Reaxys AI Search
Reaxys AI Search 是 Reaxys 新增的自然語言檢索功能,使用者可用一般語句查找化學文獻與專利,系統會根據查詢意圖回傳高度相關的文獻,並附上信心分數與匯出功能,方便研究者快速整理與分析。
- 可用自然語言查詢。
Ask questions in everyday language. e.g."How is Olaparib synthesized?" - 能識別專業術語的同義詞與常見拼寫差異。
Identifies synonyms and common spelling variations of technical terms. - 查詢結果不會無中生有,限資料庫收錄內容(涵蓋約 121 百萬篇文件及46萬種專利)。
Retrieve context-aware results from 121M+ documents and 46M patents. - 不只找到文章,還能跟 Reaxys 內建的工具連動:例如輸入一個化合物名稱或合成問題 →AI Search 找出相關文獻 → 可以直接點進去看合成路徑(reaction pathway)或用 Predictive Retrosynthesis 工具,快速得到可能的合成方法,還能看到實驗條件(溫度、溶劑、收率等),不用再重新輸入一次關鍵字,從找到文獻到查看實驗細節是連貫的。
Beyond finding articles, seamlessly integrate with Reaxys' built-in tools: e.g., enter a compound name or synthesis question → AI Search locates relevant literature → directly view synthesis pathways or use Predictive Retrosynthesis to quickly identify potential synthesis routes, including experimental conditions (temperature, solvent, yield, etc.). No need to re-enter keywords—the process flows seamlessly from finding literature to reviewing experimental details. - 查詢結果附帶信心分數(0–1),方便使用者快速評估相關性。
Search results include confidence scores (0–1) for quick relevance assessment. - 可匯出搜尋結果(CSV):便於後續整理、統計或匯入其他分析工具做進一步處理。
Export search results (CSV): Convenient for subsequent organization, statistics, or import into other analytical tools for further processing.
Example
Search for “application of the PARP inhibitor Olaparib for cancer therapy” (A) and get results that include the exact terms (B), recognized synonyms (C), and relevant variations (D). You can easily export the search results as a CSV file (E) for further use.
Reaxys Login: Reaxys - Chemistry Database
- 自2025年7月起,採雙認證機制︰IP + 個人帳號 登入
Reaxys Login is based on a dual authentication mechanism from July 2025 : IP + Personal Account - 帳號已經是以KMU的email(@kmu.edu.tw)申請可直接使用,之前以非KMU的email(@kmu.edu.tw) 申請,請在校園網域內重新申請一組KMU個人帳號。
Personal Account: If you already have an account with KMU email address (@kmu.edu.tw), you can use it directly.If you have an accountnot the KMU email address (@kmu.edu.tw), please reapply for a KMU personal account within the campus network.