Moritz Flaschel

According to our database, Moritz Flaschel authored at least 16 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Shape-Space Graphs: Fast and Collision-Free Path Planning for Soft Robots.

Carina Veil, Moritz Flaschel, Ellen Kuhl

IEEE Robotics Autom. Lett., May, 2026

Adaptive Material Fingerprinting for the fast discovery of polyconvex feature combinations in isotropic and anisotropic hyperelasticity.

Moritz Flaschel, Hagen Holthusen, Denisa Martonova, Ellen Kuhl

CoRR, April, 2026

Infinite-Dimensional Closed-Loop Inverse Kinematics for Soft Robots via Neural Operators.

Carina Veil, Moritz Flaschel, Ellen Kuhl, Cosimo Della Santina

CoRR, February, 2026

Unsupervised Material Fingerprinting: Ultra-fast hyperelastic model discovery from full-field experimental measurements.

Moritz Flaschel, Miguel Angel Moreno-Mateos, Simon Wiesheier, Paul Steinmann, Ellen Kuhl

CoRR, January, 2026

2025

Discovering non-associated pressure-sensitive plasticity models with EUCLID.

Haotian Xu, Moritz Flaschel, Laura De Lorenzis

Adv. Model. Simul. Eng. Sci., December, 2025

Material Fingerprinting: A shortcut to material model discovery without solving optimization problems.

Moritz Flaschel, Denisa Martonova, Carina Veil, Ellen Kuhl

CoRR, August, 2025

Non-smooth optimization meets automated material model discovery.

Moritz Flaschel, Trevor Hastie, Ellen Kuhl

CoRR, July, 2025

A topology optimisation framework to design test specimens for one-shot identification or discovery of material models.

Saeid Ghouli, Moritz Flaschel, Siddhant Kumar, Laura De Lorenzis

CoRR, January, 2025

2024

A review on data-driven constitutive laws for solids.

Jan Niklas Fuhg, Govinda Anantha Padmanabha, Nikolaos Bouklas, Bahador Bahmani, WaiChing Sun, Nikolaos N. Vlassis, Moritz Flaschel, Pietro Carrara, Laura De Lorenzis

CoRR, 2024

Reduced and All-at-Once Approaches for Model Calibration and Discovery in Computational Solid Mechanics.

Ulrich Römer, Stefan Hartmann, Jendrik-Alexander Tröger, David Anton, Henning Wessels, Moritz Flaschel, Laura De Lorenzis

CoRR, 2024

2023

Automated discovery of interpretable hyperelastic material models for human brain tissue with EUCLID.

Moritz Flaschel, Huitian Yu, Nina Reiter, Jan Hinrichsen, Silvia Budday, Paul Steinmann, Siddhant Kumar, Laura De Lorenzis

CoRR, 2023

2022

Automated discovery of generalized standard material models with EUCLID.

Moritz Flaschel, Siddhant Kumar, Laura De Lorenzis

CoRR, 2022

NN-EUCLID: deep-learning hyperelasticity without stress data.

Prakash Thakolkaran, Akshay Joshi, Yiwen Zheng, Moritz Flaschel, Laura De Lorenzis, Siddhant Kumar

CoRR, 2022

Bayesian-EUCLID: discovering hyperelastic material laws with uncertainties.

Akshay Joshi, Prakash Thakolkaran, Yiwen Zheng, Maxime Escande, Moritz Flaschel, Laura De Lorenzis, Siddhant Kumar

CoRR, 2022

Discovering plasticity models without stress data.

Moritz Flaschel, Siddhant Kumar, Laura De Lorenzis

CoRR, 2022

2020

Unsupervised discovery of interpretable hyperelastic constitutive laws.

Moritz Flaschel, Siddhant Kumar, Laura De Lorenzis

CoRR, 2020