genioux Fact post by Fernando Machuca and ChatGPT
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In a groundbreaking leap for material science, Google DeepMind has harnessed the power of artificial intelligence to discover a staggering 2.2 million previously unknown crystal structures. Published in Nature, this remarkable achievement is poised to reshape the landscape of materials research and innovation.
Crystalline Diversity Unleashed
Crystals, with their diverse applications ranging from solar panels to microchips, are an expansive family of compounds defined by their repeating atomic structures. DeepMind's machine-learning tool, aptly named gnome (Graph Networks for Materials Exploration), ventured beyond the known realms, using existing chemical structure libraries to predict and unveil an extraordinary array of 2.2 million new crystal structures, each a scientific novelty.
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To validate the accuracy of gnome's predictions, DeepMind collaborated with researchers from the University of California, Berkeley. Out of 58 compounds selected from the predictions, an impressive 41 were successfully synthesized in just over two weeks. Notably, since the initiation of DeepMind's research, over 700 additional crystals have been produced by various research groups.
DeepMind's commitment to advancing research doesn't end with predictions. The company has made a subset of what they consider the 381,000 most stable structures publicly available. This subset holds many promising crystals, including thousands with structures conducive to superconductivity and several hundred potential lithium-ion conductors, a boon for battery technologies.
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Aron Walsh, a materials scientist at Imperial College London, acknowledges the significance of DeepMind's work but emphasizes that this is just the beginning. The vast universe of materials extends beyond crystals, from amorphous solids to gases and liquids. DeepMind's focus on crystals forming under specific conditions opens the door to a broader exploration of materials.
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Unveiling Hidden Rules
While the practical utility of the 2.2 million new crystals is yet to be determined, the techniques employed by DeepMind's AI offer invaluable insights. Beyond crystal predictions, AI could unravel the elusive rules governing their formation. One notable discovery by DeepMind challenges prior assumptions, revealing thousands of senary crystals previously thought to be rare.
A Future of Possibilities
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The question of whether these newfound crystals will find practical applications remains open, but the potential for groundbreaking discoveries is evident. DeepMind's foray into the uncharted territories of crystal structures not only expands the materials repository but also sets the stage for a more profound understanding of how these materials form.
As Ekin Dogus Cubuk at DeepMind points out, the journey has just begun. The implications of this AI-driven exploration extend far beyond the discovery of crystals, promising a future where artificial intelligence guides scientists through the vast landscape of materials science, saving time and opening doors to unprecedented innovations.
REFERENCE
The GK Article
A Google AI has discovered 2.2m materials unknown to science, The Economist, November 29, 2023.
Bing Chatbot: The Economist
"The Economist" is a British weekly newspaper that is printed in a magazine format and also published digitally¹. It was founded in 1843 by Scottish economist James Wilson¹. The publication focuses on current affairs, international business, politics, technology, and culture¹.
The Economist is known for its social-libertarian slant and maintains that free markets provide the best method of running economies and governments³. It has a pronounced editorial stance around classical, social, and most notably economic liberalism¹. Despite this, it is seen as having little reporting bias, and is known for its rigorous fact-checking and strict copyediting¹.
The newspaper is owned by The Economist Group, with its core editorial offices in the United States, as well as across major cities in continental Europe, Asia, and the Middle East¹. In 2019, its average global print circulation was over 909,476; this, combined with its digital presence, runs to over 1.6 million¹.
The Economist is supplemented by its sister lifestyle magazine, 1843, and a variety of podcasts, films, and books¹. Individual articles are written anonymously, with no byline, in order for the paper to speak as one collective voice¹..
Source: Conversation with Bing, 11/21/2023
(1) The Economist - Wikipedia. https://en.wikipedia.org/wiki/The_Economist.
(2) The Economist | British Magazine & Global News Source. https://www.britannica.com/topic/The-Economist.
(3) News Summaries | The Economist. https://www.economist.com/news-summaries.
(4) The Economist Review 2023 | Moneywise. https://moneywise.com/news/economy/the-economist-review.
(5) Getty Images. https://www.gettyimages.com/detail/news-photo/atmosphere-at-the-economist-and-sothebys-present-the-art-of-news-photo/818427682.
The categorization and citation of the genioux Fact post
Categorization
Type: Breaking Knowledge, Free Speech
g-f(2)1655: The Juice of Golden Knowledge
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References
“genioux facts”: The online program on "MASTERING THE BIG PICTURE OF THE DIGITAL AGE”, g-f(2)1594, Navigating the World with AI - The Realities of AI-Powered Travel Planning, Fernando Machuca and ChatGPT, November 16, 2023, Genioux.com Corporation.
“genioux facts”: The online program on "MASTERING THE BIG PICTURE OF THE DIGITAL AGE”, g-f(2)1594, Empowering Independence - Microsoft's Collaboration with Be My Eyes and ChatGPT-4, Fernando Machuca and ChatGPT, November 15, 2023, Genioux.com Corporation.
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| g-f(2)1592 genioux Wisdom Unveiled (gWU): Unpacking Knowledge with ChatGPT |
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