Engineering Under Constraint, How AI Works Inside Physical Law

Energy technologies rarely fail on physics, they fail on discipline. Neutrinovoltaics reverse that pattern by starting with limits, not outcomes. Artificial intelligence plays a continuous but bounded role, navigating complex material parameter spaces, stabilizing resonance and impedance matching, and enforcing reproducibility in manufacturing and deployment. It never creates energy, never overrides conservation, and never outranks measurement. Models propose, instruments decide. What emerges is not spectacle, but reliability, a system that performs within verified physics, every time.

Der Beitrag Engineering Under Constraint, How AI Works Inside Physical Law erschien zuerst auf NEUTRINO ENERGY®.