Demo Data from EDBT 2026 / reviewers in the wild / expert
Konstantinos Stamatelos
dblp:220/8345
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021
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 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer animation and physical simulation › natural phenomena simulation
combustion simulation |
0.6 | 1 | 2022 | Physics-Based Combustion Simulation · ACM Trans. Graph. 2022 |
Computer animation and physical simulation
fluid simulation |
0.6 | 1 | 2022 | Physics-Based Combustion Simulation · ACM Trans. Graph. 2022 |
Methods — techniques the papers use, named apart from their topics
thin flame model · 0.6semi-lagrangian time integration · 0.6multigrid solver · 0.6adaptive octree grid · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Physics-Based Combustion SimulationabstractWe propose a physics-based combustion simulation method for computer graphics that extends the mathematical models of previous efforts to automatically capture more realistic flames as well as temperature and soot distributions. Our method includes mathematical models for the thermodynamic properties of real-world fuels which enables, for example, the prediction of adiabatic flame temperatures. We couple this with a model of heat transfer that includes convection, conduction as well as both radiative cooling and heating. This facilitates among other things ignition at a distance without heating up the intermediate air. We model the combustion as infinitely fast chemistry and couple this with the thin flame model, spatially varying laminar burning velocities based on local species and empirical measurements, physically validated soot formation and oxidation as well as water vapor production and condensation. We implement this on adaptive octree-like grids with collocated state variables, a new SBDF2-derived semi-Lagrangian time integrator for velocity, and a multigrid scheme used for multiple solver components. In combination, these models enable us to simulate deflagration phenomena ranging from small scale premixed and diffusion flames to fireballs and subsonic explosions which we demonstrate by several examples. In addition, we validate several of the results based on reference footage and measurements and discuss the relation of prevalent heuristic techniques arising in visual effects production to some of the physics-based models we propose. Michael Bang Nielsen, Morten Bojsen-Hansen, Konstantinos Stamatelos, Rook Bridson |
ACM Trans. Graph. | 3 |