BLACK WIDOW RESEARCH PROGRAM
DIGITAL RESEARCH MAP
A reproducible digital research environment for investigating the BLACK WIDOW technology stack.
BLACK WIDOW develops a unified research architecture in which aerospace technologies can be explored through executable digital models, controlled experiments and reproducible evidence before physical validation is required.
- 9 TECHNOLOGIES
- DIGITAL-FIRST
- REPRODUCIBLE RESEARCH
- PHYSICAL VALIDATION: NOT PERFORMED
RESEARCH STATE
Current research state
9
TECHNOLOGIES
6
MIXED
1
DIGITAL-READY-BUT-BLOCKED
1
DIGITAL-MODEL-INSUFFICIENT
0
PHYSICAL-REQUIRED
1
INFRASTRUCTURE
0
FULLY-DIGITAL
Technology-level states. Counts are derived from the canonical map and are mutually exclusive.
RESEARCH DOMAINS
The nine canonical technologies
Each domain links to its existing technology page. No numerical performance is claimed.
- C01MIXED
EPM DOCKING & RELEASE
Electromagnetic magnetic capture and docking/release research within a funnel geometry.
- RESEARCH STATE
- DIGITAL EXPERIMENT EXECUTABLE
- DIGITAL CAPABILITIES
- Magnetic capture modelDocking state machineDeterministic simulationMonte Carlo campaignF(gap) digital characterization
- PHYSICAL BOUNDARY
- Force-vs-gap calibration and cycle-to-cycle repeatability require physical measurement.
- EVIDENCE
- DIGITAL EVIDENCE AVAILABLE
- C02MIXED
BW-C45
Three-degree-of-freedom parametric flight model for a subdrone deployment mission.
- RESEARCH STATE
- DIGITAL EXPERIMENT EXECUTABLE
- DIGITAL CAPABILITIES
- Parametric flight modelMonte CarloParameter sweepsSensitivity analysisC02 → C06 digital research interface
- PHYSICAL BOUNDARY
- Mass, wing geometry/area, thrust and battery parameters require measurement/verification.
- EVIDENCE
- DIGITAL EVIDENCE AVAILABLE
- C06MIXED
GPS-DENIED NAVIGATION
Dead-reckoning and visual-odometry drift navigation model under GPS denial.
- RESEARCH STATE
- DIGITAL EXPERIMENT EXECUTABLE
- DIGITAL CAPABILITIES
- Deterministic navigation modelParameter sweepsScenario comparisonGPS availability mappingC02 → C06 paired digital experimentsGPS-duration responseGPS-placement sensitivity
- PHYSICAL BOUNDARY
- Sensor calibration and IMU bias semantics/characterization remain input-dependent.
- EVIDENCE
- DIGITAL EVIDENCE AVAILABLE
- C07INFRASTRUCTURE / PLATFORM VERIFICATION
MISSION OS
Research orchestration and evidence infrastructure.
INFRASTRUCTURE
- RESEARCH STATE
- INFRASTRUCTURE / PLATFORM VERIFICATION
- DIGITAL CAPABILITIES
- Experiment orchestrationProvenanceSystem verification
- PHYSICAL BOUNDARY
- Infrastructure role — not a physical aerospace technology.
- EVIDENCE
- PLATFORM EVIDENCE
- C09DIGITAL-MODEL-INSUFFICIENT
DIGITAL TWIN
Rule-based digital replay of system state and scenario sequences.
- RESEARCH STATE
- RULE-BASED DEMONSTRATION
- DIGITAL CAPABILITIES
- Deterministic replayScenario sequence
- PHYSICAL BOUNDARY
- The scientific digital model/input specification is not yet sufficiently formed. It does not mean physical measurement is required.
- EVIDENCE
- DIGITAL EVIDENCE AVAILABLE
- C10MIXED
ALBATROSS
Wind-aware energy and trajectory research structure.
- RESEARCH STATE
- DIGITAL RESEARCH ARCHITECTURE AVAILABLE
- DIGITAL CAPABILITIES
- Level 1 researchLevel 2 architectureAerodynamic adapterParametric research structure
- PHYSICAL BOUNDARY
- Required geometry, aerodynamic coefficients, atmosphere/wind and propulsion efficiencies remain unresolved. Negative results are preserved as recorded.
- EVIDENCE
- DIGITAL EVIDENCE AVAILABLE
- C11MIXED
OWL
Parametric aerodynamic polar and acoustic/SPL research areas.
- RESEARCH STATE
- DIGITAL MODEL / PARAMETRIC RESEARCH
- DIGITAL CAPABILITIES
- Aerodynamic/polar parameterizationCoefficient domainsAcoustic/SPL research
- PHYSICAL BOUNDARY
- Physical aerodynamic and acoustic measurements remain required for physical validation.
- EVIDENCE
- DIGITAL EVIDENCE AVAILABLE
- C12DIGITAL-READY-BUT-BLOCKED
FLYSCOUT
Deployment and inspection transition research (state-based).
- RESEARCH STATE
- RESEARCH ARCHITECTURE EXISTS
- DIGITAL CAPABILITIES
- Deterministic state-machine transition model
- PHYSICAL BOUNDARY
- A meaningful digital research path is possible, but the scientific input set and validation gate must first be explicitly defined. Physical prototyping is not the only possible next step.
- EVIDENCE
- DIGITAL EVIDENCE AVAILABLE
- C13MIXED
SWARM INTELLIGENCE
Multi-agent coordination and task-allocation research.
- RESEARCH STATE
- DIGITAL EXPERIMENT EXECUTABLE
- DIGITAL CAPABILITIES
- Multi-agent abstractionParameter sweepsDeterministic experimentsReproducibility
- PHYSICAL BOUNDARY
- Agent failure/loss domains and additional scientific parameters remain to be defined for deeper research.
- EVIDENCE
- DIGITAL EVIDENCE AVAILABLE
METHODOLOGY
DIGITAL-FIRST / PHYSICAL-ONLY-WHEN-REQUIRED
- RESEARCH QUESTION
- DIGITAL MODEL
- EXECUTABLE EXPERIMENT
- REPRODUCIBLE EVIDENCE
- SCIENTIFIC BOUNDARY
- PHYSICAL MEASUREMENT (ONLY WHEN REQUIRED)
Physical testing is not assumed to be the first step. It is introduced when a scientific question cannot be responsibly resolved from the available digital model and inputs. This is the BLACK WIDOW research methodology, not a universal law.
EVIDENCE MODEL
Traceable digital evidence
Every meaningful digital result should be traceable to a defined model, experiment configuration and reproducible run.
The public site remains a frozen, read-only evidence snapshot. Visitors cannot execute experiments live.
CURRENT BOUNDARY
Current research boundary
Digital research infrastructure is active at the research-engine level, while physical validation and several scientific input domains remain open.
- DIGITAL RESEARCH
- ACTIVE
- PHYSICAL VALIDATION
- NOT PERFORMED
- LIVE PUBLIC COMPUTATION
- NOT IMPLEMENTED
- EVIDENCE
- DIGITAL EVIDENCE AVAILABLE
SNAPSHOT DISTINCTION
PUBLIC EVIDENCE SNAPSHOT
DRE-4.0
CURRENT RESEARCH ENGINE
ACTIVE DEVELOPMENT STATE
The public snapshot and the current research engine are deliberately not merged into one synchronized dataset.
LABORATORIES & EVIDENCE
Research entry points
DIGITAL RESEARCH LABORATORY
A unified computational environment for reproducible research across the nine canonical BLACK WIDOW technologies.
OPEN LABORATORY
DIGITAL AERODYNAMIC LABORATORY
Explore reproducible computational aerodynamic experiments, their provenance, and evidence.
OPEN LABORATORY · VIEW EVIDENCE
DIGITAL SIMULATION EXPLORER · DEV SURFACE
Maximum-fidelity visualization of the nine digital simulations — synchronized telemetry, trajectories and polars, sweep curves and gate readouts.
OPEN SIMULATION EXPLORER
RESEARCH CONTROL PANEL · DEV SURFACE
Run existing experiments and project-defined parameter sweeps locally and watch the optimization curves live. Localhost-only; the public site stays read-only.
OPEN CONTROL PANEL
PUBLIC RESEARCH API · READ-ONLY EVIDENCE SNAPSHOT
Machine-readable research evidence. Frozen snapshot — not live computation.
Research Milestone
21 September 2026
A2 — Geometry-Aware 2D Inviscid Aerodynamic Model
Qualified with conditionsBLACK WIDOW has completed A2 of its Digital Aerodynamic Engine — a geometry-aware 2-D inviscid aerodynamic model based on a Hess–Smith source/vortex panel method. The model takes airfoil geometry and flow conditions and computes the surface velocity distribution V_t(s), the pressure-coefficient distribution Cp(s), circulation Γ, the lift coefficient CL, the pitching-moment coefficient CM, the zero-lift angle α_L0 and the stagnation-point location.
Independent verification
- 116 / 116 overall tests PASS
- 34 / 34 A2 tests PASS
- V1–V12: 12 / 12 PASS
- influence coefficients independently checked: ≤ 2×10⁻¹³
- Kutta residual: ~10⁻¹³
- deterministic execution
- reproducible evidence
- panel-count convergence verified
Computational chain
- 01Airfoil geometry
- 02Panel discretization
- 03Hess–Smith source/vortex solution
- 04V_t(s)
- 05Cp(s)
- 06CL / CM / Γ
- 07Reproducible evidence
At this level the aerodynamic coefficients are computed from the airfoil geometry within a defined inviscid model, rather than being supplied as a fixed parametric polar.
Scientific scope and limitations
The current model describes 2-D incompressible inviscid flow. It is not a physically validated model and does not use measured aerodynamic parameters. At this stage the model does not describe:
- viscous drag
- Reynolds-number dependence
- laminar/turbulent transition
- flow separation
- realistic stall
- turbulence
- 3-D / finite-wing effects
- compressibility
- CFD / RANS
- experimental calibration
A3 — viscous aerodynamic modelling — NOT STARTED