[1/4] Late to the party but super excited to have published our work at @GoogleDeepMind on materials discovery in @Nature! We showed how scaling data from quantum mechanical simulations led to GNNs that generalize well and can be used to reliably find new inorganic crystals.
Introducing GNoME: an AI tool that helped discover 2.2 million new crystals. 💎
Crystals are found in everything from the chips powering our phones to solar cells creating clean energy.
The model also better predicts the stability of new materials. 🧵 dpmd.ai/GNoME-AI
[3/4] The data has also been used to train ML force-fields, which also improve predictably with training examples! These models can even be used to predict whether a material is a good ionic conductor.
[4/4] Amazing to have worked on this project with these incredible people: @simonbatzner, @sschoenholz, @draykol, @INeedCoffeeTho, and @ekindogus.
Paper: nature.com/articles/s41586-0…
Blog: dpmd.ai/GNoME-AI
Data: github.com/google-deepmind/m… and materialsproject.org/gnome
Amil Merchant retweeted
Google DeepMind researchers have discovered 2.2mn crystal structures that open up the way to potential progress in fields from renewable energy to advanced computation on.ft.com/3R2P4kB
Amil Merchant retweeted
Google DeepMind researchers say they’ve expanded the number of known stable materials by 380,000. Some could be useful for everything from batteries to superconductors—if they can make them.
📹Marilyn Sargent/Berkeley Lab // 🔗wired.trib.al/tWAHvBG
Amil Merchant retweeted
👉 Major AI progress out of @BerkeleyLab with Google
To transform the future of superconductors, power systems, electric vehicles, and other clean energy tech — we need new materials.
A new algorithm to predict them + an AI-driven robotic lab to make them aims to do just that.
Researchers use our Materials Project to develop new materials for future tech - think better batteries or solar cells. With new #materials calculated by @GoogleDeepMind, they’ll have even more data to work with. @Nature #AI #FutureTech
The latest ⬇️
newscenter.lbl.gov/2023/11/2…
Amil Merchant retweeted
Published in @Nature: our AI system for material design ‘GNoME’ that found 380,000 new materials (which we’ve made freely available to the research community) with potential to accelerate greener tech from better batteries to more efficient superconductors deepmind.google/discover/blo…
Amil Merchant retweeted
Introducing GNoME: an AI tool that helped discover 2.2 million new crystals. 💎
Crystals are found in everything from the chips powering our phones to solar cells creating clean energy.
The model also better predicts the stability of new materials. 🧵 dpmd.ai/GNoME-AI