Enhancing Liquefied Natural Gas supply chain robustness through digital twin-driven machine learning models: A special case of cryogenic heat exchanger
<p>The Liquefied Natural Gas (LNG) supply chain plays a critical role in the global energy sector but remains vulnerable to technical disruptions that compromise operational stability. Equipment failures pose significant risks, leading to production halts and quality degradation. This paper pr...
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2025
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