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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Article
Author(s)
Bahman Zohuri
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DOI:10.17265/1934-8975/2025.03.005
Affiliation(s)
Ageno School of Business, Golden Gate University, San Francisco 94105, California, USA
ABSTRACT
This article presents a comprehensive framework for advancing
sustainable transportation through the integration of next-generation energy
technologies. It explores the convergence of Vernova green energy, nuclear
fission from ARCs (advanced reactor concepts) and SMRs (small modular reactors),
and future-focused nuclear fusion methods—MCF (magnetic confinement fusion) and
ICF (inertial confinement fusion). Central to this integration is the use of AI
(artificial intelligence) to enhance smart grid efficiency, enable real-time
optimization, and ensure resilient energy delivery. The synergy between these
zero-carbon energy sources and AI-driven infrastructure promises a
transformative impact on electric mobility, hydrogen-powered systems, and
autonomous transport. By detailing the architecture of an AI-augmented,
carbon-neutral transport ecosystem, this paper contributes to the roadmap for
future global mobility.
KEYWORDS
Sustainable transportation, zero-carbon energy, Vernovagreen energy, ARCs, SMRs, MCF, ICF, AI, smart grids,energy-efficient mobility.
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