Ambientium Specification

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Ambientium

Discovering Materials, Devices, and Architectures for Ambient Computation

Specification

Ambientium is an open hardware specification for discovering, evaluating, developing, simulating, and validating materials, devices, construction methods, and computational architectures designed for ambient-temperature operation. Ambientium provides a technology-neutral framework for exploring conventional and unconventional computing approaches while connecting scientific discovery with practical hardware construction, fabrication, testing, manufacturing, and deployment.

Ambientium is designed as a modular system. Core modules define the fundamental discovery, evaluation, modeling, construction, validation, and interoperability capabilities of the specification. Optional plugin modules extend the system with specialized research databases, simulation engines, laboratory integrations, manufacturing systems, patent research, scientific literature sources, and other external capabilities.

Core Principles

Ambient-temperature computing as a broad technology discovery problem
Technology-neutral architecture
Open hardware development
Modular system design
Interoperable hardware descriptions
Reproducible research and construction
Evidence-based technical evaluation
Machine-readable specifications
Local-first operation
Vendor-neutral interfaces
Human oversight of consequential decisions
Continuous discovery and reassessment
Clear separation between technical analysis and legal conclusions
Integration with heterogeneous computing environments
Compatibility with VigilQuantum

Core Modules

Ambient Computation Discovery

The Ambient Computation Discovery Module identifies computing approaches capable of operating at or near ambient temperatures.

Features include:

Discovery of conventional computing approaches
Discovery of unconventional computing approaches
Discovery of alternative physical mechanisms for computation
Identification of room-temperature computing candidates
Identification of near-room-temperature computing candidates
Identification of architectures requiring reduced cooling
Identification of architectures capable of passive thermal management
Classification of theoretical, simulated, experimental, and demonstrated technologies
Discovery of combinations of existing technologies
Discovery of hybrid computing architectures
Continuous expansion of the ambient computation technology space

Materials Discovery

The Materials Discovery Module identifies and evaluates materials suitable for computational devices and systems.

Features include:

Semiconductor material discovery
Conductive material discovery
Insulating material discovery
Magnetic material discovery
Optical material discovery
Ferroelectric material discovery
Piezoelectric material discovery
Memristive material discovery
Two-dimensional material discovery
Organic material discovery
Molecular material discovery
Compound semiconductor discovery
Material combination discovery
Heterostructure discovery
Material property mapping
Material substitution analysis
Thermal property analysis
Electrical property analysis
Optical property analysis
Magnetic property analysis
Mechanical property analysis
Chemical property analysis
Material availability analysis
Material manufacturing requirements

Device Discovery

The Device Discovery Module maps physical phenomena and materials to computational devices.

Features include:

Transistor discovery
Switching device discovery
Logic device discovery
Memory device discovery
Analog device discovery
Photonic device discovery
Magnetic device discovery
Spintronic device discovery
Memristive device discovery
Neuromorphic device discovery
Ferroelectric device discovery
Molecular device discovery
Biochemical device discovery
Mechanical computing device discovery
Emerging device discovery
Device property comparison
Device-to-function mapping
Device-to-material mapping
Device-to-fabrication mapping

Computational Architecture Discovery

The Computational Architecture Discovery Module evaluates ways of combining physical devices into useful computational systems.

Features include:

Von Neumann architecture analysis
Non-von-Neumann architecture analysis
Neuromorphic architecture analysis
Parallel architecture analysis
Distributed architecture analysis
Analog architecture analysis
Photonic architecture analysis
In-memory computing analysis
Near-memory computing analysis
Event-driven architecture analysis
Reconfigurable architecture analysis
Heterogeneous architecture analysis
Hybrid architecture analysis
Classical and quantum subsystem integration
Thermal-aware architecture discovery
Low-power architecture discovery
Architecture substitution analysis

Construction Method Discovery

The Construction Method Discovery Module identifies practical methods for transforming computational concepts into physical hardware.

Features include:

Fabrication method discovery
Material-to-process mapping
Device-to-process mapping
Architecture-to-construction mapping
Deposition method evaluation
Lithography method evaluation
Etching method evaluation
Patterning method evaluation
Additive manufacturing evaluation
Subtractive manufacturing evaluation
Assembly method evaluation
Packaging method evaluation
Construction pathway comparison
Manufacturing dependency analysis
Equipment requirement analysis
Process tolerance analysis
Environmental requirement analysis
Alternative construction pathway generation

Fabrication Pathway Modeling

The Fabrication Pathway Modeling Module represents complete hardware construction processes as structured workflows.

Features include:

Fabrication workflow definition
Process dependency mapping
Process sequencing
Material requirement tracking
Equipment requirement tracking
Tooling requirement tracking
Environmental condition tracking
Process temperature tracking
Manufacturing tolerance tracking
Process bottleneck identification
Fabrication complexity analysis
Laboratory-scale process modeling
Industrial-scale process modeling
Alternative process comparison
Reproducible fabrication specifications

Thermal Architecture

The Thermal Architecture Module evaluates the thermal behavior required for ambient computational systems.

Features include:

Heat generation modeling
Heat propagation modeling
Heat dissipation modeling
Computational heat-density analysis
Thermal bottleneck identification
Passive cooling evaluation
Active cooling requirement analysis
Heat-spreading architecture discovery
Thermal interface analysis
Packaging thermal analysis
Thermal isolation analysis
Low-heat computational architecture analysis
Thermal-aware hardware placement
Ambient operation evaluation
Thermal performance tracking

Power Architecture

The Power Architecture Module evaluates the energy requirements and electrical infrastructure of candidate computing systems.

Features include:

Device-level power modeling
System-level power modeling
Static power analysis
Dynamic power analysis
Power-density analysis
Power delivery analysis
Power conversion analysis
Energy efficiency comparison
Low-power architecture discovery
Energy recovery analysis
Power-related thermal analysis
Power infrastructure requirements

Interconnect Discovery

The Interconnect Discovery Module evaluates communication pathways between physical computing components.

Features include:

Electrical interconnect discovery
Optical interconnect discovery
Magnetic interconnect discovery
Wireless intra-system communication analysis
High-density interconnect analysis
Signal integrity analysis
Interconnect thermal analysis
Interconnect power analysis
Communication bottleneck identification
Alternative interconnect discovery
Device-to-device communication mapping

Memory Architecture

The Memory Architecture Module evaluates storage and memory technologies suitable for ambient computing systems.

Features include:

Volatile memory discovery
Nonvolatile memory discovery
In-memory computing discovery
Distributed memory analysis
Optical memory analysis
Magnetic memory analysis
Resistive memory analysis
Ferroelectric memory analysis
Memory endurance analysis
Memory retention analysis
Read and write energy analysis
Memory thermal analysis
Memory scalability analysis
Memory architecture comparison

Computational Primitive Mapping

The Computational Primitive Mapping Module connects physical mechanisms to computational functions.

Features include:

Logic operation mapping
Switching operation mapping
Arithmetic operation mapping
Analog operation mapping
Signal-processing operation mapping
Machine-learning primitive mapping
Memory operation mapping
Sensing operation mapping
Communication operation mapping
Equivalent-function discovery
Physical implementation comparison
Computational efficiency comparison

Patent Landscape Discovery

The Patent Landscape Discovery Module provides patent-aware technical analysis for candidate architectures and construction methods.

Features include:

Patent discovery
Patent-family tracking
Claim identification
Priority-date tracking
Jurisdiction tracking
Assignee tracking
Inventor tracking
Prosecution-history tracking
Continuation and divisional application tracking
Expiration tracking
Abandonment tracking
Technology-to-patent mapping
Patent-to-device mapping
Patent-to-process mapping
Patent-to-architecture mapping
Potential claim-overlap identification
Patent provenance tracking

Patent analysis within Ambientium is technical and informational. Automated analysis must not be represented as a legal opinion, freedom-to-operate determination, infringement determination, or legal clearance.

Design-Around Discovery

The Design-Around Discovery Module identifies alternative technical implementations that may reduce dependence on potentially encumbered approaches.

Features include:

Material substitution
Device substitution
Geometry substitution
Fabrication-process substitution
Architecture substitution
Interconnect substitution
Packaging substitution
Control-mechanism substitution
Computational-primitive substitution
Alternative construction pathway generation
Patent claim comparison
Technical similarity analysis
Design alternative documentation
Design rationale preservation
Legal-review flagging

Prior Art Discovery

The Prior Art Discovery Module identifies historical and contemporary technical work relevant to candidate architectures.

Features include:

Historical patent discovery
Expired patent discovery
Abandoned application discovery
Scientific publication discovery
Academic dissertation discovery
Conference proceeding discovery
Technical documentation discovery
Historical device discovery
Prior implementation discovery
Prior-art provenance tracking
Historical technology mapping
Modern implementation comparison

Scientific Literature Discovery

The Scientific Literature Discovery Module connects Ambientium candidates with relevant scientific and engineering research.

Features include:

Scientific publication indexing
Material-to-publication mapping
Device-to-publication mapping
Architecture-to-publication mapping
Fabrication-process mapping
Experimental-result tracking
Operating-temperature tracking
Performance-result tracking
Limitation tracking
Contradictory-result tracking
Research-gap detection
Evidence classification

Architecture Substitution

The Architecture Substitution Module generates alternative implementations while preserving computational objectives.

Features include:

Material substitution
Device substitution
Architecture substitution
Fabrication substitution
Interconnect substitution
Memory substitution
Thermal architecture substitution
Packaging substitution
Control substitution
Equivalent-function comparison
Multi-pathway architecture generation

Hybrid Architecture

The Hybrid Architecture Module combines multiple computational technologies into unified systems.

Features include:

Electronic and photonic integration
Analog and digital integration
Conventional and unconventional device integration
Memory and computation integration
Classical and quantum subsystem integration
Heterogeneous device integration
Workload partitioning
Interface modeling
Cross-technology communication
Hybrid thermal analysis
Hybrid power analysis

Simulation and Modeling

The Simulation and Modeling Module evaluates candidate systems before physical construction.

Features include:

Electrical simulation
Thermal simulation
Optical simulation
Electromagnetic simulation
Mechanical simulation
Materials modeling
Device modeling
Reliability modeling
Manufacturing simulation
Power modeling
Interconnect modeling
System-level performance modeling
Multi-physics modeling
Parameter sweeps
Candidate comparison

Digital Twin

The Digital Twin Module creates computational representations of candidate hardware.

Features include:

Device digital twins
Module digital twins
System digital twins
Thermal digital twins
Power digital twins
Manufacturing digital twins
Reliability digital twins
Versioned hardware models
Simulation-to-experiment comparison
Experimental-to-model feedback
VigilQuantum integration

Experimental Validation

The Experimental Validation Module records and evaluates physical testing.

Features include:

Experimental hypothesis definition
Test-condition definition
Measurement requirement definition
Experimental configuration recording
Environmental-condition recording
Fabrication-variation recording
Failure recording
Successful-result recording
Simulation comparison
Reproducibility tracking
Independent validation tracking
Confidence classification
Experimental provenance
Validation status

Hardware Prototyping

The Hardware Prototyping Module translates candidate architectures into physical prototypes.

Features include:

Prototype architecture definition
Prototype specifications
Material specifications
Fabrication requirements
Assembly requirements
Testing requirements
Device-level prototyping
Board-level prototyping
Module-level prototyping
Chip-level prototyping
Prototype comparison
Prototype revision tracking

Manufacturing Analysis

The Manufacturing Analysis Module evaluates whether candidate hardware can be practically produced.

Features include:

Manufacturing feasibility analysis
Production complexity analysis
Equipment analysis
Material availability analysis
Fabrication yield analysis
Process repeatability analysis
Manufacturing scalability analysis
Production bottleneck identification
Proprietary manufacturing dependency analysis
Open manufacturing opportunity identification
Laboratory-to-industry transition analysis

Supply Chain Analysis

The Supply Chain Analysis Module evaluates the availability and resilience of required resources.

Features include:

Material dependency tracking
Component dependency tracking
Equipment dependency tracking
Single-source dependency identification
Geographic concentration analysis
Difficult-to-source material identification
Substitute material discovery
Substitute component discovery
Supply-chain resilience analysis
Local manufacturing analysis
Resource dependency scoring

Reliability Engineering

The Reliability Engineering Module evaluates the durability and failure characteristics of candidate hardware.

Features include:

Device failure modeling
Thermal failure modeling
Electrical failure modeling
Mechanical failure modeling
Material degradation modeling
Manufacturing defect modeling
Mean-time-to-failure analysis
Endurance analysis
Fault tolerance analysis
Failure propagation analysis
Redundancy analysis
Reliability scoring
Maintenance pathway analysis

Hardware Diagnostics

The Hardware Diagnostics Module provides health monitoring capabilities for Ambientium-compatible systems.

Features include:

Hardware health monitoring
Thermal monitoring
Power monitoring
Device degradation monitoring
Error monitoring
Fault detection
Predictive failure analysis
Hardware telemetry
Hardware provenance
Condition-based maintenance
Diagnostic event tracking

Open Hardware Reference Designs

The Open Hardware Reference Design Module converts validated architectures into reproducible hardware specifications.

Features include:

Reference architecture definitions
Mechanical specifications
Electrical specifications
Thermal specifications
Device specifications
Material specifications
Fabrication specifications
Assembly specifications
Packaging specifications
Testing specifications
Interface specifications
Bill-of-materials definitions
Construction documentation
Independent verification support

Hardware Modularity

The Hardware Modularity Module defines interoperable physical computing components.

Features include:

Modular device architectures
Replaceable computational modules
Replaceable memory modules
Replaceable interconnect modules
Replaceable thermal modules
Replaceable power modules
Replaceable sensing modules
Standardized hardware interfaces
Hardware capability discovery
Hardware composition
Hardware substitution

VigilQuantum Integration

The VigilQuantum Integration Module defines the interface between Ambientium hardware discovery and VigilQuantum computational orchestration.

Features include:

Hardware capability discovery
Hardware architecture discovery
Thermal characteristic reporting
Power characteristic reporting
Performance characteristic reporting
Reliability characteristic reporting
Hardware health reporting
Hardware telemetry
Heterogeneous hardware support
Hardware substitution
Dynamic workload placement
Hardware-aware workload optimization
Quantum hardware integration
Computational resource optimization

Ambientium defines the physical hardware discovery and construction layer while VigilQuantum provides the intelligent operating, monitoring, optimization, orchestration, and computational management layer.

Knowledge Graph

The Knowledge Graph Module connects technical entities and evidence across the Ambientium system.

Features include:

Material-to-device relationships
Device-to-architecture relationships
Architecture-to-process relationships
Process-to-equipment relationships
Technology-to-patent relationships
Technology-to-publication relationships
Technology-to-experiment relationships
Technology-to-manufacturing relationships
Technology-to-failure relationships
Technology-to-alternative relationships
Technology-to-design-around relationships
Dependency mapping
Evidence relationships

Provenance and Evidence

The Provenance and Evidence Module maintains the origin and reliability of information used by Ambientium.

Features include:

Source attribution
Experimental provenance
Patent provenance
Scientific literature provenance
Manufacturing provenance
Version history
Evidence classification
Confidence scoring
Verification status
Independent validation status
Contradiction tracking
Evidence lineage
Decision provenance

Comparative Evaluation

The Comparative Evaluation Module enables consistent comparison of candidate approaches.

Features include:

Performance comparison
Energy comparison
Thermal comparison
Manufacturing comparison
Cost comparison
Material availability comparison
Reliability comparison
Scalability comparison
Patent landscape comparison
Supply-chain comparison
Environmental-condition comparison
Technology-readiness comparison
Multi-criteria comparison

Optimization Engine

The Optimization Engine identifies candidate architectures that best satisfy configurable requirements.

Features include:

Temperature optimization
Power optimization
Performance optimization
Energy-efficiency optimization
Manufacturability optimization
Reliability optimization
Material availability optimization
Supply-chain optimization
Patent-risk reduction analysis
Physical-footprint optimization
Scalability optimization
Multi-objective optimization
User-defined weighting
Constraint-based optimization

Candidate Ranking

The Candidate Ranking Module provides transparent ranking of candidate technologies and construction pathways.

Features include:

Architecture ranking
Material ranking
Device ranking
Fabrication-method ranking
Thermal-architecture ranking
Manufacturing-pathway ranking
Design-around ranking
Configurable scoring criteria
User-defined weighting
Confidence-aware ranking
Evidence-aware ranking
Transparent ranking rationale
Ranking history

Research Gap Detection

The Research Gap Detection Module identifies areas requiring additional investigation.

Features include:

Material combination gap detection
Device combination gap detection
Architecture gap detection
Fabrication gap detection
Experimental evidence gap detection
Contradictory research identification
Unvalidated architecture identification
Untested design-around identification
Missing manufacturing pathway identification
Research opportunity generation

Reproducibility

The Reproducibility Module supports independent reconstruction and validation of Ambientium research.

Features include:

Reproducible construction specifications
Reproducible experiments
Reproducible simulations
Versioned designs
Versioned materials
Versioned processes
Versioned experimental results
Independent replication tracking
Construction verification
Validation records

Open Standards and Interoperability

The Open Standards and Interoperability Module defines common representations and interfaces for Ambientium-compatible systems.

Features include:

Machine-readable specifications
Standardized material descriptions
Standardized device descriptions
Standardized architecture descriptions
Standardized fabrication descriptions
Standardized thermal descriptions
Standardized experimental records
Standardized hardware interfaces
Interoperable research datasets
Vendor-neutral interfaces
Hardware-neutral architecture descriptions
Local-first operation
Self-hosted operation

Governance and Safety

The Governance and Safety Module establishes safeguards for technical discovery and hardware development.

Features include:

Human review of consequential decisions
Technical uncertainty reporting
Evidence-based classification
Patent-risk warnings
Experimental safety metadata
Material safety metadata
Fabrication hazard metadata
Audit logging
Change tracking
Decision records
Separation of technical analysis from legal conclusions
Clear identification of unvalidated results

Continuous Discovery

The Continuous Discovery Module enables Ambientium to evolve as new technologies become available.

Features include:

New technology ingestion
New material ingestion
New device ingestion
New fabrication method ingestion
New research ingestion
Candidate reassessment
Previously rejected technology reassessment
Newly viable combination detection
Candidate ranking updates
Technology evolution tracking
Historical discovery preservation

Optional Plugin Modules

Scientific Database Plugin

Provides connections to external scientific databases and research repositories.

Features include:

Scientific database integration
Research metadata ingestion
Publication discovery
Material data ingestion
Device data ingestion
Automated evidence updates

Patent Database Plugin

Provides connections to external patent research systems.

Features include:

Patent search
Patent-family retrieval
Claim retrieval
Patent-status retrieval
Jurisdiction filtering
Patent-history retrieval
Patent landscape synchronization

Literature Intelligence Plugin

Provides advanced scientific literature analysis.

Features include:

Literature clustering
Research trend detection
Citation analysis
Technology relationship extraction
Research-gap discovery
Contradiction detection

Materials Database Plugin

Provides specialized materials science data.

Features include:

Materials property databases
Material compatibility data
Thermal property data
Electrical property data
Optical property data
Magnetic property data
Manufacturing compatibility data

Simulation Plugin

Connects Ambientium to external simulation engines.

Features include:

Electrical simulation
Thermal simulation
Electromagnetic simulation
Optical simulation
Mechanical simulation
Materials simulation
Multi-physics simulation
Simulation result ingestion

CAD Plugin

Connects Ambientium to computer-aided design systems.

Features include:

Hardware geometry generation
Device layout
Mechanical modeling
Board modeling
Packaging design
Manufacturing export
Design validation

Laboratory Plugin

Connects Ambientium to laboratory equipment and experimental environments.

Features include:

Instrument integration
Experiment execution
Measurement collection
Environmental monitoring
Test automation
Experimental provenance
Validation synchronization

Manufacturing Plugin

Connects Ambientium to manufacturing systems.

Features include:

Manufacturing workflow integration
Process execution
Equipment integration
Production monitoring
Fabrication data collection
Quality-control integration
Manufacturing provenance

Hardware Monitoring Plugin

Connects Ambientium to deployed physical hardware.

Features include:

Hardware telemetry
Temperature monitoring
Power monitoring
Performance monitoring
Error monitoring
Hardware health monitoring
Predictive maintenance data

AI Discovery Agent Plugin

Provides autonomous research assistance for Ambientium discovery workflows.

Features include:

Research candidate discovery
Material relationship discovery
Device relationship discovery
Architecture generation
Literature analysis
Prior-art analysis
Design alternative generation
Research-gap identification
Candidate comparison
Human approval workflows

Optimization Plugin

Provides specialized optimization engines.

Features include:

Multi-objective optimization
Thermal optimization
Energy optimization
Manufacturing optimization
Reliability optimization
Material optimization
Architecture optimization
Constraint optimization

Visualization Plugin

Provides interactive visualization of Ambientium knowledge and candidate systems.

Features include:

Architecture visualization
Material relationship visualization
Device relationship visualization
Fabrication workflow visualization
Patent landscape visualization
Thermal visualization
Power visualization
Knowledge graph visualization
Candidate comparison visualization

Digital Twin Plugin

Provides advanced digital-twin functionality through external modeling systems.

Features include:

Hardware digital twins
Manufacturing digital twins
Thermal digital twins
Reliability digital twins
Simulation synchronization
Experimental synchronization
Lifecycle modeling

VigilQuantum Hardware Plugin

Provides specialized integration between Ambientium and VigilQuantum-compatible hardware.

Features include:

Hardware registration
Capability discovery
Hardware health reporting
Thermal telemetry
Power telemetry
Performance telemetry
Workload compatibility reporting
Hardware substitution
Resource optimization
Hardware lifecycle tracking

Candidate Lifecycle

Ambientium defines a general lifecycle for computational hardware discovery:

Discover → Evaluate → Map → Design → Design Around → Simulate → Prototype → Fabricate → Test → Validate → Compare → Publish → Reassess

Each stage may be repeated as new evidence, materials, devices, fabrication methods, patents, or experimental results become available.

Candidate Classification

Ambientium should distinguish between:

Theoretical
Proposed
Modeled
Simulated
Experimentally tested
Independently replicated
Prototype
Demonstrated
Manufacturing-ready
Production-ready
Rejected
Superseded
Requires additional evidence

Candidate status must not imply technical validation beyond the evidence recorded by the system.

Ambientium Hardware Description

An Ambientium-compatible hardware description should be capable of representing:

Computational purpose
Materials
Devices
Architecture
Construction method
Fabrication process
Interconnect
Memory
Thermal characteristics
Power characteristics
Environmental requirements
Manufacturing requirements
Reliability characteristics
Testing requirements
Validation status
Evidence
Provenance
Known alternatives
Patent landscape
Design-around candidates

Design Discovery Principle

Ambientium treats a computing architecture as a set of replaceable technical components rather than a fixed implementation.

Material → Device → Construction Method → Architecture → Thermal System → Power System → Manufacturing → Validation

Each component may be substituted, optimized, or redesigned while preserving the intended computational function.

Ambient Computation Principle

Ambientium does not define ambient computation as one specific technology. It defines a framework for discovering the broadest possible set of physical approaches capable of achieving useful computation under ambient or near-ambient operating conditions.

Candidate technologies may include conventional semiconductor systems, alternative semiconductor materials, photonic computing, optical computing, magnetic computing, spintronic computing, memristive computing, neuromorphic computing, analog computing, molecular computing, mechanical computing, biochemical computing, ferroelectric computing, hybrid systems, and future computational mechanisms.

Legal and Patent Analysis Principle

Ambientium may organize and analyze publicly available information concerning patents, patent claims, prior art, technical publications, and related technologies. Its outputs are intended to support engineering research and design exploration.

Ambientium must not represent automated patent analysis as legal advice, infringement analysis, freedom-to-operate clearance, or a guarantee that a particular design is free from intellectual property restrictions. Potentially relevant findings should be identified for appropriate professional review.

VigilQuantum Relationship

Ambientium provides the physical computing discovery and hardware specification layer for VigilQuantum.

Ambientium focuses on:

Materials
Devices
Physical architectures
Construction methods
Fabrication
Thermal behavior
Power behavior
Manufacturing
Hardware validation
Hardware interoperability

VigilQuantum focuses on:

Computational orchestration
Quantum computing operations
AI integration
Cybersecurity
Hardware health
Resource optimization
Workload management
Adaptive operation
Computational recovery
Multi-platform hardware management

The two specifications may operate independently while providing standardized interfaces for integrated deployments.

VigilQuantum

Extensibility

Ambientium is designed to accommodate future computing technologies without requiring changes to its fundamental architecture.

New materials, devices, architectures, fabrication methods, simulation systems, research sources, manufacturing systems, experimental platforms, and computational mechanisms should be incorporable through modular extensions.

Specification Branding License (SBL)

Standard

Fully AGPL-3.0+ compliant system
Copyleft enforced for network deployments
Required attribution:
- Roxanne Ardary
- https://www.roxanneardary.com/

Optional

Specification Branding License (SBL)
- Attribution-free commercial deployment
- Pricing based on scale, usage, and deployment scope
- https://roxanneardary.com/ambientium/

License & Notice Requirements

Ambientium is released under the GNU Affero General Public License v3.0 or later (AGPL-3.0+).

By contributing to any Open Arsenal project, you agree that your contributions will also be released under this license.

Please note the following:

All contributions must comply with the AGPL-3.0+ terms.
Under Section 7 of the license, all redistributions, forks, and derivative works must preserve attribution to:
Roxanne Ardary and roxanneardary.com.
Ambientium specifications are free to use with attribution. A Specification Branding License can be negotiated upon request.
The project’s notice.md file tracks attribution requirements and contributor acknowledgments. Any update that adds new contributors or modifies attribution should also update notice.md.
When submitting a pull request, ensure that any new files maintain the attribution headers where applicable.
Network-deployed versions of this software must also remain fully AGPL-3.0+ compliant, including exposure of source code modifications when applicable under the license.

For full legal details, please refer to the AGPL-3.0+ license and the project’s notice.md file.

Notice – Ambientium

Attribution Requirement: Under Section 7 of the AGPL 3.0+ license, all redistributions, forks, and derivative works, including network-deployed versions of this project, must provide attribution to Roxanne Ardary and roxanneardary.com.

Contributors

This file tracks contributors and their specific contributions to the project.

Roxanne Ardary, roxanneardary.com – August 28, 2026
Created the repository for Ambientium. Developed the specification for discovering and developing materials, devices, construction methods, and computing architectures designed for ambient-temperature operation.
[Add other contributors here] – [Date]
[Describe contribution in one sentence]

License – Ambientium

This repository is licensed under the GNU Affero General Public License v3.0 or later (AGPL-3.0+).

Key Points:

You are free to use, modify, and distribute the code.
All redistributions, forks, and derivative works or network-deployed versions must also be licensed under AGPL-3.0+ and provide attribution to Roxanne Ardary and roxanneardary.com as required under Section 7 of the license.
The software is provided “as is,” without warranty of any kind.

For the full license text, see GNU AGPL-3.0 License.