EnergeticaX Journal

This paper proposes a structured framework for evaluating and enhancing compatibility between human cognitive systems and artificial intelligence architectures. The NOEM (Normalized Cognitive-Energetic Model) is introduced as a foundation for compatibility assessment across institutional and industrial contexts.

An analysis of how institutions respond to increasing information density driven by AI adoption. The paper develops metrics for institutional resilience and proposes adaptive governance models suited to knowledge-intensive economies.

Examines the problem of semantic drift in large-scale AI systems and proposes engineering-level solutions grounded in cognitive science. Introduces the concept of Semantic Anchoring as a mechanism for maintaining stable meaning structures in AI-assisted decision environments.

A systems-level analysis of SMR deployment opportunities in the MENA region. The study assesses grid integration, desalination co-deployment, hydrogen production and regulatory readiness across six target markets, providing a staged deployment roadmap through 2040.

Presents the IMPC (Integrated Membrane Power Cycle) framework for industrial produced water treatment, combining energy generation, mineral recovery and zero liquid discharge. Case studies from the UAE and broader MENA region are included.