Demo Data from SIGIR 2026 / reviewers in the wild / expert
Arnav Sastry
dblp:224/0706
· DBLP profile ↗
1ranked-venue papers
0as 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 · 1
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
1 paper |
Computer animation and physical simulation · 100% |
Topics — the 1 heaviest of 1, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer animation and physical simulation › deformable body simulation
thin shell simulation |
0.3 | 1 | 2018 | Physical simulation of environmentally induced thin shell deformation · ACM Trans. Graph. 2018 |
Methods — techniques the papers use, named apart from their topics
finite element comparison · 0.3differential geometry · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Physical simulation of environmentally induced thin shell deformationabstractWe present a physically accurate low-order elastic shell model that incorporates active material response to dynamically changing stimuli such as heat, moisture, and growth. Our continuous formulation of the geometrically non-linear elastic energy derives from the principles of differential geometry, and as such naturally incorporates shell thickness, non-zero rest curvature, and physical material properties. By modeling the environmental stimulus as local, dynamic changes in the rest metric of the material, we are able to solve for the corresponding shape changes by integrating the equations of motions given this non-Euclidean rest state. We present models for differential growth and shrinking due to moisture and temperature gradients along and across the surface, and incorporate anisotropic growth by defining an intrinsic machine direction within the material. Comparisons with experiments and volumetric finite elements show that our simulations achieve excellent qualitative and quantitative agreement. By combining the reduced-order shell theory with appropriate physical models, our approach accurately captures all the physical phenomena while avoiding expensive volumetric discretization of the shell volume. Hsiao-Yu Chen, Arnav Sastry, Wim M. van Rees, Etienne Vouga |
ACM Trans. Graph. | 2 |