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The problem of consciousness remains one of science's most enduring challenges, particularly the Hard Problem — the difficulty of explaining subjective experience and phenomenal content. While modern models correlate brain activity with conscious states, they often lack causal mechanisms to resolve this issue. This work proposes a theoretical framework based on neural mass dynamics and thermodynamics, aiming to resolve the Hard Problem by conceptualizing consciousness as a nonlocal phenomenal field modulated by neural energy dynamics. I introduce neurentelechy — a measure of energy dissipation linked to conscious content — and formalize how brain energy organizes qualia and intentional objects within a temporally structured virtual framework. Using indexed qualia vectors, I develop a mathematical formalism to represent intentional objects and their transformations. The model yields testable predictions grounded in energy-based neural coding, entropy dissipation, and neurodynamic fluctuations, providing a falsifiable framework aligned with computational neuroscience. This approach integrates neuroscience, thermodynamics, and phenomenology, suggesting consciousness as a structural field property of reality, potentially resolving the Hard Problem.