English(EN) Dynamic language model representations for multi-objective reaction optimisation

语言模型动态学习化学反应表示以进行优化

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-11 04:00

研究人员开发了一种新颖的方法，通过使用微调的语言模型从文本中动态学习表示来优化化学反应。该方法与高斯过程和贝叶斯优化相结合，可将表示适应于特定的反应系统，其性能优于传统的独热编码和分子描述符等方法。该技术成功应用于钯催化氰化反应和不对称氢化反应的优化，在预期实验中实现了高产率和高对映选择性。 AI

影响这项研究展示了语言模型在科学发现中的新颖应用，有望加速化学合成和材料科学的发展。

排序理由学术论文，描述了使用语言模型进行反应优化的新方法。[lever_c_demoted from research: ic=1 ai=1.0]

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本文如何被排名

Signal score: 11 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 学术论文，描述了使用语言模型进行反应优化的新方法。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: paper, model release; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: Same-day; Cluster formed today. Ranking reflects the current source set at time of score.

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arXiv cs.LG TIER_1 English(EN) · Joshua W. Sin, David Ming Segura, Bojana Rankovi\'c, Siu Lun Chau, Marius D. R. Lutz, Andrea Anelli, Ryan P. Burwood, Kurt P\"untener, Maximilian J. Notheis, Raphael Bigler, Philippe Schwaller · 2026-09-11 04:00

多目标反应优化的动态语言模型表示

arXiv:2609.11790v1 Announce Type: new Abstract: Optimising chemical reactions across multiple objectives, such as yield, selectivity, and safety, is central to chemical synthesis, and model-driven approaches depend critically on how reaction components are represented. Establishe…