Research Program
v1.0 · 2026
Programs span quantum-informed simulation, advanced material engineering, and precision additive manufacturing. The discipline that produces them is the discipline that earns the right to publish them.
§ 01 / Premise
GS-2026 / SECT_01
Research at Grunuss is not a publication strategy. It is the verification mechanism that stands behind every claim the institution makes about energy systems, materials, and simulation. A claim without a documented method, a stated assumption set, and a declared limitation is not yet a result — it is a hypothesis with confidence attached.
The discipline applies to internal investigation and external publication equally. The same template that governs a public whitepaper governs the technical memo that precedes it. Drift between internal informality and external rigor is treated as a structural failure, not a presentation choice.
What follows on this page is the subject matter — what is studied, under what commitments, and with which partners. The process by which a result becomes a claim, and the standards every output must satisfy, are documented on Methodology.
§ 02 / Two layers
GS-2026 / SECT_02
Methodology at Grunuss has an institutional layer and a technical layer. The institutional layer is invariant — it governs how a result moves from investigation to public release regardless of the technical work that produced it. The technical layer is the computational stack that produces the work, and evolves with the science. Both layers are documented on Methodology.
§ 03 / Areas of inquiry
GS-2026 / SECT_03
R.01
Physics-constrained solver pipelines coupling AI, DFT, and matrix-product-state methods for electronic-scale prediction.
Open questions
R.02
Quantum-metal superhydrides, room-temperature superconducting candidates, and structurally stable functional materials.
Open questions
R.03
Nano-additive deposition processes whose parameters derive from upstream simulation rather than empirical tuning.
Open questions
§ 04 / Programs by phase
GS-2026 / SECT_04
Grunuss research programs as a phased roadmap — from the currently deployed research surface through stages under development, computational discovery, and deployment-scale design.
| Code | Stage | Status | Scope |
|---|---|---|---|
| 01 | PAaaS — Predictive Analysis as a Service | Active | Forward problem: predict material and system behaviour from first principles. Deployed to qualified partners as the current research surface. |
| 02 | QSaaS — Quantum Simulation as a Service | In development | Inverse problem: derive the structure that realises a target behaviour. Scalable, high-fidelity material design and discovery. |
| 03 | Energy Materials | Computational discovery | Engineered material architectures against simulation-derived targets — conductor and storage candidates under computational screening ahead of synthesis. |
| 04 | Energy Systems | Design & simulation | Deployment-scale generation, transmission, and storage architectures built on validated material specifications. |
§ 05 / Methodological commitments
GS-2026 / SECT_05
These commitments hold across every program and every output. They are postures, not procedures — the procedures are documented on Methodology.
Methodology, publication standards, and validation discipline are the visible surface of the research function. The work that produces them is continuous.
