activity
20222025
most citedModel-Free Data-Driven Inference in Computational Mechanics

32 citations · 49 across the 8 of their papers we have counts for

collaborators

7 papers

cs.CE20244 cited

An enhanced single Gaussian point continuum finite element formulation using automatic differentiation

Njomza Pacolli, Ahmad Awad, Jannick Kehls +4

This contribution presents an improved low-order 3D finite element formulation with hourglass stabilization using automatic differentiation (AD). Here, the former Q1STc formulation…

cs.CE2024

FFT-based surrogate modeling of auxetic metamaterials with real-time prediction of effective elastic properties and swift inverse design

Hooman Danesh, Daniele Di Lorenzo, Francisco Chinesta +2

Auxetic structures, known for their negative Poisson's ratio, exhibit effective elastic properties heavily influenced by their underlying structural geometry and base material prop…

math.AP2024

A multi-field decomposed model order reduction approach for thermo-mechanically coupled gradient-extended damage simulations

Qinghua Zhang, Stephan Ritzert, Jian Zhang +3

Numerical simulations are crucial for comprehending how engineering structures behave under extreme conditions, particularly when dealing with thermo-mechanically coupled issues co…

physics.bio-ph20241 cited

In silico reproduction of the pathophysiology of in-stent restenosis

Kiran Manjunatha, Anna Ranno, Jianye Shi +6

The occurrence of in-stent restenosis following percutaneous coronary intervention highlights the need for the creation of computational tools that can extract pathophysiological i…

cs.CE2023

Computational modeling of in-stent restenosis: Pharmacokinetic and pharmacodynamic evaluation

Kiran Manjunatha, Nicole Schaaps, Marek Behr +2

Persistence of the pathology of in-stent restenosis even with the advent of drug-eluting stents warrants the development of highly resolved in silico models. These computational mo…

cs.CE202232 cited

Model-Free Data-Driven Inference in Computational Mechanics

Erik Prume, Stefanie Reese, Michael Ortiz

We extend the model-free Data-Driven computing paradigm to solids and structures that are stochastic due to intrinsic randomness in the material behavior. The behavior of such mate…