activity
20202022
most citedAn Interface-enriched Generalized Finite Element Method for Levelset-based Topology Optimization

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cond-mat.soft2022

Sensitivity of viscoelastic characterization in multi-harmonic atomic force microscopy

Abhilash Chandrashekar, Arthur Givois, Pierpaolo Belardinelli +4

Quantifying the nanomechanical properties of soft-matter using multi-frequency atomic force microscopy (AFM) is crucial for studying the performance of polymers, ultra-thin coating…

cs.CE2021

An interface-enriched generalized finite element formulation for locking-free coupling of non-conforming discretizations and contact

Dongyu Liu, Sanne J. van den Boom, Angelo Simone +1

We propose an enriched finite element formulation to address the computational modeling of contact problems and the coupling of non-conforming discretizations in the small deformat…

cs.LG2021★ 1 cited

A machine learning approach for fighting the curse of dimensionality in global optimization

Julian F. Schumann, Alejandro M. Aragón

Finding global optima in high-dimensional optimization problems is extremely challenging since the number of function evaluations required to sufficiently explore the search space…

cond-mat.soft2021

Edible meta-atoms

André Souto, Jian Zhang, Alejandro M. Aragón +2

Metamaterials are artificial structures with unusual and superior properties that come from their carefully designed building blocks -- also called meta-atoms. Metamaterials have p…

cs.CE2020★ 2 cited

An Interface-enriched Generalized Finite Element Method for Levelset-based Topology Optimization

Sanne J. van den Boom, Jian Zhang, Fred van Keulen +1

During design optimization, a smooth description of the geometry is important, especially for problems that are sensitive to the way interfaces are resolved, e.g., wave propagation…