Future Pursuits

Plasma simulation, Vlasov solvers, 6D kinetic modeling

HolonomiX began as a breakthrough in structural representation for computational physics. The same structural mathematics that represents enterprise data in compact form also represents 6D phase-space distributions. Plasma kinetic simulations that require petascale resources on dense grids can run on a single GPU when the data is stored structurally.

Tokamak modeling, stellarator optimization, confinement prediction

Fusion reactor design depends on simulating plasma behavior across extreme parameter ranges. Current methods require supercomputers for each configuration. Structural representations reduce the computational cost of these simulations by orders of magnitude, making it feasible to sweep design spaces that were previously out of reach.

State estimation, contingency analysis, real-time optimization

Electrical grids generate massive state vectors that must be analyzed in real time. Structural representation compresses grid state into compact representations that support sub-second contingency analysis across thousands of scenarios simultaneously. The same math, applied to a different domain.

Radar, sonar, multi-sensor fusion, electronic warfare

Sensor arrays produce high-dimensional data streams that must be processed at the edge with limited compute. Structural compression enables real-time signal processing on compact hardware. Multi-sensor fusion becomes a structural operation rather than a pipeline of format conversions.

Climate modeling, materials science, drug discovery

Any computational workload that operates on high-dimensional data is a candidate for structural compression. The Atlas classifies workloads systematically so we can predict effectiveness before committing compute resources. Climate models, molecular dynamics, and protein folding all contain compressible structure.