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Research Program

v1.0 · 2026

Research as
institutional
discipline.

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

The standard is what survives scrutiny.

Research at Grunuss is not a publication strategy. It is the verification mechanism by which the institution earns the right to make claims 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

Two layers, one continuous standard.

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

Three areas of inquiry.

R.01

Quantum-Informed Simulation

Physics-constrained solver pipelines coupling AI, DFT, and matrix-product-state methods for electronic-scale prediction.

Open questions

  • How far can hybrid AI/DFT/MPS solvers extend predictive fidelity at tractable cost?
  • Which uncertainty quantification regimes hold under multi-physics coupling?
  • Where do empirical surrogates remain admissible without eroding first-principles grounding?

R.02

Advanced Material Engineering

Quantum-metal superhydrides, room-temperature superconducting candidates, and structurally stable functional materials.

Open questions

  • Which hydride compositions remain metastable under realistic operating envelopes?
  • What microstructural signatures predict long-horizon stability?
  • How are simulation-derived material targets validated against measurable observables?

R.03

Precision Additive Manufacturing

Nano-additive deposition processes whose parameters derive from upstream simulation rather than empirical tuning.

Open questions

  • How is simulated-to-produced fidelity preserved across process scales?
  • Which in-process metrologies are sufficient to close the verification loop?
  • What geometry classes remain inaccessible to subtractive methods, and at what cost?

§ 04 / Active programs

GS-2026 / SECT_04

Four active programs.

Currently active Grunuss research programs. Each carries a code, a name, a status, and a defined scope.

Currently active Grunuss research programs.
CodeProgramStatusScope
Sim-BSimulation — Battery SystemsActiveSystem-level simulation of battery architectures — cell-to-pack thermal modelling, electrochemical response, and lifecycle prediction under realistic operating envelopes.
QMS-GQuantum Magnet Superconducting GeneratorIn DevelopmentGenerator architecture replacing resistive copper windings with superconducting elements — targeting near-zero I²R loss, reduced thermal load, and adaptability to variable-speed renewable sources.
RTS-WRoom-Temperature Superconducting WireIn DevelopmentConductor system engineered for lossless transmission at ambient operating conditions — addressing resistive loss, heat generation, and weight constraints of conventional copper and aluminium wiring.
QMS-BQuantum Metal Superhydride BatteryIn DevelopmentStorage architecture built on quantum metal superhydride chemistry — targeting higher energy density, longer cycle life, and reduced thermal-runaway risk relative to incumbent lithium-ion systems.

§ 05 / Methodological commitments

GS-2026 / SECT_05

Five methodological commitments.

These commitments hold across every program and every output. They are postures, not procedures — the procedures are documented on Methodology.

M.01
First-principles modelling
Quantum-mechanical foundations and conservation laws as non-negotiable constraints.
M.02
Hybrid solver composition
AI surrogates bounded by DFT and tensor-network references; never standalone.
M.03
Uncertainty quantification
Published bounds on every predicted observable; absence of bounds disqualifies a result.
M.04
Observed-vs-predicted closure
Manufactured artefacts measured against simulated intent; deviations are recorded, not concealed.
M.05
Reproducibility
Versioned inputs, solvers, and seeds; results re-executable independently of original authors.

§ 06 / Academic collaborators

GS-2026 / SECT_06

Academic collaborators.

Research at Grunuss is conducted with named academic partners. The institutional terms of these engagements are documented on Partnerships.

  • 01University of Cordoba
  • 02University of Uppsala
  • 03Cracow Institute of Technology
  • 04University of Ostrava

Research is how the institution earns the right to claim.

Methodology, publication standards, and validation discipline are the visible surface of the research function. The work that produces them is continuous.