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Elsevier
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Press release

Elsevier introduces Reaxys AI Search, enabling faster and more accessible chemistry research through natural language discovery​

2025年7月31日

With Reaxys AI Search, chemists and R&D teams can explore over 121 million chemistry documents, patents and peer-reviewed journal articles, unlocking more relevant insights faster and accelerating discovery.

Reaxys AI Search avoids the need to construct complex keyword searches, making it invaluable for interdisciplinary research such as materials science, chemical engineering, and polymer science.

Elsevier, a global leader in advanced information and decision support in science and healthcare, introduces Reaxys AI Search, an innovative addition to the Reaxys platform that leverages AI-driven natural language processing to transform chemistry research. Reaxys is the first chemistry database to introduce natural language document search to enhance the discoverability of relevant documents as researchers navigate vast amounts of complex chemical research information.

Reaxys AI Search is especially impactful in interdisciplinary R&D fields such as materials science, chemical engineering, and polymer science, as it eliminates the need to construct complex keyword searches. Instead, Reaxys AI Search interprets user intent, handles spelling variations, abbreviations and synonyms, and returns the most relevant documents for each query. This means chemists, chemical and material engineers, polymer scientists, pharmaceutical and biotech professionals, academic researchers and other users spend less time searching for relevant insights and more time focusing on discovery and innovation.

Built on Reaxys’ trusted and comprehensive database, Reaxys AI Search taps into over 121 million documents, including patents and peer-reviewed journal articles, to consistently deliver high levels of precision and recall in the answers it provides.

Reaxys AI Search, developed through testing with hundreds of chemists, is an important step in the AI transformation of Reaxys, following the release of the award-winning Reaxys Predictive Retrosynthesis. Future releases will see further refinements of the AI search options, along with advanced summarization capabilities.

Mirit Eldor, Managing Director, Life Sciences, Elsevier, said: “Reaxys AI Search marks a major step in making chemistry data more accessible and actionable. By enabling natural language queries, we aim to lower barriers for researchers across disciplines and experience levels to find the information they need faster and with greater confidence. Launching this early version allows us to deliver immediate value to researchers while gathering feedback to continually refine the solution as part of our commitment to innovation that helps advance human progress.”

The early release version of Reaxys AI Search is available now to all Reaxys users. Users can access this feature within the existing platform alongside the existing structure and keyword search options, providing immediate hands-on experience. Elsevier remains committed to working closely with the scientific community to refine and expand this technology, ensuring it meets the evolving needs of chemistry research.

Reaxys AI Search was developed in accordance with Elsevier’s Responsible AI Principles and Privacy Principles, prioritizing data privacy, security, and transparency. All user interactions are private, with no data used to train external models, and results are generated from trusted, curated content.

To learn more or request access to the Reaxys AI Search, visit https://www.elsevier.com/products/reaxys.

關於 Elsevier

身為科學資訊與分析的全球領導者,Elsevier 協助研究人員與醫療照護專業人員推動科學發展,改善醫療成果,造福社會。我們以可信賴、以實證為基礎的內容和先進的 AI 數位技術為基礎,透過創新的解決方案促進洞察力和關鍵決策。

140 多年來,我們一直為研究和醫療保健界的工作提供支援。我們全球 9,500 名員工,包括 2,300 名技術人員,致力於支援研究人員、圖書館館長、學術領袖、資金提供者、政府、研發密集型公司、醫生、護士、未來醫療保健專業人員和教育工作者的重要工作。我們的 2,900 種科學期刊和經典參考工具書包括其領域中最重要的書籍,包括 Cell Press、The Lancet 和 Gray's Anatomy。 我們與愛思唯爾基金會 (Elsevier Foundation) 合作,與我們服務的社群攜手合作,在發展中國家和世界各地的科學、研究和醫療保健領域推動包容性和多樣性。 Elsevier 是 RELX 的一部分,RELX 是一家為專業和商業客戶提供以資訊為基礎的分析和決策工具的全球供應商。有關我們的工作、數位解決方案和內容的更多資訊,請造訪 www.elsevier.com

聯絡人

MP

Mathew Pitt-Bailey

Global Communications Director

Elsevier

+44 (0) 7353 890 322

電子郵件 Mathew Pitt-Bailey