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Updated: Jul 12, 2025

Surrogate Model Development for Digital Experiments in Welding
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在变压器语言模型中准确,可解释地预测材料特性

Vadim Korolev1, Pavel Protsenko1

  • 1Department of Chemistry, Lomonosov Moscow State University, 119991 Moscow, Russia.

Patterns (New York, N.Y.)
|October 25, 2023
PubMed
概括

我们开发了一种使用语言模型准确预测材料特性的新方法. 这种方法使复杂的人工智能模型可解释和可用于材料科学研究.

关键词:
可解释的人工智能精细调整 精细调整语言模型语言模型房地产预测 房地产预测变压器 变压器 变压器

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