This project is not presented as a black-box AI claim. It is a published body of cross-domain evidence showing that the same evolutionary search logic can produce strong results on scientifically hard problems.
inZOR-ND now anchors the public scientific story: active space selection validated on 8 benchmarks, supported by equally strong public results in IBM quantum hardware, universal Newton-Raphson acceleration, plasma disruption law discovery, and critical-threshold grid stability.
inZORi is the general evolutionary engine. inZOR-ND is one of its strongest public scientific validations: automatic active space selection for CASSCF / SA-CASSCF, benchmarked across dissociation curves, transition-metal chemistry, excited states, and large combinatorial spaces.
More broadly, the same engine has already been used in published studies across:
The strongest public results are not toy examples. They involve large combinatorial spaces, multi-geometry consistency, difficult convergence regimes, or real hardware constraints.
The engine is especially relevant where fixed heuristics, handcrafted priors, or standard solver setups become brittle under the same protocol.
The public evidence is not confined to one niche. The same underlying search logic appears in chemistry, quantum hardware, solvers, plasma physics, and energy systems.
| Flagship study | Published evidence | Why it is important |
|---|---|---|
| inZOR-ND active space validation | 8/8 benchmarks, 6 molecular systems, up to 430 kcal/mol advantage, only method converged on all systems under the tested workflow | Shows the engine can solve a hard scientific selection problem where orbital choice is usually fragile and manually tuned |
| IBM hardware-native QEC | 7/7 IBM hardware runs won, shallower circuits than Steane on Heron hardware | Demonstrates hardware-aware discovery rather than only simulation success |
| BAWS-NR universal | 1.59× mean speedup across 6 domains, 142,056 converged solves, convergence preserved | Shows the same engine can improve nonlinear numerical workflows, not only scientific ranking problems |
| Fusion disruption law | Cross-machine law derived from plasma current dynamics, validated on MAST, C-Mod, and HL-2A | Suggests interpretable discovery of compact scientific laws, not just black-box prediction |
| PFΔ grid studies | Critical threshold result at 99.9% vs 0% on a 1354-bus Pan-European grid benchmark | Shows relevance in operationally meaningful regimes, not just under easy conditions |
The public explanation is intentionally simple:
This page deliberately stays at brochure level. It explains enough to be credible while leaving implementation details to the published studies and reproducible test pages.
The project currently lists 20 published studies. The strongest public evidence is concentrated in flagship results that already answer the most important external questions: does it work, on what kinds of problems, and where is it better than conventional baselines?
View all research tests →zor_task_solver), domain-specific evaluators, raw results, HTML reports, and multiple DOI-backed studies.For feedback, collaboration, or technical questions:
Email: dumitru.novic@gmail.com
Researchers, technical teams, and partners can reuse or adapt this high-level presentation while keeping the published study pages as the evidence layer.