Research Publications

Whitepapers

Technical whitepapers from Physivitis on quantum security, cryptographic measurement, and deep-tech research. All publications are free to download.

PBPF FrameworkPublished

Multi-Physics Battery Pack Design in Two Seconds

A Three-Layer Coupled Framework for Integrated Battery Pack Optimisation Across Vehicle Dynamics, Cell Chemistry, and Pack Architecture

Battery pack design for electric vehicles currently takes one to two weeks per iteration. PBPF-IDO solves all three layers: vehicle energy demand, cell chemistry, and pack architecture as a single coupled optimisation in approximately two seconds, with a worked 500 km EV example included.

Rene C. Mugenziv1.0202612 pagesPatent Pending

Battery Pack DesignMulti-PhysicsPBPF-IDOElectric Vehicles

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QRESB FrameworkPublished

Beyond Algorithm Migration

A Six-Dimension Framework for Auditable Cryptographic Security in the Post-Quantum Era

The migration to NIST-standardised post-quantum cryptographic algorithms is necessary but not sufficient. This whitepaper introduces the QRESB framework: a structured method for combining six independent evidence dimensions of cryptographic assurance into a single auditable assessment with a QRESB Assurance Index.

Rene C. Mugenziv1.2202616 pagesPatent Pending

Post-Quantum CryptographyUSMCQRESBCybersecurity

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PSMB FrameworkPublished

Physics-Grade Cryptographic Assurance for the Quantum Era

Proving what cannot be broken. Verified, not forecast.

Instead of predicting when a quantum computer will arrive, PSMB measures the limits of what any attacker can ever physically do and expresses the result as a single, clear security margin. A positive margin means the asset is safe; a negative margin means it is provably breakable.

Physivitis LtdJune 20265 pagesUK Patent GB2613815.6

Cryptographic AssuranceQuantum SecurityPSMBPhysics-Based

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A1-PET · QUDL FrameworkPublished

Sharper Images, Lower Dose

A software calibration method for coincidence discrimination in PET imaging

A software-only calibration that improves how a PET scanner separates true coincidences from random and scattered ones. In simulation, it reduced random coincidence identification error from ~11% to ~1% — enabling either a lower patient dose or sharper images, retrofittable to existing scanners.

Physivitis LtdJune 20264 pagesPatent pending GB2613829.7

PET ImagingQuantum DetectionMedical PhysicsQUDL

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QABRE FrameworkPublished

Quantum-AI Blockchain Resilience

A real-time resilience framework defending distributed ledgers against the combined quantum and AI threat

QABRE continuously computes a live resilience score for blockchain validators, wallets, transactions and signing devices. It removes compromised validators from consensus before they can sign a malicious block — acting before damage rather than penalising it afterwards.

Physivitis LtdJune 2026Version 1.0Patent-pending GB2613808.1

BlockchainQuantum SecurityQABREValidator Resilience

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More publications in preparation

Additional whitepapers covering quantum sensing, autonomous systems, and materials science will be published here as they are completed.