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一个基于大型语言模型的框架,从科学文献中获取生命周期库存和环境影响数据

Avan Kumar1, Farshid Nazemi2, Hariprasad Kodamana3,4,5

  • 1School of Sustainability, Arizona State University, Tempe, Arizona 85288, United States.

Environmental science & technology
|October 16, 2025
PubMed
概括

本研究介绍了Sustain-LLaMA,这是一个经过重新训练的大型语言模型 (LLM),用于自动化生命周期库存 (LCI) 数据检索以进行环境影响评估. 该工具提高了可持续性研究的准确性和效率.

关键词:
环境影响数据环境影响数据大型语言模型生命周期库存数据 生命周期库存数据文学 采矿 采矿 采矿甲醇合成的方法塑料包装 处理 EoL 处理

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