AlphaFlow: autonomous discovery and optimization of multi-step chemistry using a self... | RTCL.TV
Channel: STEM RTCL TV
Date: 2023-06-16

### Keywords ###
#Autonomousexploration #materialsdesign #designspace #highdimensionality #Autonomous #data #presentAlphaFlow #RTCLTV #shorts

### Article Attribution ###
Title: AlphaFlow: autonomous discovery and optimization of multi-step chemistry using a self-driven fluidic lab guided by reinforcement learning
Authors: Amanda A. Volk, Robert W. Epps, Daniel T. Yonemoto, Benjamin S. Masters, Felix N. Castellano, Kristofer G. Reyes ,and Milad Abolhasani
Publisher: Nature Portfolio
DOI: 10.1038/s41467-023-37139-y
DOAJ URL: https://doaj.org/article/53583aec6d8c48d5b72a2f63c2bcffbc
Source URL: https://doi.org/10.1038/s41467-023-37139-y



### Image Attribution ###
We used stable diffusion to programmatically generate the background images. Viewer discretion is advised.

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### Video Timestamps ###
0:00:00 - Summary 
0:00:16 - Title 
0:00:23 - End