024)
A holomorphic Kolmogorov-Arnold network framework for solving elliptic problems on arbitrary 2D domains
by: Calafà, Matteo, et al.
Published: (2025)
by: Calafà, Matteo, et al.
Published: (2025)
GRFsaw: A lightweight stochastic microstructure generator
by: Blatny, Lars, et al.
Published: (2024)
by: Blatny, Lars, et al.
Published: (2024)
Persistence is All You Need -- A Topological Lens on Microstructural Characterization
by: Szemer, Maksym, et al.
Published: (2025)
by: Szemer, Maksym, et al.
Published: (2025)
A Physics-Enforced Neural Network to Predict Polymer Melt Viscosity
by: Jain, Ayush, et al.
Published: (2024)
by: Jain, Ayush, et al.
Published: (2024)
Smart Reaction Templating: A Graph-Based Method for Automated Molecular Dynamics Input Generation
by: Konrad, Julian, et al.
Published: (2025)
by: Konrad, Julian, et al.
Published: (2025)
A multi-scale probabilistic methodology to predict high-cycle fatigue lifetime for alloys with process-induced pores
by: Palchoudhary, Abhishek, et al.
Published: (2024)
by: Palchoudhary, Abhishek, et al.
Published: (2024)
Automated model discovery of finite strain elastoplasticity from uniaxial experiments
by: Jadoon, Asghar A., et al.
Published: (2024)
by: Jadoon, Asghar A., et al.
Published: (2024)
Similar Items
-
Adaptive Material Fingerprinting for the fast discovery of polyconvex feature combinations in isotropic and anisotropic hyperelasticity
by: Flaschel, Moritz, et al.
Published: (2026) -
Non-smooth optimization meets automated material model discovery
by: Flaschel, Moritz, et al.
Published: (2025) -
Unsupervised Material Fingerprinting: Ultra-fast hyperelastic model discovery from full-field experimental measurements
by: Flaschel, Moritz, et al.
Published: (2026) -
Modelling and simulation of electro-mechanically coupled dielectric elastomers and myocardial tissue using smoothed finite element methods
by: Tran, Tan, et al.
Published: (2025) -
A topology optimisation framework to design test specimens for one-shot identification or discovery of material models
by: Ghouli, Saeid, et al.
Published: (2025)