FEM simulation of 3D deformable solids: a practitioner's guide to theory, discretization and model reduction
By Eftychios Sifakis, Jernej Barbic. International Conference on Computer Graphics and Interactive Techniques, 2012
399 citations recorded by the source corpus.
Subfields: Computational Mechanics, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/72a9418fa75e6b6b8ea6e247cf631202e5c282a2
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Mechanics
- Ricardo Martin-Brualla
- Dan B. Goldman
- Yaser Sheikh
- Takaaki Shiratori
- Kun Zhou
- Patrick Peluse
- S. M. Seitz
- Jessica K. Hodgins
In Control and Systems Engineering
- Kun Zhou
- Takaaki Shiratori
- Patrick Peluse
- S. M. Seitz
- Yaser Sheikh
- Jessica K. Hodgins
- He Wen
- Breannan Smith
Citations in the corpus
- MakeSense: Automated Sensor Design for Proprioceptive Soft Robots (2019, neutral): “At rest, we can compute the resistance of a sensor with Pouillet’s law R 0 = ρ where l is the rest length of the sensor, A = πr 2 its cross-sectional area, and ρ the tabulated resistivity of the alloy.”
- Boundary-Aware Multidomain Subspace Deformation (2013, methodology): “It can be understood as choosing the deformation modes that increase the system’s energy least [39] with the additional imposed constraints that the boundary DOFs are fixed.”
- Nerfies: Deformable Neural Radiance Fields (2020, methodology): “We can therefore control the local behavior of our deformation through the Jacobian of T [47].”
- Constraining dense hand surface tracking with elasticity (2020, methodology): “We compute the deformation gradient F per tetrahedron as a linear function of each tetrahedron’s vertices [Sifakis and Barbič 2012].”