{"id":272887,"date":"2023-12-08T19:43:09","date_gmt":"2023-12-08T14:13:09","guid":{"rendered":"https:\/\/forumias.com\/blog\/?p=272887"},"modified":"2023-12-08T19:43:09","modified_gmt":"2023-12-08T14:13:09","slug":"gnome-google-deepminds-ai-breakthrough-could-revolutionize-chip-battery-development","status":"publish","type":"post","link":"https:\/\/forumias.com\/blog\/gnome-google-deepminds-ai-breakthrough-could-revolutionize-chip-battery-development\/","title":{"rendered":"GNoME: Google DeepMind\u2019s AI breakthrough could revolutionize chip, battery development"},"content":{"rendered":"

Source: <\/b>The post is based on the article<\/span> \u201c<\/b>GNoME: <\/b>Google DeepMind\u2019s AI breakthrough could revolutionize chip, battery development\u201d<\/b> published in <\/span>\u201cIndian Express\u201d on 8th December 2023<\/b><\/p>\n

Why in the News?<\/strong><\/h2>\n

Researchers at Google DeepMind have developed a new <\/span>Deep Learning Artificial Intelligence (AI) tool called <\/span>GNoME <\/b>to discover new materials.<\/span><\/p>\n

What is GNoME?<\/strong><\/h2>\n

GNoME stands for Graph Networks for Materials Exploration. It <\/span>is a Deep Learning AI tool developed by researchers at Google DeepMind.<\/span><\/p>\n

Purpose: <\/b>To discover new materials and predict material stability.\u00a0<\/span><\/p>\n

What has been discovered by GNoME till now?<\/strong><\/h2>\n
\"GNoME\"
Source:<\/strong> Indian Express<\/figcaption><\/figure>\n

GNoME is said to have discovered over <\/span>2.2 million new materials including 380,000 materials that it predicts to be stable.<\/span><\/p>\n

This breakthrough that could have wide-reaching application in sectors such as renewable energy, battery research, semiconductor design and computing efficiency.<\/p>\n

How does GNoME work?<\/strong><\/h2>\n
\"GNoME\"
Source:<\/strong> Indian Express<\/figcaption><\/figure>\n

1) GNoME is a graph neural network model (GNN)<\/strong> where the input data for the model takes the form of a graph that can then be likened to connections between atoms.<\/span><\/p>\n

2) It was trained using<\/span>\u00a0active learning<\/b> (a type of machine learning technique used to scale up a model first trained on a small specialised dataset)
\n<\/span>– This technique is great for discovering new materials because it can find patterns beyond what’s in the original dataset.<\/span><\/p>\n

3) <\/span>It then<\/span> combines two pipelines<\/strong> to discover new stable materials :
\na. Structural- creates candidates with structures similar to known crystals.
\nb. Compositional- a randomised approach based on chemical formulas .<\/span><\/p>\n

4) The predictions made by it are then evaluated using <\/strong><\/span>Density Functional Theory <\/strong>(a <\/span>technique used in physics, chemistry and materials science to understand atomic structures and assess crystal stability).<\/span><\/p>\n

What is the significance of GNoME?<\/strong><\/h2>\n

1) <\/span>GNoME has significantly improved the accuracy of predicting material stability <\/strong><\/span>from 50% to approximately 80%.<\/span><\/p>\n

2) <\/span>It has increased the number of known stable materials<\/strong>. This could lead to the development of new technologies such as more efficient batteries and superconductors.<\/span><\/p>\n

3) It uses filters to narrow down the list of potential materials. This saves time and money<\/strong> by avoiding the need to synthesize and test materials that are unlikely to be stable.<\/span><\/p>\n

UPSC Syllabus: Science and Technology<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"

Source: The post is based on the article \u201cGNoME: Google DeepMind\u2019s AI breakthrough could revolutionize chip, battery development\u201d published in \u201cIndian Express\u201d on 8th December 2023 Why in the News? Researchers at Google DeepMind have developed a new Deep Learning Artificial Intelligence (AI) tool called GNoME to discover new materials. What is GNoME? GNoME stands… Continue reading GNoME: Google DeepMind\u2019s AI breakthrough could revolutionize chip, battery development<\/span><\/a><\/p>\n","protected":false},"author":10317,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"footnotes":""},"categories":[1738,1],"tags":[11872,10500],"class_list":["post-272887","post","type-post","status-publish","format-standard","hentry","category-science-and-technology-daily-factly-articles","category-uncategorized","tag-9pm-daily-factly","tag-indian-express","entry"],"jetpack_featured_media_url":"","views":{"total":8,"cached_at":"","cached_date":1702069176},"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/forumias.com\/blog\/wp-json\/wp\/v2\/posts\/272887","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/forumias.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/forumias.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/forumias.com\/blog\/wp-json\/wp\/v2\/users\/10317"}],"replies":[{"embeddable":true,"href":"https:\/\/forumias.com\/blog\/wp-json\/wp\/v2\/comments?post=272887"}],"version-history":[{"count":0,"href":"https:\/\/forumias.com\/blog\/wp-json\/wp\/v2\/posts\/272887\/revisions"}],"wp:attachment":[{"href":"https:\/\/forumias.com\/blog\/wp-json\/wp\/v2\/media?parent=272887"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/forumias.com\/blog\/wp-json\/wp\/v2\/categories?post=272887"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/forumias.com\/blog\/wp-json\/wp\/v2\/tags?post=272887"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}