The third mode of electrical delivery.
Pattern is the design variable.
AC defines direction. DC defines magnitude.
GPC defines temporal structure — the shape, rhythm, and phase of current delivered to any electroactive system.
Same amplitude, start to finish. The interface evolves — the current doesn’t. Mismatched control creates stress, variance, degradation.
I(t) = I_min + (I_max − I_min) × S(t)
S(t) is the design variable. Current adapts to what the interface needs, millisecond by millisecond.
A .gpchei file encodes electrode kinetics, mass transport, thermal response. GPC derives the minimum-stress pattern — not a template, a derivation. 1024-point LUT output.
From the first cell formation in the gigafactory to fleet-level energy intelligence — a single connected stack coordinates every stage.
Formation Control Layer
The first charge cycles in the gigafactory. GPC stabilises early SEI formation so cells leave the line with consistent behaviour, lower variance and a predictable lifetime trajectory. Formation campaigns become shorter and more repeatable without touching the racks.
Initial Activation Layer
Module-level alignment before packs are sealed. Catches cell-to-cell divergence early, reduces mismatched modules entering pack assembly, and creates a clear bridge between factory data and real-world performance. OEMs see smoother commissioning and fewer rework loops.
Battery Optimization Layer
In-field pack management over thousands of real-world cycles. Keeps cells stable, efficient and predictable — in vehicles, BESS assets or industrial systems. Existing fleets become long-lived energy assets without changing chemistry or hardware.
BESS & Grid Stability Layer
Shapes how large storage systems import and export power so the grid sees manageable profiles instead of violent swings. Grid owners get better utilisation of existing infrastructure, fewer protection trips and the ability to defer substation upgrades.
Fast & Mega Charging Layer
Very high-power sessions kept within safe operating envelopes. Instead of oversizing infrastructure, this layer makes fast charging a controlled, repeatable operation rather than a stress test — protecting cells, chargers and the upstream grid simultaneously.
Multi-Source Power Routing Layer
Coordinates grid, solar, wind and storage at complex sites. Decides when to draw from or feed into each source so total demand stays within preferred limits — critical for depots, ports and industrial campuses where multiple large assets share the same connection point.
Energy Logistics Layer
Treats energy as a movable asset beyond a single site — mobile packs, marine platforms and remote hubs where grid build-out is slow or impossible. Enables mobile energy delivery, temporary construction power and islanded operations under the same Energy OS architecture.
Energy Intelligence Layer
The long-horizon coordinator of the entire GigaPulse™ stack. It looks across cells, packs, charging sites and storage assets simultaneously to decide where, when and how energy flows. Instead of isolated projects, fleets and infrastructures become one connected energy network — from formation to grid level.
Five domain categories. 15+ applications. All covered under a single patent family.
Battery formation, fast charging, energy stations, green hydrogen
5 domainsSemiconductor annealing, electroplating, anodizing, dissolution
4 domainsGraphene exfoliation, fusion power, electrochemical synthesis, HyCap
6 domainsGP Sim, GP Pat, ChemPat designer — software layer
3 products16 papers, 106 patent claims, PCT + USPTO coverage
106 claimsEvery GP product runs the same licensed GPC control logic. Software and firmware remain fully controlled by GigaPulse at every tier.
Simulation, pattern design, ChemPat synthesis. Zero hardware required.
Physical validation of simulation outputs. 4-channel, real-time V/I/T.
Per-node deployment. Licensed firmware. Core recurring IP revenue.
Mega-scale orchestration. EV networks, BESS, industrial hubs.
Strategic partnerships, IP licensing, OEM integration, and investor inquiries handled under NDA.
AC and DC describe the direction of current flow. GPC introduces a third dimension: the temporal structure of delivery. The shape of the current waveform becomes a controllable, optimizable design variable — not a fixed parameter.
GP Sim ships with 13 built-in archetypes. Custom LUT mode accepts any waveform — the design space is unbounded. A few representative forms:
Mass transport
SEI model
Thermal response
Minimum-stress derivation
Multi-source ready
I_min/I_max/freq stored
Direct GP Module load
Current stays constant while the electrochemical interface evolves — a fundamental mismatch from the first millisecond.
Uneven SEI growth, lithium plating risk, localised stress — all byproducts of time-invariant control on a time-variant system.
Chemistry-agnostic by design — the same profile applied to every cell, regardless of kinetics, temperature, or state of health.
S(t) adapts the current profile to what the interface actually needs — millisecond by millisecond, cycle by cycle.
Uniform SEI nucleation, controlled ion flux, reduced thermal stress — outcomes of matching control to chemistry.
ChemPat derives the minimum-stress pattern from your exact electrode data. Not a template — a derivation.
The same S(t) control logic applies wherever current interacts with an electrochemical interface — from a single cell to a gigawatt storage site.
Battery formation, fast & mega charging, BESS grid stability, green hydrogen electrolysis, energy stations.
Semiconductor annealing, electroplating, anodizing, electrodissolution — precision current for process control.
Graphene exfoliation, fusion power pulsing, electrochemical synthesis, HyCap hybrid capacitor charging.
GP Sim simulation, GP Pat pattern design, ChemPat synthesis — the full software layer, no hardware required.
GPC is not a concept. It is a formally described, mathematically defined, independently documented technology — covered by an international patent family and supported by 16 published research papers.
Battery formation, lifetime management, grid-scale charging, first-charge commissioning, and green hydrogen production — all unified under the GPC framework.
The SEI forms once — in the first cycles after manufacture. GPC controls its nucleation and growth with millisecond precision. Stable, uniform SEI means lower impedance growth rate, predictable capacity retention, and faster formation cycles. Same racks produce more GWh without new hardware.
Fast charging kills batteries through lithium plating, SEI overgrowth, and thermal stress. GPC shapes current waveforms to match the anode’s real-time intercalation capacity — reducing peak ΔT from ~32°C to ~10°C. In-field pack optimization extends cycle life beyond 1,000 cycles to 80% SoH.
High-power charging sites break the grid proportionality problem: more vehicles = more peak demand. GPC Energy Station uses temporal power multiplexing — phase-shifting charging patterns across vehicles so aggregate grid draw stays within a controlled envelope. No substation upgrade required.
Cells ship at ~30% SoC. The first full charge in a sealed pack is electrochemically critical — first exposure to upper voltage, first BMS interaction, first thermal load. GPC protocols align module behavior and equalize divergence before sealing, reducing OEM rework and warranty exposure.
PEM and alkaline electrolyzers suffer from membrane degradation, electrode passivation, and declining Faradaic efficiency under DC operation. GPC patterns reduce overpotential, suppress parasitic reactions, and improve gas evolution selectivity — increasing hydrogen output per kWh consumed.
Semiconductor annealing, surface coating, electrochemical machining — industrial processes where interfacial dynamics determine product quality.
Power semiconductor devices require controlled electrical conditioning to activate dopants, heal junction defects, and stabilize carrier injection profiles. GPC applies precisely defined current patterns across device terminals — replacing or augmenting thermal annealing with electrical pattern excitation.
Conventional DC plating produces non-uniform nucleation and surface morphology. GPC controls nucleation kinetics through temporal current structure — improving deposit grain size, uniformity, and adhesion. In etching applications, pattern control shapes removal rate and selectivity.
Anodizing of aluminium, titanium, and niobium produces oxide layers whose morphology depends on the current profile during growth. GPC controls pore geometry, barrier thickness, and surface uniformity — enabling application-specific coatings for aerospace, medical, and semiconductor end-use.
Electrochemical dissolution (ECM, electropolishing) is used in precision machining and surface finishing. GPC patterns control the local dissolution rate and surface uniformity — enabling tighter dimensional tolerance and smoother finishes than DC or conventional pulsed processes.
From single-atom-thick graphene to fusion plasma — GPC’s temporal control principle applies wherever current drives material transformation.
GPC applies structured current excitation to condition p-n junctions and passivation layers — activating carrier mobility and mitigating LID/PID effects.
GPC controls MEA break-in with patterns that hydrate membranes uniformly, activate catalyst layers progressively, and shape overpotential distribution.
GPC balances faradaic and non-faradaic charge storage — two mechanisms with fundamentally different time constants — through patterns that address rate capability and ageing simultaneously.
GPC separates intercalation from exfoliation into distinct pattern phases — maximizing single-layer yield and minimizing structural damage in 2D material production.
GPC’s pattern control architecture at megajoule scale — shaping temporal energy delivery to reduce stress loading on capacitor banks and stabilize plasma heating behavior.
CO₂ reduction, N₂ fixation, organic synthesis. GPC suppresses competing reactions (HER), enhances selectivity toward target products, and stabilizes catalyst surfaces.
Design, simulate, and validate GPC protocols digitally before any physical deployment. The GP software stack is the entry point to the entire ecosystem.
Digital twin for pattern-based current control. Simulate SEI formation, fast charging, and custom current profiles before physical deployment. LFP, NMC, LCO, sodium-ion, solid-state chemistries. Exports validated LUTs directly to GP Modules.
Algorithmic pattern design and ChemPat synthesis engine. Input electrode kinetics, mass transport, and thermal parameters via .gpchei files — derive the minimum-stress pattern for that exact electrochemical system. FIFO-Deterministic 1024-point LUT output, multi-source ready.
Physical validation hardware for GP Sim outputs. 4 independent channels, each with real-time V/I/T monitoring, LUT_1024 recipe execution, and JSON import/export. CC-CV-Lite mode with full GPC pattern overlay. Emergency stop, live diagnostics, clone/detail per channel.
GPC is not a product claim — it is a published scientific framework with a formal international patent family. Each application domain has a dedicated paper and dedicated claim coverage.
Establishes the theoretical foundation of GPC. The pattern shape is the design variable. Surveys all application domains and establishes the mathematical framework used across all subsequent papers.
FoundationSEI forms once. GPC controls its nucleation — reducing formation time 40–60%, scrap rate 8%→2%, extending cycle life +67%. Primary commercial target for battery manufacturers.
Battery FormationElectrochemical stress reduction through temporal current shaping. Peak ΔT: 32°C → 10°C. SoH at 200k km: 78% → 92%. In-field optimization protocol for deployed packs.
Fast ChargingBreaks proportionality between charger count and peak grid demand. Phase-shifted charging patterns across vehicles. Peak demand −20–30%. No substation upgrade required.
Energy StationThe critical 30%→100% commissioning charge. GPC precision aligns module behavior pre-seal, reducing OEM rework and warranty exposure. Divergence equalization before BMS sealing.
Pack CommissioningStructured current excitation for p-n junction conditioning. Activates carrier mobility and mitigates light-induced degradation and potential-induced degradation effects.
PV SystemsPattern-controlled break-in for membrane electrode assembly. Uniform hydration, progressive catalyst activation, controlled overpotential distribution. Reduces conditioning time and extends MEA lifetime.
Fuel CellsDual-mechanism charge storage aligned through temporal pattern control. Addresses fundamentally different time constants of faradaic and EDLC storage in a single protocol.
HyCapPattern-driven dopant activation and defect healing across device terminals. Electrical complement or replacement for thermal annealing in power semiconductor conditioning.
SemiconductorTemporal current structure for nucleation kinetics control. Improved grain size, deposit uniformity, and adhesion. Selectivity and removal rate control in etching applications.
IndustrialPattern-driven overpotential reduction and HER/OER selectivity improvement for PEM and alkaline electrolyzers. Increased hydrogen output per kWh. Extended membrane lifetime.
Green H₂Pore geometry and barrier thickness design through pattern selection (XI). Precision material removal rate and surface uniformity in ECM and electropolishing applications (XII).
Surface TreatmentIntercalation and exfoliation as distinct GPC-controlled phases. Single-layer yield maximization, defect density reduction in scalable 2D material production.
Advanced MaterialsTemporal energy delivery shaping at megajoule scale. Reduces stress loading on capacitor banks. Stabilizes plasma heating and magnetic confinement discharge envelopes.
FusionPattern-driven HER suppression, product selectivity enhancement, and catalyst surface stabilization. Improved Faradaic efficiency in green chemistry applications.
Green ChemistryPhysiologically validated GPC waveforms for transcranial, neuromuscular, and implantable stimulation (Claims 95–96). Electrochemical pollutant degradation via pattern-controlled oxidation (Claim 100).
Biomedical · EnvironmentEvery GP product runs the same licensed GPC control logic. Software and firmware remain fully controlled by GigaPulse at every tier.
Digital twin for pattern-based current control. Simulate SEI formation, fast charging, and custom current profiles. Exports validated LUTs to GP Modules.
ChemPat synthesis engine. Input electrode kinetics via .gpchei — derive the minimum-stress pattern for that exact system. 1024-point LUT output, multi-source ready.
Controlled 4-channel laboratory unit. Real-time V/I/T per channel. LUT_1024 recipe execution. JSON import. CC-CV-Lite with full GPC overlay.
Industrial-grade, certification-level testing. Modular architecture, scalable channel count, industrial I/O. Higher power envelopes than GP Lab.
Per-node unit deployed at each production stage. Formation lines, first charge, BESS, PV, semiconductor, electrolysis. Licensed firmware — patterns load via GP Module Writer only.
Licensing gateway. Uploads validated GPC patterns into GP Modules. Every industrial deployment passes through this gateway — ensuring IP enforcement and pattern monetization.
Central orchestration of multiple GP Modules across a facility. Multi-line synchronization, performance analytics, factory-level GPC management.
40-channel synchronized GPC for EV charging networks, utility-scale BESS, data center energy orchestration, and industrial distribution hubs. Same pattern control engine at infrastructure scale.
Results shown are scenario-based projections. Full technical package and pricing detail available under NDA.