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In a groundbreaking leap, a Google Deepmind AI tool has propelled materials science into uncharted territories by uncovering a staggering 2.2 million new inorganic crystals, offering a glimpse into a future that was previously thought to be centuries away. This monumental achievement, driven by Deepmind’s Graph Networks for Materials Exploration (GNoME) deep learning tool, promises not just a leap but an 800-year leap in stable materials known to humanity. GNoME’s AI tool unearths crystals Under the GNoME system’s keen eye, 380,000 of these newfound crystals have been identified as highly stable, providing researchers with a meticulously curated list to further explore and synthesize for experimental research. The potential impact of these materials is nothing short of revolutionary, spanning from superconductors powering supercomputers to next-gen batteries enhancing the efficiency of electric vehicles. Among the remarkable discoveries are 52,000 new layered compounds reminiscent of graphene, introducing the possibility of revolutionizing electronics through the development of superconductors. This revelation dwarfs the previously identified 1,000 such materials, opening up unprecedented avenues for technological innovation. Also, the GNoME tool has uncovered 528 potential lithium-ion conductors, a staggering 25 times more than in previous studies. This abundance holds the key to enhancing the performance of rechargeable batteries, potentially reshaping the landscape of energy storage and electric vehicles. Deepmind’s collaborative vision and robotic synthesis Deepmind’s commitment to advancing scientific progress doesn’t stop with these discoveries. All findings and predictions made by GNoME are being shared with the Next Gen Materials Project, fostering collaboration and providing researchers worldwide with free access to this wealth of data. The aim is to catalyze the creation and experimentation on these new materials, further accelerating the pace of technological evolution. Not content with just groundbreaking discoveries, Deepmind has collaborated with Berkeley Lab to introduce a robotic laboratory capable of autonomously synthesizing these…

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Filed under: News - @ November 30, 2023 7:18 am