Does anyone know if the AI also figured out how to make any of these materials, or if it only assessed that they could probably exist in a stable state? This article isn't clear about that but it seems like the answer is the latter.
this post was submitted on 29 Nov 2023
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It seems like they have an automatic lab that tested 58 of them and 41 were successfully synthesized. So 70% success
I hope it indicates what they may be useful for? Because testing even a small percentage of those would be a huge undertaking.
in pharmacology they have automated assays to test like 100k compounds in a day. it's called High-throughput screening (HTS). I'm sure material science has something similar
This is the best summary I could come up with:
The trove of theoretically stable but experimentally unrealized combinations identified using an AI tool known as GNoME is more than 45 times larger than the number of such substances unearthed in the history of science, according to a paper published in Nature on Wednesday.
The number of substances found is equivalent to almost 800 years of previous experimentally acquired knowledge, DeepMind estimated, based on 28,000 stable materials being discovered during the past decade.
Two potential applications of the new compounds include inventing versatile layered materials and developing neuromorphic computing, which uses chips to mirror the workings of the human brain, Cubuk said.
The team deployed computation, historical data, and machine learning to guide an autonomous laboratory, known as the A-lab, to create 41 novel compounds from a target list of 58โa success rate of more than 70 percent.
The key to the improvements was how AI techniques were combined with existing sources such as a large data set of past synthesis reactions, he added.
The techniques outlined in the two Nature papers would enable new materials to be identified โwith the speeds necessary to address the grand challenges of the world,โ said Bilge Yildiz, a Massachusetts Institute of Technology professor who was not involved in either piece of research.
The original article contains 592 words, the summary contains 209 words. Saved 65%. I'm a bot and I'm open source!
Humanity has achieved future tech 1
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