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researcher

Lucas Lestandi

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG1
  • math.NA1
ORCID 0000-0001-8457-1131

identity via Semantic Scholar / OpenAlex

most citedGraph Neural Network Based Surrogate Model of Physics Simulations for Geometry Design

10 citations · 10 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2023★ 10 cited

Graph Neural Network Based Surrogate Model of Physics Simulations for Geometry Design

Jian Cheng Wong, Chin Chun Ooi, Joyjit Chattoraj +6

Computational Intelligence (CI) techniques have shown great potential as a surrogate model of expensive physics simulation, with demonstrated ability to make fast predictions, albe…

math.NA2023

An iterative multi-fidelity approach for model order reduction of multi-dimensional input parametric PDE systems

Manisha Chetry, Domenico Borzacchiello, Lucas Lestandi +1

We propose a parametric sampling strategy for the reduction of large-scale PDE systems with multidimensional input parametric spaces by leveraging models of different fidelity. The…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.