activity
20142026
most citedUnsupervised discovery of interpretable hyperelastic constitutive laws

264 citations · 1.5k across the 33 of their papers we have counts for

collaborators
Showing 2022Show all

7 papers · 1 filter

cond-mat.mtrl-sci2022★ 60 cited

Automated identification of linear viscoelastic constitutive laws with EUCLID

Enzo Marino, Moritz Flaschel, Siddhant Kumar +1

We extend EUCLID, a computational strategy for automated material model discovery and identification, to linear viscoelasticity. For this case, we perform a priori model selection…

cond-mat.mtrl-sci2022★ 168 cited

Automated discovery of generalized standard material models with EUCLID

Moritz Flaschel, Siddhant Kumar, Laura De Lorenzis

We extend the scope of our approach for unsupervised automated discovery of material laws (EUCLID) to the case of a material belonging to an unknown class of behavior. To this end,…

math.NA2022★ 18 cited

A new lattice Boltzmann scheme for linear elastic solids: periodic problems

Oliver Boolakee, Martin Geier, Laura De Lorenzis

We propose a new second-order accurate lattice Boltzmann scheme that solves the quasi-static equations of linear elasticity in two dimensions. In contrast to previous works, our fo…

cs.LG2022★ 175 cited

NN-EUCLID: deep-learning hyperelasticity without stress data

Prakash Thakolkaran, Akshay Joshi, Yiwen Zheng +3

We propose a new approach for unsupervised learning of hyperelastic constitutive laws with physics-consistent deep neural networks. In contrast to supervised learning, which assume…

cs.CE2022★ 1 cited

Bayesian-EUCLID: discovering hyperelastic material laws with uncertainties

Akshay Joshi, Prakash Thakolkaran, Yiwen Zheng +4

Within the scope of our recent approach for Efficient Unsupervised Constitutive Law Identification and Discovery (EUCLID), we propose an unsupervised Bayesian learning framework fo…

cs.CE2022★ 125 cited

Discovering plasticity models without stress data

Moritz Flaschel, Siddhant Kumar, Laura De Lorenzis

We propose a new approach for data-driven automated discovery of material laws, which we call EUCLID (Efficient Unsupervised Constitutive Law Identification and Discovery), and we…

physics.app-ph2022★ 25 cited

Phase-field modeling of brittle fracture in heterogeneous bars

Francesco Vicentini, Pietro Carrara, Laura De Lorenzis

We investigate phase-field modeling of brittle fracture in a one-dimensional bar featuring a continuous variation of elastic and/or fracture properties along its axis. Our main goa…