.png){kind=icon}
返回
An object-oriented framework to enable workflow evolution across materials acceleration platforms
.png){kind=icon}
OA
AI
DOI：10.1016/j.matt.2022.08.017.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Progress in data-driven self-driving laboratories for solving mate-rials grand challenges has accelerated with the advent of machine learning, robotics, and automation, but they are usually designed with specific materials and processes in mind. To develop the next generation of materials acceleration platforms (MAPs), we propose a unified framework to enable collaboration between MAPs, leveraging on object-oriented programming principles using research groups around the world that would be able to effectively evolve experimental workflows. We demonstrate the framework via three experimental case studies from disparate fields to illustrate the evolution of, and seamless integration between, workflows, pro-moting efficient resource utilization and collaboration. Moving for-ward, we project our framework on three other research areas that would benefit from such an evolving workflow. Through the wide adoption of our framework, we envision a collaborative, con-nected, global community of MAPs working together to solve scientific grand challenges.
Keyword:
MATERIALS DISCOVERY
MACHINE
COMPUTATION
期刊
IF:
17.5
论文数:
2.5K
被引数:
1.8W
机构
引用论文
分享收藏分享收藏Automated microfluidic platform for systematic studies of colloidal perovskite nanocrystals: towards continuous nano-manufacturing.png)
LAB ON A CHIP
LAB ON A CHIPIF5.4
PREAI
分享收藏Solar fuels photoanode materials discovery by integrating high-throughput theory and experiment通过整合高通量理论和实验发现太阳能燃料光阳极材料
OAAI
OAAI分享收藏A nanomaterials discovery robot for the Darwinian evolution of shape programmable gold nanoparticles用于形状可编程金纳米颗粒的达尔文进化的纳米材料发现机器人NATURE COMMUNICATIONSOAAI
NATURE COMMUNICATIONSIF15.7
OAAI分享收藏Autonomous experimentation systems for materials development: A community perspectiveMATTEROAAI
MATTERIF17.5
OAAI分享收藏
查看更多内容