...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Catalysis science & technology >Prospects and challenges for autonomous catalyst discovery viewed from an experimental perspective
【24h】

Prospects and challenges for autonomous catalyst discovery viewed from an experimental perspective

机译：从实验角度观察的自动催化剂发现的前景和挑战

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The urgency with which fundamental questions of energy conversion and the sustainable use of raw materials must be solved today requires new approaches in catalysis research. One way is to couple high-throughput experiments with machine learning methods in autonomous catalyst development. The fact that the active form of a catalyst is only created under working conditions and that the catalytic function is always in a very complex relationship with a number of physical and chemical properties of the material makes it essential to integrate operando experiments into systems of autonomous catalyst development. The analysis of the current state of the art and knowledge revealed a lack of integration of the numerous, technically very different unit operations in catalyst discovery and a great need for new developments in online and in situ analytics, especially in catalyst synthesis. To pave the way for autonomous processing of work packages by robots, it is proposed to advance the automation of single unit operations currently performed by human researchers by introducing standard operating procedures described in handbooks. The work according to rigorous protocols produces, on the one hand, reliable data that can be evaluated using artificial intelligence and facilitates on the other hand the automation. Special attention should be paid to the acquisition and real-time evaluation of analytical data in in situ and operando experiments as well as the automatic storage of data and metadata in databases.
机译：今天必须解决的基本能量转化和可持续使用原材料的紧迫性问题需要在催化研究中采取新的方法。一种方法是在自主催化剂开发中使用机器学习方法进行高通量实验。催化剂的活性形式仅在工作条件下创建，并且催化功能始终与材料的许多物理和化学特性保持非常复杂的关系，因此将操作集实验集成到自主催化剂系统中至关重要发展。对当前艺术和知识状态的分析表明，在催化剂发现中缺乏众多，技术上截然不同的单位操作，并且对在线和原位分析中的新发展非常需要，尤其是在催化剂合成中。为了为机器人自主处理工作包的自主处理铺平道路，建议通过引入手册中描述的标准操作程序来促进人类研究人员当前执行的单个单元操作的自动化。一方面，根据严格的协议的工作可以使用人工智能评估可靠的数据，另一方面可以促进自动化。应特别注意对原位和操作实验中的分析数据的获取和实时评估，以及数据库中数据和元数据的自动存储。

著录项

相似文献

  • 外文文献
  • 中文文献
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号