Discovery in minutes, not months.
Bella screens thousands of materials and protein candidates, filters through foam mechanics in microseconds, and delivers a confirmed shortlist. Bob finds the candidates. Foam mechanics eliminates 99%. The rest get simulated.
Discover, screen, confirm. One command.
53,349 candidates across 995 disease targets. 6.2 minutes.
No database match? Bella generates candidates from scratch.
Nitrogen fixation to fusion plasma. One flag to switch.
Riemann zeros to 10^8. Collatz. Custom PDE/ODE solver.
6,787 stellar candidates from 28.9M Breakthrough Listen hits.
Bob is the search layer. As one example run: queried GNoME (554,000 structures), Materials Project, NIST, and Catalysis-hub simultaneously, returning 2,944 phonon-stable materials across 96 application categories. Plug in any materials database. Bob handles the rest.
| Query Type | Speedup |
|---|---|
| Wide query | 346x |
| Tight query | 1313x |
| Batch x1000 | 101x |
Index build: 0.64s (one-time) - AVX2+ compatible, AVX-512 used automatically
The Kun Framework derives structural validity from first principles. Before any simulation runs, foam mechanics scores every candidate by whether its geometry can exist on the surface of what is physically possible.
The numbers:
Screening cost: microseconds per candidate. No DFT, no GPU.
Protein screening: 53,349 candidates screened in 6.2 minutes.
Phonon accuracy: 89% on 28-material validated set.
QCD calculator (T32): 1.71ms vs lattice QCD hours.
A phonon stability run takes 20-30 minutes per material. Foam mechanics scores the same candidate in under a millisecond at 89% accuracy. Run 5,000 candidates through foam first. Simulate the 50 that survive.
99% eliminated before the first simulation runs.
Bella uses NSMace for force evaluation. No separate install.
C++ MACE force field engine. No Python, no PyTorch, no GPU. Runs energy and force calculations on any CPU. Scales linearly with atom count.
| System size | NSMace | Python MACE (CPU) |
|---|---|---|
| 5 atoms | 39.8 ms | 400.9 ms |
| 100 atoms | 143.6 ms | timeout (>5 min) |
Foam mechanics filters ~99% of candidates before any quantum calculation runs. What used to require months on GPU clusters takes under an hour on a laptop.
| CPU | AVX2 or newer (Intel Haswell 2013+ / AMD Zen 2020+). AVX-512 used automatically when available. |
| RAM | 16 GB recommended |
| Python | 3.8+ |
| OS | Linux native. macOS native. Windows via WSL. |
| SPARC | Optional. Linux only. Not required for most runs. |
| GPU | Not required |