- Prover-Integrated Orchestration Layers (L0-L3): Goedel-Prover-V2 watchdog, BFS-Prover-V2 swarm consensus, bf4prover topology adaptation - FAMM Verilator benchmark: uniform vs preshaped delay comparison (4.4x speedup) - Swarm topological device prober: 11 agents probing traces, caps, delays, errors, vias, PDN - Spec sheet puller: 10 components with key params and topological relevance - Virtual FPGA system tests: 6/6 passed, 134K ops/s throughput - Fixed merge conflicts in AI-Newton test_experiment.ipynb
6.9 KiB
Adaptive Material Math Application Map
Status: candidate integration map
Purpose: identify where the locally adaptive flip-tile / fractal-hair / MXene-scroll concept can pay rent elsewhere in the Research Stack math.
Core Transfer
The shared primitive is:
2D controllable surface
-> local tension / strain / charge imbalance
-> curl, flip, extend, branch, or lock
-> 1D path, contact, channel, or route
That maps directly onto several existing stack surfaces:
surface state -> local transition -> routed path -> receipt
The concept should be treated as a finite local state machine first, not as unbounded morphing material.
Best Application Targets
| Target | Existing surface | How the material concept applies | First test |
|---|---|---|---|
| DynamicCanal | Semantics.DynamicCanal |
A canal section is like a scrollable sheet: pressure/stress/mismatch decides whether a lane stays flat, narrows, curls into a throat, or ruptures. | Add curlBias = stress * mismatch / capacity as a candidate canal classifier. |
| COUCH | CouchFilterNormalization, COUCH_EQUATION.md |
Near-critical flip tiles are physical COUCH oscillators: coupling, damping, hysteresis, and boundary avoidance decide whether a patch changes shape. | Treat CriticalMargin as a COUCH hysteresis gate and sweep it against F_COUCH. |
| Charged-Mass Braid Sieve | charged_mass_braid_sieve.md, braid shifters |
Fractal hairs and scrolls are path-sensitive: repeated contact/rotation separates stable grip from scar, residue, or discharge. | Model hair engagement as M(t+1) = M(t) + contact_gain - release_risk. |
| Waveprobe | waveprobe_qubo_spec.tex, Semantics.Waveprobe |
A flip-tile field is a local selection kernel: choose the tile/hair state with highest overlap to terrain/contact history. | Add contact-state QUBO features: adhesion, release, heat, fatigue, contamination. |
| Soliton / void chasing | Soliton docs, SolitonTensor, SolitonLighthouse |
A deformation wave through tiles is a soliton-like front; it chases low-risk contact basins and avoids scars. | Track tile-state fronts as discrete waves over a patch lattice. |
| Morphic DSP | MORPHIC_DSP_CONCEPT.md |
Flip-tile material is the physical analogue of virtual morphic DSP: fixed cells, changing local mode, receipt-gated collapse. | Reuse BoundaryState: independent, merged, split, fluid for tile patches. |
| PIST / N-Shell | PIST, GENSIS, shifter scripts |
Hair branch depth and tile orientation can be encoded as shell coordinates with mass-preserving local moves. | Encode {tile, hair_depth, orientation} as a PIST coordinate packet. |
| Hutter / compression | Hutter and manifold compression scripts | Scroll/hair states are adaptive dictionaries for physical/contact patterns: reuse successful morphology memes as compressed route priors. | Compare repeated terrain/contact traces with and without morphology-meme reuse. |
| Cotranslational folding | CodonPeptideConsistency.lean, codon_rl_v2_summary.md |
"Structure through time before geometry" mirrors tile/hair extension: local sequence of flips matters before final shape. | Treat tile updates as exposure windows W_t, not a static final geometry. |
| Neural type eigenvector coverage | NEURAL_TYPE_EIGENVECTOR_COVERAGE.md |
Biological morphology features can rank which hair/tile patterns are plausible and efficient. | Add gecko/cilia/setae/skin texture features as external coverage nodes. |
| Recursive branch cuts | recursive_branch_cut_self_similarity.md |
Scroll formation is a finite, materials-grounded branch cut: flat sheet crosses a curvature threshold and commits to a new topology. | Use scroll onset as a concrete branch-cut analogy with no cosmology claim. |
| Structural eFuse / SDR void hash | Semi-jack, patent/CAD, verification docs | SLS tubules, magnetic labyrinths, doped matrices, and piezo/ME capsules turn structural state into measurable RF/flux/electrical receipts. | Classify healthy vs failed tubule states using VoidHash, flux_delta, and PercolationMargin. |
Specific Equations To Try
1. Scroll Bias For DynamicCanal
ScrollBias(section) =
stress
* mismatch
* pressure
/ (1 + capacity + heat)
Interpretation:
| Regime | Meaning |
|---|---|
| low bias | flat transport; keep lane/canal unchanged. |
| medium bias | local curl; narrow into directed route. |
| high bias | throat candidate; use receipt gate. |
| extreme bias | rupture/quarantine. |
2. Hair Contact Mass For Braid Sieve
ContactMass(t+1) =
ContactMass(t)
+ adhesion_gain
+ microhook_gain
- release_risk
- fouling_risk
- damage_risk
Promotion:
promote_contact iff
ContactMass >= contact_floor
and release_risk <= release_ceiling
and heat <= heat_ceiling
3. Tile-State QUBO For Waveprobe
Q_ij =
terrain_match_i * terrain_match_j
+ release_compat_i_j
- heat_conflict_i_j
- fatigue_conflict_i_j
The selected state maximizes:
x^T Q x
subject to:
detachability_ok
heat_ok
critical_margin_ok
4. COUCH Critical Margin
PatchPressure =
F_COUCH
+ U_rot
+ ContactAuthority
- CriticalMarginPenalty
- DamageRisk
Interpretation:
| Output | Action |
|---|---|
| local | use current tile/hair meme. |
| atlas | search morphology atlas. |
| reject | hold/scar/quarantine. |
5. Cotranslational Tile Windows
SkinState_t = update(SkinState_{t-1}, TileWindow_t)
Where:
TileWindow_t = (tile_{t-k}, ..., tile_t)
This mirrors the codon result:
local updates influence structure through time before final geometry
What To Avoid
Do not claim:
- graphene or MXene scrolls are already proven robot skin components
- nanoscale effects carry the main load
- the material changes shape for free
- a gecko anchor solves all surfaces
- a scroll analogy proves N-space equations
Allowed claim:
layered microstructured surfaces provide a grounded model for local
state transitions, contact multiplication, and 2D-to-1D routing under strain
Immediate Next Artifact
The cleanest next implementation is a small JSONL schema:
{"kind":"tile_state","id":"tile:0:0","phase":"near_critical","hair_depth":2,"orientation":3}
{"kind":"contact_event","tile":"tile:0:0","terrain":"rough","adhesion":0.61,"release_risk":0.12,"heat":0.04}
{"kind":"transition","src":"tile:0:0:flat","dst":"tile:0:0:hair_extend","receipt":"sensor-window-hash"}
Then run:
- COUCH pressure scoring over tile states.
- Waveprobe/QUBO selection over candidate contact memes.
- FAMM scar storage for failed release, fouling, or heat events.
Recovered Session Material Addendum
See RecoveredSessionMaterialConcepts.md for the recovered material cluster
from the local chat transcript: MXene nanoscrolls, charge-flow shaping,
resonant SLS tubules, conductive valence matrices, magnetic labyrinths,
magnetoelectric laminate capsules, piezo alerts, ferrite/carbon SLS doping, and
SDR resonant void readout.