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August 23, 2025ProcessesOpen Access

A Comparative Review of Large Language Models in Engineering with Emphasis on Chemical Engineering Applications

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Authors

KLKhoo-Teck LeongLSLee Tin SinSBSoo-Tueen Bee

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Overview

This review explores the evolution of large language models in engineering, highlighting their impact on chemical engineering applications.

Key Points

  • Large language models enhance chemical engineering through applications like process simulation and molecular design.
  • Models like GPT-3 achieve 87.7% accuracy in structured information extraction, revolutionizing engineering tasks.
  • The review assesses the evolution of AI and LLMs, emphasizing transformer architecture and their integration in engineering fields.
  • Challenges in deploying LLMs include the necessity for domain-specific adaptation and rigorous validation of outputs.

Cite This Study

Leong et al. (2025) studied this question.

synapsesocial.com/papers/68af5bc7ad7bf08b1eae00cchttps://doi.org/10.3390/pr13092680
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