Skip to playerSkip to main contentSkip to footer
  • 5/14/2025
Google's AI breakthrough! 🀯 GNoME has discovered millions of new materials β€” a revolution that could reinvent batteries, energy storage, and much more πŸ”‹πŸ’‘. This could be the future of materials science and clean energy innovation! 🌍✨

#GoogleAI #GNoME #AIBreakthrough #MaterialScience #BatteryInnovation #AIRevolution #CleanEnergy #FutureTech #ArtificialIntelligence #MachineLearning #AI2025 #NextGenTech #TechNews #SmartMaterials #EnergyStorage #GreenTech #Innovation #NeuralNetworks #DeepLearning #ScienceNews
Transcript
00:00so google deep mind the brains behind the ai system alpha fold which predicts protein structures
00:07has now unveiled another remarkable ai tool gnome this new tool is a game changer in the field of
00:13ai capable of discovering hundreds of thousands perhaps even millions of new materials at an
00:19unprecedented pace in this video i'll delve into what gnome is all about its functioning and the
00:25significant impact it is set to have on material science and other areas all right so gnome is a
00:31tool designed for something pretty special in science discovering new materials its full name
00:37is graph networks for material exploration and it's all about using deep learning a type of
00:42artificial intelligence to figure out the structure and characteristics of new materials just from their
00:48chemical makeup why is this important well materials play a huge role in our lives they're in everything
00:54from the solar panels on roofs to the batteries in our phones and the chips in our computers
00:59if we can find materials that are better cheaper or more eco-friendly it could really help tackle
01:04big issues like energy storage normally finding these new materials is a long and hard process
01:10scientists spend years mixing and testing different elements trying to get the right combination that has
01:16the properties they want and even when they find something that works they might not fully understand
01:21why or how to make it even better this is where gnome is a game changer it looks at all the information
01:27we already have on materials and uses that to predict new ones it can quickly tell us if a material will
01:32be stable the energy required to create it and its structure what's amazing is that gnome can do
01:39this analysis for millions of materials in just a few hours a task that would normally take years gnome and
01:45alpha fold from google deep mind both use deep learning for different purposes alpha fold works
01:51on predicting protein shapes crucial for life made of amino acids that fold in complex ways gnome on the
01:58other hand predicts material structures it focuses on how atoms the building blocks of materials come
02:04together to form various crystal shapes so what has gnome achieved so far well in a recent paper published in
02:11nature google deep mind and their collaborators reported some amazing results they used gnome to
02:16predict the structures for 2.2 million new materials which is equivalent to nearly 800 years of knowledge
02:23and they didn't just stop there they also created and tested over 700 of these materials in the lab
02:30using a robotic system that can synthesize and characterize new materials automatically and guess what they
02:36found that gnome's predictions were very accurate with a success rate of over 90 percent gnome works
02:42through two main models the first one gnome stability predicts how likely a material is to be stable based
02:48on its composition for instance if you input iron and oxygen it assesses if they can form a stable material
02:56this model uses a graph neural network to process data where it represents materials as a network of atoms
03:02nodes connected by bonds edges the second model gnome decomposition calculates the energy required to
03:09break down a material it takes the material's composition and stability like iron oxide and
03:15figures out the energy needed to separate it back into iron and oxygen this model uses a transformer network
03:21suited for sequential data like text to analyze the sequence of material components together these models
03:27allow gnome to evaluate a wide range of materials from simple to complex and help identify the most
03:34promising ones for further study based on their stability and decomposition energy now let's look
03:39at some examples of materials that gnome has discovered these materials synthesized and tested in labs
03:44using robotics show promise for use in solar cells batteries and computer chips for instance copper zinc tin
03:52sulfide czts is great for thin film solar cells it's cheaper and more flexible than traditional cells
03:59and excels at converting sunlight into electricity gnome's predictions about its stability and low breakdown risk
04:05were confirmed by lab tests another material lithium iron phosphate lfp is ideal for lithium ion battery cathodes
04:13used in electric vehicles and gadgets it's energy efficient and durable and gnome accurately predicted its stability
04:20which lab tests verified zinc tin nitride ztn could revolutionize transistor manufacturing for computer
04:26chips it conducts electricity quickly and switches efficiently between on and off states gnome's predictions
04:33about its structural stability and low decomposition were also confirmed in the lab so gnome's incredible
04:39journey into uncharted material territories shows us just how much ai can change our world don't forget to hit
04:45that subscribe button and give this video a like if you're as excited about this technology as we are
04:51thank you for watching and i'll see you in the next one

Recommended