Autonomous Discovery of Green Inhibitors

该项目旨在通过整合进化算法和机器人实验来开发自主材料设计。该项目有望开拓一种新的材料发现方法，将发现时间缩短到传统方法的20%。它有望通过发现对人类和环境都安全的新型缓蚀剂而具有重要意义。该项目的预期成果将是一种快速发现方法，可用于材料科学和新型安全缓蚀剂。这将为工作场所的安全和涂料行业的环境影响提供显着的好处，同时也增加了新材料创新的速度。

The project aims to develop autonomous material design by integrating evolutionary algorithms and robotic experimentation. The project expects to pioneer a new method of materials discovery that could cut discovery times to 20% of traditional methods. Its expected to have significance through its discovery of new classes of corrosion inhibitors that are safe to both humans and the environment. The expected outcomes of this project will be a rapid discovery methodology that can be used across materials science and new classes of safe corrosion inhibitors. This should provide significant benefits to workplace n safety and the environmental impact of the coatings industry while also increasing the rapid of innovation of new materials.