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Amaury Johnen

dblp:122/5350 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2018
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 2 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
2 papers
Geometric modeling and processing · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational science and engineering · 100%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Geometric modeling and processing › mesh generation
hexahedral meshing
0.312018
Identifying combinations of tetrahedra into hexahedra: A vertex based strategy · Comput. Aided Des. 2018
Geometric modeling and processing
mesh generation
0.312018
Identifying combinations of tetrahedra into hexahedra: A vertex based strategy · Comput. Aided Des. 2018
Computational science and engineering
finite element analysis
0.112018
Efficient computation of the minimum of shape quality measures on curvilinear finite elements · Comput. Aided Des. 2018
Geometric modeling and processing › mesh processing
tetrahedral mesh processing
0.112018
Identifying combinations of tetrahedra into hexahedra: A vertex based strategy · Comput. Aided Des. 2018

Methods — techniques the papers use, named apart from their topics

numerical optimization · 0.7
YearPublicationVenuePosition
2018 Efficient computation of the minimum of shape quality measures on curvilinear finite elements
Amaury Johnen, Christophe Geuzaine, Thomas Toulorge, Jean-François Remacle
Comput. Aided Des.1
2018 Identifying combinations of tetrahedra into hexahedra: A vertex based strategy
abstract
Indirect hex-dominant meshing methods rely on the detection of adjacent tetrahedra that may be combined to form hexahedra. In this paper we introduce an algorithm that performs this identification and builds the set H of all possible combinations of tetrahedral elements of an input mesh T into hexahedra. All identified hexahedral elements are valid for engineering analysis. The new method first computes all combinations of eight vertices whose connectivity in T matches the connectivity of a hexahedron. The subset of tetrahedra of T triangulating each potential hexahedron is then determined. Quality checks allow to early discard poor quality hexahedra and to dramatically improve the efficiency of the method. Each potential hexahedron is computed only once. Around 3 millions potential hexahedra are computed in 10 seconds on a laptop. We finally demonstrate that the set of potential hexes H built by our algorithm is significantly larger than those built using predefined patterns of subdivision of a hexahedron in tetrahedral elements.
Jeanne Pellerin, Amaury Johnen, Kilian Verhetsel, Jean-François Remacle
Comput. Aided Des.2