高通量智能一体化表征实验技术研究进展  

Research progress of high-throughput intelligent integrated characterization experimental techniques

作　　者：陈学斌 赵雷[1,2,3] 杨丽霞 沈学静[1,2,3] 杨敬巍 王洋[1,2] 王海舟 CHEN Xuebin;ZHAO Lei;YANG Lixia;SHEN Xuejing;YANG Jingwei;WANG Yang;WANG Haizhou(Central Iron and Steel Research Institute Co.,Ltd.,Beijing 100081,China;Beijing Key Laboratory of Metal Materials Characterization,NCS Testing Technology Co.,Ltd.,Beijing 100081,China;NCS Jiangsu Testing Technology Co.,Ltd.,Kunshan 210000,China)

机构地区：[1]钢铁研究总院有限公司,北京100081 [2]金属材料表征北京市重点实验室,钢研纳克检测技术股份有限公司,北京100081 [3]钢研纳克江苏检测技术研究院有限公司,江苏昆山210000

出　　处：《冶金分析》2025年第1期1-10,共10页Metallurgical Analysis

基　　金：国家重点基础研究发展计划(No.2023YFA1609204)。

摘　　要：本文综述了国内外学者将高通量表征技术与智能一体化思想相结合,并在此基础上开发出高通量智能一体化表征技术,新方法帮助研究人员加快筛选和实验,通过快速探索数据及优化自身条件进行研究。高通量智能一体化表征技术的研究包括模块化化学自主实验平台、药物合成自主实验室、薄膜自主制备表征平台等;这些研究集成智能机器人与分立组合模块、高通量制备系统、理化性能高通量测试系统,构建出自动化一体化-智能化的实验物理平台,并在此基础上建立筛选—制备—采集—传输—储存—分析—反馈自动化流程。基于此自主研发了一体化定位系统及统计映射数据库,为材料的高通量表征提供新的思路,为材料的研发提供数据支撑。The high-throughput intelligent integrated characterization techniques,which were developed by researchers home and abroad based on the combination of high-throughput characterization techniques with intelligent integration concepts,were reviewed in this article.These new methods could help researchers accelerate the screening and experimentation by quickly exploring data and optimizing research conditions.The researches of high-throughput intelligent integrated characterization techniques included the modular chemical autonomous experimentation platforms,autonomous drug synthesis laboratories,and autonomous thin-film preparation and characterization platforms.These studies integrated intelligent robots with discrete combination modules,high-throughput preparation systems,and high-throughput physical and chemical performance testing systems to conduct autonomous experiments on material preparation and characterization.An automated,integrated,and intelligent physical experimental platform was constructed.And on this basis,an automated process of screening-preparation-collection-transmission-storage-analysis-feedback was established.An integrated positioning system and statistical mapping database were independently developed to provide new ideas for high-throughput characterization of materials and data support for material research and development.

关 键 词：高通量表征技术 人工智能 一体化实验 自动化实验室 

分 类 号：O657[理学—分析化学]