activity
20122026
most citedNeural topology optimization: the good, the bad, and the ugly

6 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CE2026

: A Dual Topological Derivative-Based Enriched Topology Optimization for Fracture Mitigation in 3-D Brittle Solids

Majd Kosta, Shangru Liu, Alejandro M. Aragón

We propose a fracture-mitigation topology optimization framework for 3-D brittle solids. The topology is described by a level set function parameterized by radial basis functions,…

cs.LG2024★ 6 cited

Neural topology optimization: the good, the bad, and the ugly

Suryanarayanan Manoj Sanu, Alejandro M. Aragon, Miguel A. Bessa

Neural networks (NNs) hold great promise for advancing inverse design via topology optimization (TO), yet misconceptions about their application persist. This article focuses on ne…

cond-mat.soft2024★ 1 cited

Fracture metamaterials with on-demand crack paths enabled by bending

Lucie Domino, Mariam Beaure d'Augères, Jian Zhang +3

In many scenarios -- when we bite food or during a crash -- fracture is inevitable. Finding solutions to steer fracture to mitigate its impact or turn it into a purposeful function…

cs.DL2013

A measure for the impact of research

Alejandro M. Aragón

The last few years have seen the proliferation of measures that quantify the scientific output of researches. Yet, these measures focus on productivity, thus fostering the "publish…

cs.MS2012★ 5 cited

A C++11 implementation of arbitrary-rank tensors for high-performance computing

Alejandro M. Aragón

This article discusses an efficient implementation of tensors of arbitrary rank by using some of the idioms introduced by the recently published C++ ISO Standard (C++11). With the…