Foundational systems
Phase-field computation, memory, logic, replication-like dynamics, and cost minimisation.
PUBLIC RESEARCH / SOURCE-AUDITED
The catalogue includes all 18 owner-approved studies verified against supplied public PDFs. DOI metadata appears only when confirmed by the publication or the author; figures are included only when the work actually contains suitable material.
PROGRAMMES
Each programme addresses a distinct problem class; early theoretical work and later evidence-ledger studies are intentionally not treated as equivalent claim levels.
Phase-field computation, memory, logic, replication-like dynamics, and cost minimisation.
Template-guided reconstruction under geometry, damage, latency, and resource constraints.
Closed-loop control of locking and through-flow in a driven–dissipative field.
Storage, transport, cycling, steering, robustness, and energy-accounting controls.
Thermal-interface controls, topology comparisons, and bounded response metrics.
Adaptive shielding phenomenology under geometry and control-latency stress.
Theoretical framework with numerical illustration
The first formal statement of a phase-resonant computation concept based on a normalized Hamiltonian, feedback coupling, dissipation, and convergence toward stable energetic configurations.
Simulation study
A dynamically coupled phase-field model is used to study self-organisation, memory, spectral attractors, and bit-level readout without a conventional gate architecture.
Simulation study
A scalar memory field and reactive agents are used to study persistent traces, attraction, avoidance, path dependence, and multi-agent feedback.
Simulation study
A resonant field model is evaluated as a substrate for detector-defined logical responses, including phase-conditioned AND/XOR-like behaviour and amplification.
Simulation study
Supplementary simulations extend the memory-field model with associative response, prediction-like excitation, regulation, frustration collapse, and agent navigation.
Simulation study
Nine simulations examine selective attention, hierarchical focus, state switching, phase-logical gating, node self-organisation, and multi-agent routing.
Simulation study
The V7 simulations test whether localized phase nodes can be copied between heterogeneous fields while retaining model-level function.
Simulation study
Six experiment groups examine energy retention, replica trajectory fidelity, windowed stability, multi-agent exchange, scaling, noise, and evolutionary parameter search.
Simulation study
A visual evidence report studies replication-like fronts, resource limits, phase locking, Arnold tongues, phase-response curves, PLL feedback, spatial masking, gating, quasi-3D transfer, and reproducibility maps.
Numerical proof-of-concept
A complex phase field is configured for Grover-like search and cost minimisation, then reused for pattern classification, noise stress tests, multi-oracle search, PDE solving, and maze transport.
Numerical proof-of-concept
A Gray–Scott reaction–diffusion substrate with bounded template feedback is tested through intervention, resource, stress, heredity, selection, scaling, causal-locality, and multi-strain protocols.
Numerical proof-of-concept
A gated, DC-shifted drive is used to accumulate a scalar field inside supplied lesion and cell-shape targets.
Numerical proof-of-concept
A falsifiable experiment chain extends phase-guided localisation to irregular geometry, target identity, heterogeneous transport, repeated damage, safety regions, latency, finite resources, and scaling.
Numerical proof-of-concept
A self-tuning controller coordinates frequency, phase, and PWM duty in a lossy wave/jet chamber model to maximise phase locking and useful through-flow.
Numerical proof-of-concept
A minimal energy-accounting field model tests storage windows, directed transport, exchange, noise robustness, optimisation, and a kill-switch.
Numerical proof-of-concept
A phenomenological Li–few-layer-graphene effective medium is used to test guided storage, release, transport, stress response, cycling, steering, and reproducibility.
Numerical proof-of-concept
A claim-bounded thermal evidence chain tests phase-guided redistribution, controls, tensor direction, action-normalised policies, and a final topology comparison.
Numerical proof-of-concept
A phenomenological shield-control model compares unshielded, passive, adaptive, delayed, and phase-advanced responses under synthetic GCR-like stress.