Numerical Proof-of-Concept
Can the proposed principle work inside a defensible model?
Details →INDEPENDENT COMPUTATIONAL R&D / KAZAKHSTAN
Fieldmind
Lab
Numerical testing for non-standard engineering and physical hypotheses
We build purpose-made models, run controlled experiment campaigns, and establish what actually follows from the equations—including negative results and validity boundaries.
01 / CORE SERVICES
From hypothesis to testable evidence
The core deliverable is a reproducible numerical proof-of-concept with explicit assumptions, controls, negative findings, and a bounded validity region.
Custom Computational Modelling
A model for a non-standard problem without a ready-made package.
Details →Stability, Sensitivity and Failure Analysis
Where does the system remain useful, degrade, or collapse?
Details →Experimental Validation Planning
A handoff from numerical PoC to a physical test.
Details →CLAIM BOUNDARY
A numerical result is not a physically validated technology. It establishes model-level behaviour under stated assumptions and does not replace independent laboratory validation.
02 / PUBLIC RESEARCH
Selected research
18 public studies across six programmes. The site distinguishes theoretical frameworks, simulations, numerical PoCs, and laboratory validation.
Numerical proof-of-concept
M2: Phase-Guided Regeneration under Dynamic Damage and Resource Constraints
A falsifiable experiment chain extends phase-guided localisation to irregular geometry, target identity, heterogeneous transport, repeated damage, safety regions, latency, finite resources, and scaling.
- Series
- M2.1–M2.10v2
- DOI
- 10.5281/zenodo.20526266
Numerical proof-of-concept
T1: Phase-Guided Graphene Thermal Interface
A claim-bounded thermal evidence chain tests phase-guided redistribution, controls, tensor direction, action-normalised policies, and a final topology comparison.
- Series
- T1.1–T1.10 · 88 figures
- DOI
- 10.5281/zenodo.21604565
Numerical proof-of-concept
E2: Phase-Guided Li-FLG Accumulator
A phenomenological Li–few-layer-graphene effective medium is used to test guided storage, release, transport, stress response, cycling, steering, and reproducibility.
- Series
- E1–E9 · five seeds · 20 cycles · 1536/2048/4096 checks
- DOI
- 10.5281/zenodo.20323370
Numerical proof-of-concept
S1: Phase-Adaptive Radiation Shield
A phenomenological shield-control model compares unshielded, passive, adaptive, delayed, and phase-advanced responses under synthetic GCR-like stress.
- Series
- S1.1–S1.9 · passive/adaptive · geometry · latency · phase advance
- DOI
- 10.5281/zenodo.20492784
03 / METHOD
Evidence before interpretation
A favourable plot proves little by itself. Balance, controls, robustness, and reproducibility come before a bounded conclusion.
Define the falsifiable question
Translate the idea into state variables, observables, assumptions, and an outcome that can fail.
Build the smallest defensible model
Choose equations, discretisation, boundaries, initial conditions, and diagnostics appropriate to the question.
Establish controls and balance checks
Add passive, null, negative, ablation, conservation, and numerical-validity controls before interpreting a favourable branch.
Run a structured experiment campaign
Sweep parameters, seeds, perturbations, and resolutions; retain negative and failure results.
PROJECT ENQUIRY
Have a hypothesis that needs more than discussion?
Initial assessment starts from a non-confidential brief. Response within 3 working days.