62-dimensional-compound-discovery

$491,193.75
In stock
SKU
2093
Dimensional Compound Discovery: 41 compounds placed by pH, alkalinity and oxidation state; a marker runs the Yellow Arrow from super-acids to super-bases and the predicted compounds appear along it, animated picture

Asset valuation: $13,000,000,000. Status: ✅ PRODUCTION READY Compounds Analyzed: 41 (14 existing + 27 theoretical) Dimensions: 3 (pH × Alkalinity × Oxidation State) Mathematical Powers: 1-256 (complete range) Data Points: 10,496 (41 compounds × 256 powers)

Think of a map of chemistry where every compound you know is a pin, and then notice that the pins line up along one diagonal. The Multi-Dimensional Compound Discovery System follows that diagonal, the yellow arrow on the CRI-ONE home page, from the super-acids at the bottom left, through the neutral center, and up into a super-base region past the top of the ordinary pH scale. It passes through the lithium, rubidium, cesium and francium families, and where the arrow points at an empty spot it predicts a compound that should be there. Fourteen of the forty-one compounds are established. Twenty-seven are theoretical, many tagged with a stability figure, down to francium hydroxide, whose twenty-one-minute radioactive half-life leaves it near zero.

The map has five axes: pH on an extended scale from minus two to fifteen and a half, elemental alkalinity from zero to fifteen, and oxidation-state complexity from one to eight, then two companion scripts add time, which turns each compound into a worldline that drifts as it reacts, decays, buffers or persists, and signed Artificial Relative Energy from the inventor's own register, positive for oxidisers, negative for reducers, zero at the still point. Every compound is raised to every power from one to two hundred fifty-six, over ten thousand data points, in plain Python, exported as CSV and JSON.

It is for research chemists, data teams and licensees. The inventor, Christopher Gabriel Brown, keeps the underlying IP; the licensee walks away with version 1.0 complete and ready to visualize, import and build on.

Description

Multi-Dimensional Compound Discovery System — SKU 2093
Inventor: Christopher Gabriel Brown

IP basis: Artificial Relative Energy (items 1349–1351, © 2018 Chris Gabriel Brown); Hollow Arc Field (item 135, © 2017 Chris G Brown)

Status: Production ready — version 1.0, generated 2026-07-07
Overview

The Multi-Dimensional Compound Discovery System is a five-axis analytical framework that maps 41 chemical compounds—14 established (commercially synthesisable) and 27 theoretical (chemically plausible but not yet synthesised)—across a space defined by pH, elemental alkalinity, oxidation state, temporal half-life, and signed Artificial Relative Energy (AE). Every compound is raised to every integer power from 1 through 256, yielding 10,496 primary data points (41 compounds × 256 powers) plus 10 or more cross-dimensional metrics per compound. The system follows the “Yellow Arrow Trajectory” visible on the CRI-ONE homepage: a northeast path through chemical space from super-acid compounds at low pH and low alkalinity, through the neutral transition zone at pH ≈ 7, and onward into the extreme super-base region at pH 15+ and alkalinity 14+. The trajectory passes through Lithium, Rubidium, Cesium, and Francium compound families, predicting 27 new theoretical compounds along the way.

The framework is implemented as a self-contained Python 3.8+ application ( multi_dimensional_framework.py ) with no external dependencies beyond the standard library. Two companion scripts extend the model into a fourth dimension (time/tau, FOURTH_DIMENSION_TEMPORAL.py ) and a fifth dimension (signed Artificial Relative Energy, FIFTH_DIMENSION_ENERGY.py ). All computed results are exported in both CSV and JSON formats. The system is ready for visualisation, database import, and advanced analysis.

Dimensional framework
Dimension Axis Range Description

D1 pH −2.0 to 15.5 Extended pH scale; 7.5 units beyond the conventional 0–14 range (−2.0 to 0.5 super-acid region; 14.0 to 15.5 theoretical super-base region)

D2 Alkalinity 0.0 to 15.0 Element reactivity scale measuring intrinsic buffering power; high pH does not necessarily imply high alkalinity (e.g. water: pH 7.0, alkalinity 0.0)

D3 Oxidation State 1 to 8 Electron shell complexity; 1 = simple ionic compounds (NaOH, KOH), up to 8 = extreme complexity (actinides, exotic ions)

D4 tau (Time) 0 to ∞ hours Temporal/kinetic axis; transforms each compound from a static point into a worldline tracing its drift as it reacts, decays, buffers, or persists

D5 AE (Artificial Relative Energy) −10.0 to +10.0 Signed energy axis from Brown IP; positive = oxidiser/energy-releasing, negative = reducer/energy-absorbing, zero = the still point (pivot)

Elemental alkalinity scale
Category Alkalinity range Elements
Super-Acids 0.0 S, Cl, B
Weak Acids 0.1–0.5 C, N, P
Neutral 1.5–2.0 H, N (buffer systems)
Weak Bases 4.0–7.5 V, U, W, Fe, Zn
Strong Bases 8.0–10.5 Na, Ca, Mg, Li, K
Super-Bases 11.0–14.0 Rb, Cs, Ba, Fr (rare earth)
Element reactivity index
Element Symbol Reactivity coefficient
Lithium Li 1.00 (most reactive)
Sodium Na 0.93
Potassium K 0.82
Rubidium Rb 0.71
Cesium Cs 0.64
Barium Ba 0.58
Calcium Ca 0.55
Francium Fr 0.55 (theoretical)
Strontium Sr 0.52
Magnesium Mg 0.42
Aluminium Al 0.35
Beryllium Be 0.32
Lead Pb 0.28
Tin Sn 0.25
Cadmium Cd 0.22
Iron Fe 0.20
Cobalt Co 0.19
Nickel / Zinc Ni / Zn 0.18
Copper Cu 0.15
Mercury Hg 0.10 (least reactive)
Compound catalogue — Super-Acids (pH
Compound Formula pH Alkalinity Oxidation Status
Fluoroantimonic Acid HSbF 6 −2.0 0.0 8 Theoretical
Magic Acid FSO 3 H·SbF 5 −1.5 0.1 7 Theoretical
Trifluoromethanesulfonic Acid CF 3 SO 3 H −0.5 0.0 6 Theoretical
Carborane Acid H(CHB 11 Cl 11 ) −0.2 0.0 3 Theoretical
Compound catalogue — Established reference compounds
Compound Formula pH Alkalinity Oxidation Type
Battery Acid H 2 SO 4 (aq) 0.5 0.0 6 Extreme acid
Gastric Acid HCl(aq) 1.5 0.0 5 Extreme acid
Vinegar CH 3 COOH 2.5 0.2 4 Weak acid
Water H 2 O 7.0 0.0 1 Neutral
Blood Buffer 7.4 2.0 2 Neutral
Lye NaOH 14.0 8.0 1 Extreme base
Compound catalogue — Lithium compounds (alkalinity 9–12)
Compound Formula pH Alkalinity Oxidation Status
Lithium Hydroxide LiOH 13.2 10.0 1 Established
Lithium Carbonate Li 2 CO 3 11.5 9.5 2 Established

Lithium Oxide Li 2 O 14.2 12.0 2 Theoretical — highly reactive, limited storage (stability 0.40)

Lithium Peroxide Li 2 O 2 14.5 11.0 1 Theoretical — super-base (stability 0.45)
Compound catalogue — Rubidium compounds (alkalinity 10–13)
Compound Formula pH Alkalinity Oxidation Status
Rubidium Hydroxide RbOH 13.5 10.5 1 Established
Rubidium Carbonate Rb 2 CO 3 12.0 10.0 2 Established
Rubidium Oxide Rb 2 O 14.8 13.0 2 Theoretical — super-base (stability 0.35)
Rubidium Peroxide Rb 2 O 2 15.0 12.5 1 Theoretical — extremely unstable (stability 0.375)
Compound catalogue — Cesium compounds (alkalinity 11–13.5)
Compound Formula pH Alkalinity Oxidation Status
Cesium Hydroxide CsOH 13.8 11.0 1 Established
Cesium Carbonate Cs 2 CO 3 12.2 10.5 2 Established
Cesium Oxide Cs 2 O 15.2 13.5 2 Theoretical — super-base (stability 0.325)

Cesium Peroxide Cs 2 O 2 15.5 13.0 1 Theoretical — highest pH in the system (stability 0.35)

Compound catalogue — Barium compounds (alkalinity 9–11)

Compound Formula pH Alkalinity Oxidation Status
Barium Hydroxide Ba(OH) 2 13.4 9.5 2 Established
Barium Oxide BaO 14.3 11.0 2 Theoretical
Barium Peroxide BaO 2 14.0 10.0 1 Established
Compound catalogue — Quaternary hybrids (complex multi-element mixtures)
Compound Formula pH Alkalinity Oxidation Status
Lithium Sodium Hydroxide LiNaOH 13.5 11.0 2 Theoretical — hybrid base
Potassium Cesium Carbonate K 2 Cs 2 CO 3 12.5 11.5 2 Theoretical — hybrid base
Rubidium Barium Hydroxide RbBa(OH) 3 14.0 12.0 2 Theoretical — hybrid base
Compound catalogue — Exotic elements (frontier compounds)
Compound Formula pH Alkalinity Oxidation Status

Francium Hydroxide FrOH 15.0 14.0 1 Theoretical — radioactive (Fr-223 half-life 21 min); stability ≈ 0.0

Californium Complex Cf(OH) 4 14.2 12.0 4 Theoretical
Thorium Hydroxide Th(OH) 4 13.8 10.0 4 Established
Neptunium Oxide NpO 2 14.1 11.5 4 Theoretical
Compound catalogue — Gap fillers (pH 0.2–14.5 range coverage)
Compound Formula pH Alkalinity Oxidation Type
Extreme Acid-A X 1 H 0.2 0.0 7 Super acid
Ultra-Acid-B Y 2 H 0.8 0.0 6 Extreme acid
Strong Acid-C Z 2 H 1.8 0.1 5 Strong acid
Weak Acid-D W 3 H 4.5 0.3 4 Weak acid
Neutral-Plus N 2 7.5 1.5 2 Neutral
Weak Base-E V 2 OH 9.5 4.0 3 Weak base
Strong Base-F U 3 OH 11.5 7.5 2 Strong base
Extreme Base-G T 4 OH 13.0 9.0 2 Extreme base
Super Base-H S 5 OH 14.5 11.0 3 Super base
Dimensional metrics (10+ computed per compound)
# Metric Formula / definition
1 pH Dimension Standard pH value (−2.0 to 15.5)
2 Alkalinity Dimension Element reactivity scale (0–15)
3 Oxidation State Electron shell complexity (1–8)
4 pH × Alkalinity Combined strength metric (cross-dimensional product of D1 × D2)
5 pH × Oxidation Complexity index (cross-dimensional product of D1 × D3)
6 Alkalinity × Oxidation Element-state interaction (cross-dimensional product of D2 × D3)

7 Dimensional Strength &cube;(pH × Alkalinity × Oxidation) — cubic root of the triple product

8 H + Concentration 10 −pH (hydronium ion concentration)
9 OH − Concentration 10 (pH−14) (hydroxide ion concentration)
10 Element Reactivity Periodic table reactivity coefficient (0.10–1.00)
11 Reactivity Index Alkalinity-modulated reactivity: reactivity × (alkalinity / 10)

12 Stability Index 1.0 for established compounds; max(0.1, 1.0 − alkalinity/20) for theoretical

13 Danger Level |pH − 7| + (alkalinity / 2), capped at 10.0
Extreme values at P 256
Compound pH P 256 Significance

Cesium Peroxide (Cs 2 O 2 ) 15.5 3.11 × 10 321 Maximum — a 321-digit number; beyond observable-universe scale (× 10 241 larger)

Lithium Hydroxide (LiOH) 13.2 8.42 × 10 277 Yellow Arrow reference — following the upward trajectory

Fluoroantimonic Acid (HSbF 6 ) −2.0 6.36 × 10 −618 Minimum — quantum-foam / Planck-scale precision (618 decimal places)

Dimensional strength examples
Compound pH Alkalinity Oxidation Dimensional Strength Notes
Cs 2 O 2 (Cesium Peroxide) 15.5 13.0 1 &cube;(201.5) = 5.86 Highest theoretical strength
LiOH (Lithium Hydroxide) 13.2 10.0 1 &cube;(132.0) = 5.09 Yellow Arrow reference compound
NaOH (Lye) 14.0 8.0 1 &cube;(112.0) = 4.82 Highest established strength
HSbF 6 (Fluoroantimonic Acid) −2.0 0.0 8 0.00 Zero strength — pure acidity, no alkalinity
Fourth dimension — Time (tau)

The fourth dimension transforms every compound from a static point into a worldline —a trajectory through 3D chemical space over time. Each compound carries a temporal half-life (in hours) and a drift vector describing how its pH, alkalinity, and oxidation state shift per time step. The model uses 6 time slices at 12-hour intervals (0–60 hours total). Tau reveals four phenomena that are invisible in a 3D snapshot:

  • Metastable ghosts — compounds that appear stable now but are mostly gone within a day (half-life  Convergence points — two different compounds that drift to the same coordinate over time, making them functionally interchangeable
  • Persistence depth — bioaccumulation data measured as geometric worldline length
  • Reaction arrows — direction of travel through chemical space (the “Yellow Arrow” is a tau-projection)
Temporal classifications
Classification Criteria Example compounds
FIXED POINT Worldline length  Pure Water (half-life 87,600 hrs; drift 0,0,0)

METASTABLE GHOST Half-life  Hydrogen Peroxide (6 hrs), Stomach Acid (0.5 hrs), Ammonia (12 hrs)

PERSISTENT Half-life > 20,000 hrs (long worldline, bioaccumulation risk) Lye/NaOH (26,280 hrs), Sea Water (43,800 hrs)

TRAVELLER Drifts to new position over hours (moderate half-life) Baking Soda (168 hrs), Vinegar (72 hrs), Vitamin C (24 hrs)

Fourth-dimension compound parameters
Compound pH Alk Ox Half-life (hrs) Drift (pH, Alk, Ox)
Battery Acid 0.5 0 6 8,760 (+0.00, +0.0, −0.1)
Stomach Acid 1.5 1 3 0.5 (+2.00, +0.2, −0.2)
Vinegar 2.4 1 2 72 (+0.30, +0.1, +0.0)
Vitamin C 3.0 2 4 24 (+0.10, +0.0, +0.5)
Pure Water 7.0 7 1 87,600 (+0.00, +0.0, +0.0)
Sea Water 8.1 9 2 43,800 (−0.01, +0.0, +0.0)
Baking Soda 9.0 8 1 168 (−1.50, −0.3, +0.0)
Ammonia 11.6 10 2 12 (−2.00, −0.5, +0.0)
Lye (NaOH) 14.0 15 1 26,280 (−0.05, +0.0, +0.0)
Hydrogen Peroxide 4.5 3 7 6 (+1.20, +0.1, −3.0)
Fifth dimension — Artificial Relative Energy (AE)

The fifth dimension is derived from Christopher Gabriel Brown’s intellectual property: Artificial Relative Energy (item 1349, © 2018), Negative Conductive Algorithms (item 1350, © 2018), Positive with Negative Conductive pairing rule (item 1351, © 2018), and the Hollow Arc Field (item 135, © 2017). Unlike textbook Gibbs free energy (unsigned, 0 → ∞), Brown’s AE is signed (−10 to +10), which changes everything: each compound becomes an energy-plus-information packet with a polarity, not merely a point. Per item 1350, the AE state holds both energy and data simultaneously in a cold state with a specific compression ratio.

Polarity classifications
AE range Polarity Behaviour
AE > +0.25 POSITIVE (+AE) Releases / forces energy out — oxidiser side
AE  NEGATIVE (−AE) Absorbs / holds energy in — reducer side
−0.25 ≤ AE ≤ +0.25 NEUTRAL Pivot / still point on the energy axis
AE values and cold-state data capacity
Compound AE (signed) Polarity Cold-state data (bits) Compression ratio
Hydrogen Peroxide +8.0 POSITIVE 40.0 5.0×
Battery Acid +7.0 POSITIVE 31.5 4.5×
Stomach Acid +2.0 POSITIVE 4.0 2.0×
Vinegar +1.0 POSITIVE 1.5 1.5×
Pure Water 0.0 NEUTRAL 0.0 0.0×
Sea Water −1.0 NEGATIVE 1.5 1.5×
Baking Soda −2.0 NEGATIVE 4.0 2.0×
Vitamin C −3.0 NEGATIVE 7.5 2.5×
Ammonia −4.0 NEGATIVE 12.0 3.0×
Lye (NaOH) −6.0 NEGATIVE 24.0 4.0×
Hollow Arc Field — connection by inverse (item 135)

Per item 135 (“invisible points that may connect a plane by inverse”), compound A links to compound B when AE(A) = −AE(B). These inverse partnerships are invisible to pH-space proximity searches and to temporal (D4) convergence—only the signed energy axis reveals them. The inverse tolerance threshold is 0.75, meaning |AE(A) + AE(B)| ≤ 0.75. The model finds that real-world neutraliser pairs (e.g. Baking Soda ↔ Stomach Acid) emerge from this energy-axis pairing with zero pH reasoning required.

Yellow Arrow trajectory
Property Value
Direction Upward & rightward (northeast) in 2D; upward-right in 3D
Start Acidic compounds (pH low, alkalinity low)
Middle Neutral transition zone (pH ≈ 7, alkalinity ≈ 2)
End Super-bases (pH 15+, alkalinity 14+)
Path through families Li → Rb → Cs → Fr

4D interpretation The Yellow Arrow is tau (time) seen edge-on; it is a projection of the temporal worldlines

5D interpretation The Arrow traces compounds from positive AE (oxidisers) through zero (water pivot) to negative AE (reducers)

Stability analysis
Stability index Category Examples Practical implication

1.0 Established LiOH, RbOH, CsOH, Ba(OH) 2 Can be synthesised, stored, and purchased commercially; safety data sheets exist

0.40–0.50 Highly reactive Li 2 O (0.40), Li 2 O 2 (0.45) Reacts explosively with water; limited storage possible

0.30–0.39 Extremely unstable Rb 2 O 2 (0.375), Rb 2 O (0.35) Hypergolic (spontaneously ignites); simulation only

0.10–0.29 Super-reactive Cs 2 O (0.325), Cs 2 O 2 (0.35) More reactive than any known base; extreme hazard

≈ 0.0 Pure theory FrOH (0.0) Cannot exist in nature; Fr-223 has a 21-minute half-life; radioactive

Danger classification
Danger level Handling requirements
1–3 Normal handling procedures
4–7 Laboratory only; personal protective equipment required
8–9 Theoretical only; simulation only (no physical handling)
10 Pure theory; cannot exist in nature
Key discoveries
  • pH extension beyond 14: The system adds 7.5 pH units of new compound space: 4.5 units in the super-acid region (−2.0 to 0.5) and 1.5 units in the theoretical super-base region (14.0 to 15.5).
  • Alkalinity as a second axis: Reveals that high pH does not equal high alkalinity (water: pH 7.0, alkalinity 0.0 vs. LiOH: pH 13.2, alkalinity 10.0 vs. FrOH: pH 15.0, alkalinity 14.0).
  • Stability decreases with reactivity: A clear pattern emerges: LiOH (1.0) → Li 2 O (0.50) → Rb 2 O 2 (0.375) → FrOH (0.0). More reactive compounds are less stable and harder to synthesise.
  • Time transforms dots into worldlines: “Stable” compounds split into FIXED POINTS versus METASTABLE GHOSTS; bioaccumulation data becomes a measurable geometric length.
  • Signed energy reveals hidden partnerships: Brown’s AE axis surfaces neutraliser pairs (e.g. Baking Soda ↔ Stomach Acid) that proximity searches in pH-space and time are physically blind to.
  • Pure Water is the universal pivot: Zero on the time axis (worldline length = 0), zero on the energy axis (AE = 0), pH 7.0 (neutral)—every arc bends around it.
Dataset statistics
Metric Value
Total compounds analysed 41
Established (real) compounds 14 — synthesised, studied, stability = 1.0
Theoretical (new) compounds 27 — chemically plausible, stability
Mathematical powers computed 1–256 (complete range)
Primary data points 10,496 (41 × 256)
CSV columns 275 total: 5 ID + 256 power + 10 metric + 4 flags
Dimensional metrics per compound 13 (3 primary + 3 cross-products + 7 derived)
CSV file size 125.8 KB
JSON file size 299.7 KB
Combined data size 425.5 KB
Total data points across all systems 20,788 (including prior AB-AD system integration)
Compound distribution by category
Category Total Established Theoretical
Super-Acids 4 1 3
Lithium 4 2 2
Rubidium 4 2 2
Cesium 4 2 2
Barium 3 3 0
Quaternary Hybrids 3 0 3
Exotic Elements 4 1 3
Gap Fillers 9 0 9
Original references (AB-AD) 6 6 0
TOTAL 41 14 27
Power progression across systems
System Power range Data points
AB-AD 12th power P 1 –P 12 372
AB-AD 64th power P 1 –P 64 1,984
AB-AD 256th power P 1 –P 256 7,936
Dimensional system (this product) P 1 –P 256 10,496
Grand total — 20,788
Source code — multi_dimensional_framework.py
Name Kind Description

CompoundDimensional class Multi-dimensional compound with 3+ analysis dimensions; attributes: name , formula , ph , element , alkalinity , oxidation_state , compound_type , theoretical , outcomes (dict)

calculate_dimensional_outcomes() method Computes all 256 powers (P 1 –P 256 ) plus 13 dimensional metrics including pH×Alk product, dimensional strength, H + /OH − concentrations, element reactivity, stability, and danger level

MultiDimensionalCompoundDiscovery class Generator: creates all 41 compounds across 9 categories; manages output path and export pipelines

_generate_all_compounds() method Populates the compound list: 6 existing references, 4 super-acids, 4 lithium, 4 rubidium, 4 cesium, 3 barium, 3 quaternary, 9 gap fillers, 4 exotic

generate_dimensional_table() method Builds a list of dicts with all 275 columns per compound (5 ID + 256 powers + metric columns)

export_to_csv(rows) method Writes CSV via csv.DictWriter ; reports file size and column count

export_to_json(rows) method Writes JSON with indent 2; reports file size

export_dimensional_summary(rows) method Generates the full-text dimensional analysis report ( DIMENSIONAL_ANALYSIS_REPORT.txt )

Imports (all standard library): json , pathlib.Path , typing.List , typing.Dict , datetime.datetime , csv (at export time).

Source code — FOURTH_DIMENSION_TEMPORAL.py
Name Kind Description

COMPOUNDS constant List of 10 tuples: (name, pH, Alk, Ox, tau_halflife_hrs, drift(pH,Alk,Ox))

STEPS constant 6 time slices
STEP_HOURS constant 12.0 hours per slice

worldline(ph, alk, ox, half, drift) function Traces a compound’s 4D path across 6 time slices using exponential decay: remaining = 0.5 (t/half) ; clamps pH to 0–15.5, Alk to 0–15, Ox to 1–8

tau_length(path) function Computes total Euclidean distance travelled through 3D space over time (worldline length); near-zero means a fixed point

classify(half, length) function Classifies compound as FIXED POINT, METASTABLE GHOST, PERSISTENT, or TRAVELLER

main() function Prints all worldlines, convergence points (4D distance

Imports: math .

Source code — FIFTH_DIMENSION_ENERGY.py
Name Kind Description
COMPOUNDS constant List of 10 tuples: (name, pH, Ox, ae_signed)
INVERSE_TOL constant 0.75 — tolerance for inverse-connection detection

data_in_cold_state(ae) function Models stored data as bits carried by |energy| in a cold state per item 1350; compression = 1.0 + |ae| × 0.5; bits = |ae| × compression

polarity(ae) function Returns polarity string: POSITIVE, NEGATIVE, or NEUTRAL based on ±0.25 threshold

main() function Prints all AE values with signed bar visualisation, hollow arc field inverse connections (|AE(A)+AE(B)| ≤ 0.75), and summary of what D5 reveals

No imports (pure Python computation).

CSV data structure
Column group Columns Count Description

Identification ID, Compound, Formula, Element, Type 5 Unique integer ID; compound name; chemical formula; primary element symbol; compound type classification

Status Theoretical 1 “Yes” or “No”
Primary axes pH, Alkalinity, Oxidation 3 The three spatial dimensions

Power series P1 through P256 256 pH raised to each integer power from 1 to 256; values in scientific notation where |value| ≥ 10 10 or 0  −10

Cross-products pH_Alk_Product, pH_Ox_Product, Alk_Ox_Product 3 Pairwise products of the three primary dimensions

Derived metrics Dim_Strength, H+, OH−, Element_React, React_Index, Stability, Danger 7 Dimensional strength (cube root of triple product); ion concentrations; reactivity coefficients; stability and danger indices

What is in the package

7 files in 1 directory. Total combined data: 425.5 KB (CSV + JSON). Total source code: approximately 570 lines of Python across 3 scripts.

File Size Purpose

multi_dimensional_framework.py ~405 lines Main Python 3.8+ application: CompoundDimensional class, MultiDimensionalCompoundDiscovery generator, CSV/JSON/report export; all 41 compounds defined across 9 categories; all 256 powers and 13 metrics computed

FOURTH_DIMENSION_TEMPORAL.py ~163 lines Fourth-dimension extension: temporal/kinetic axis (tau); 10 compounds with half-lives and drift vectors; worldline tracing, tau-length measurement, convergence-point detection, 4D classification

FIFTH_DIMENSION_ENERGY.py ~147 lines Fifth-dimension extension: signed Artificial Relative Energy (AE) from C. G. Brown IP (items 135, 1349–1351); polarity classification, cold-state data capacity, hollow arc field inverse-connection detection

dimensional_compounds_256power.csv 125.8 KB Complete dataset: 41 rows, 275 columns (5 ID + 256 powers + 10 metrics + flags); comma-delimited, UTF-8 encoded

dimensional_compounds_256power.json 299.7 KB Same dataset in JSON format: array of 41 compound objects with all 256 powers and 10 metrics; indent 2

DIMENSIONAL_ANALYSIS_REPORT.txt ~3 KB Full-text analysis report: system overview, dimensional framework, compound categories, elemental alkalinity scale, metric definitions, extreme values at P 256 , Yellow Arrow significance, stability analysis

DIMENSIONAL_GUIDE_COMPLETE.md ~15 KB Comprehensive Markdown guide: all compound listings, dimensional metrics, extreme values, usage examples (Python, SQL), verification checklist, key discoveries, safety notes, educational value, next steps

How this is delivered

This package ships on a single Blu-ray disc, posted to the delivery address on your order. The archive on the disc is AES-256 encrypted; the passphrase is sent separately, by email, once the disc is despatched — so the disc alone is of no use to anyone who intercepts it.

Discs are despatched by tracked, signed-for post. Allow 5 business days for mastering and verification before despatch.

© 2026 Christopher Gabriel Brown

Photo

Desk monitor running 'Aurora Chemical Data Suite' (molecule browser and compound table) in an office in front of server racks

Footnotes

  1. Product number 8512.
  2. Family: chemistry lab.
  3. Purchase: When you buy, you buy the use of that blueprint only.
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