Google DeepMind's AI tool, GNoME, predicted over 400,000 stable substances, enabling A-Lab's robotic system to discover 41 new inorganic materials for clean energy. The AI system discovered more than 2.2 million hypothetical materials, including 381,000 stable new materials. This breakthrough in materials discovery research is considered the next frontier for AI.
From Fiction to Lab: AI is Now Inventing Materials of the Future! MatterGen: a generative model for inorganic materials design. Shhh, don't tell @leecronin https://t.co/6nDFfRDqNp
Google DeepMind created an #AI system that discovered more than 2.2 million hypothetical materials, including 381,000 stable new materials https://t.co/ncSBBfHpdC
A new tool from Google DeepMind predicts nearly 400,000 stable substances, and an autonomous system learns to make them in the lab. Carla Gomes, professor of @Cornell_CS, says this materials discovery research by peers “is the next frontier for AI." https://t.co/9aifR80ixF https://t.co/oy45XinjZm
Google DeepMind created an #AI system that discovered more than 2.2 million hypothetical materials, including 381,000 stable new materials https://t.co/ncSBBfHpdC
AI meets materials science: the promise and pitfalls of automated discovery https://t.co/ivlFJEaHnf
Scientists make remarkable strides in #MaterialScience using #AI & #Robotics. @DeepMind's GNoME predicted 400K stable substances, fueling A-Lab’s robotic system to autonomously create new materials & discover 41 new inorganic materials for clean energy. https://t.co/I6GgL9SHbo https://t.co/SJj8t39nu1
ChatGPT for chemistry: AI and robots join forces to build new materials https://t.co/JKupdPkE50
Google DeepMind researchers use AI tool to find 2mn new materials https://t.co/J9NWnPrGpy