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Large Language Models in Code Generation: Capabilities, Limits, and Safety

Chen Wei

In: Machine Learning and Artificial Intelligence: Trends and Applications

We systematically evaluate large language models (LLMs) for automated code generation across multiple programming languages and task types. Our study assesses functional correctness, security vulnerabilities, and alignment with developer intent using a novel benchmark suite. We discuss prompt engineering strategies that improve generation quality and safety filtering mechanisms.

Hydrogen Storage Technologies: Current Status and Future Prospects

Kwame Asante

In: Sustainable Energy Systems and Technologies

Hydrogen is increasingly viewed as a key energy carrier for decarbonizing heavy industry and long-haul transportation. This chapter reviews solid-state, liquid, and compressed gas hydrogen storage technologies, comparing gravimetric density, volumetric density, safety characteristics, and economic costs. Emerging metal-organic framework materials are highlighted as promising directions.