Compression of Tokamak Simulation Data
Simulating the plasma inside a tokamak fusion reactor produces enormous volumes of high-dimensional data — enough that storing and moving the output becomes a bottleneck for the science. Because the underlying physics has strong low-rank structure, that data is highly compressible without sacrificing the quantities physicists care about.
This work, published in the Journal of Computational Physics, applies low-rank matrix and tensor compression to tokamak plasma simulation data, dramatically reducing its storage footprint while preserving physical fidelity in the reconstructed fields.