Cryptography, history and AI to decipher manuscripts
The ultimate aim is to produce a tool that can use the right reading grid, whether for character recognition or decoding.
Publish at October 04 2023 Updated October 04 2023
In the world of simulation, things quickly become complex as soon as you move away from simple geometries and isolated movements. Interactions between billions of elements, as in a fluid, become almost incalculable, especially when the properties of the medium change according to orientation, temperature, pressure, distance or frequency. How can we calculate what happens when a plane breaks the sound barrier, or when the plasma of a lightning bolt strikes an aircraft made of composite materials?
The answer is that models are represented using small tetrahedrons (4 faces) or hexahedrons (6 faces). The higher the resolution required, the smaller they are. So, even with supercomputers, complex simulations become technically impossible to calculate, as there are so many of these small tetrahedrons to mesh (establish what kind of relationships they have with each other).
To get around this problem, GammaO is a joint project-team with ONERA (Office national d'études et de recherches aérospatiales) which has developed a calculation method called "anisotropic adaptive meshing". Anisotropic refers to physical properties that depend on orientation.
This method of calculation makes it possible to increase the precision of the mesh where it is important for studying phenomena, adding resolution where it counts and removing it where it doesn't. This in turn reduces the cost of the mesh. This in turn reduces calculation costs and time, and makes it possible to carry out simulations that were previously impossible.
For the full article: Precision digital simulation takes off with GammaO
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