search
HomeTechnology peripheralsAIAI leads the revolution in materials science! Google DeepMind's latest research published in Nature successfully predicted 2.2 million new materials

Using only one AI, we have acquired the knowledge that it took humans nearly 800 years to develop!

This is a material discovery tool newly researched by Google DeepMind. The paper has been published on Nature.

AI leads the revolution in materials science! Google DeepMinds latest research published in Nature successfully predicted 2.2 million new materials

With this AI tool alone, they discovered 2.2 million theoretically stable new crystal materials, which will not only predict the accuracy of material stability It has increased from 50% to 80%, and 380,000 types have been put into testing.

AI leads the revolution in materials science! Google DeepMinds latest research published in Nature successfully predicted 2.2 million new materials

Google DeepMind said that given that 28,000 stable materials have only been discovered in the past 10 years, this research is equivalent to nearly 800 years of knowledge accumulation.

AI leads the revolution in materials science! Google DeepMinds latest research published in Nature successfully predicted 2.2 million new materials

Industry experts are really eye-opening at the rapid progress

According to the Financial Times, MIT professor Bilge Yildiz commented on this research:

This vast database of inorganic crystals should be filled with gems waiting to be discovered to advance solutions to clean energy and environmental challenges.

Currently, this topic has become a hot topic on Zhihu:

AI leads the revolution in materials science! Google DeepMinds latest research published in Nature successfully predicted 2.2 million new materials

So what kind of AI tool is this?

What does the new tool GNoME look like

This article proposes a new tool called GNoME (Graph Networks for Materials Exploration).

The architecture of GNoME is a graph neural network (GNN), in which nodes are used to represent atoms in the crystal structure, and edges are used to represent bonding relationships# in the crystal structure. ##.

AI leads the revolution in materials science! Google DeepMinds latest research published in Nature successfully predicted 2.2 million new materials

Subsequently, GNoME used a series of known stable material data sets for training, including Materials Project, Open Quantum Materials Database (OQMD), etc.

This tool discovers new material through

active learning.

First, candidate structures are generated based on known stable materials; then, GNoME will screen these candidate structures

AI leads the revolution in materials science! Google DeepMinds latest research published in Nature successfully predicted 2.2 million new materials

Of course, GNoME initially screens out The structure cannot be used directly, but the structural stability needs to be verified based on density functional theory (DFT).

Subsequently, these verified structures will be fed to GNoME again as new training data to improve its prediction capabilities.

GNoME eventually discovered more than 2.2 million new stable crystal structures, which is the result of this approach

At the same time, it also showed With certain generalization ability, it can even accurately predict structures containing more than 5 unique elements. AI leads the revolution in materials science! Google DeepMinds latest research published in Nature successfully predicted 2.2 million new materials

So, what does this newly discovered 2.2 million stable crystal materials do? AI leads the revolution in materials science! Google DeepMinds latest research published in Nature successfully predicted 2.2 million new materials

What are 2.2 million kinds of crystals used for?

The most intuitive point of view is that there is hope for progress in the fields of new energy batteries (such as solar cells), superconductors, and chips.

Although GNoME can currently only calculate theoretically stable crystalline materials, once the experimental synthesis is successful, their properties can be evaluated

These newly discovered stable crystalline materials will undergo superconducting , ferroelectrics, optoelectronics and other properties, they can be used in fields such as energy, information communications and sensing.

According to reports, researchers have synthesized 736 materials in the laboratory to prove that GNoME calculated Crystals can be synthesized.

In addition, the synthesized materials may also be used as guidance for the design of new materials, or as new data sets to train and optimize other AI models.

For example, the University of California, Berkeley, and Lawrence Berkeley National Laboratory have used these discovered materials as part of their experimental work, and the paper was also published in Nature.

The team built an A-Lab and successfully synthesized 41 compounds from 58 calculated materials, with a success rate of more than 70%.

Regarding this research, some netizens are already imagining the prospect of materials taking off, such as the progress of pharmacy:

AI leads the revolution in materials science! Google DeepMinds latest research published in Nature successfully predicted 2.2 million new materials

Some netizens also cue a wave of enthusiasm LK-99 gradually calmed down: Materials Science is back.

AI leads the revolution in materials science! Google DeepMinds latest research published in Nature successfully predicted 2.2 million new materials

Some people hope that these discovered materials can be beneficial to the entire human race

AI leads the revolution in materials science! Google DeepMinds latest research published in Nature successfully predicted 2.2 million new materials

Do you think these AI prediction materials are still good? In what fields can it be applied?

The above is the detailed content of AI leads the revolution in materials science! Google DeepMind's latest research published in Nature successfully predicted 2.2 million new materials. For more information, please follow other related articles on the PHP Chinese website!

Statement
This article is reproduced at:51CTO.COM. If there is any infringement, please contact admin@php.cn delete
How to Run LLM Locally Using LM Studio? - Analytics VidhyaHow to Run LLM Locally Using LM Studio? - Analytics VidhyaApr 19, 2025 am 11:38 AM

Running large language models at home with ease: LM Studio User Guide In recent years, advances in software and hardware have made it possible to run large language models (LLMs) on personal computers. LM Studio is an excellent tool to make this process easy and convenient. This article will dive into how to run LLM locally using LM Studio, covering key steps, potential challenges, and the benefits of having LLM locally. Whether you are a tech enthusiast or are curious about the latest AI technologies, this guide will provide valuable insights and practical tips. Let's get started! Overview Understand the basic requirements for running LLM locally. Set up LM Studi on your computer

Guy Peri Helps Flavor McCormick's Future Through Data TransformationGuy Peri Helps Flavor McCormick's Future Through Data TransformationApr 19, 2025 am 11:35 AM

Guy Peri is McCormick’s Chief Information and Digital Officer. Though only seven months into his role, Peri is rapidly advancing a comprehensive transformation of the company’s digital capabilities. His career-long focus on data and analytics informs

What is the Chain of Emotion in Prompt Engineering? - Analytics VidhyaWhat is the Chain of Emotion in Prompt Engineering? - Analytics VidhyaApr 19, 2025 am 11:33 AM

Introduction Artificial intelligence (AI) is evolving to understand not just words, but also emotions, responding with a human touch. This sophisticated interaction is crucial in the rapidly advancing field of AI and natural language processing. Th

12 Best AI Tools for Data Science Workflow - Analytics Vidhya12 Best AI Tools for Data Science Workflow - Analytics VidhyaApr 19, 2025 am 11:31 AM

Introduction In today's data-centric world, leveraging advanced AI technologies is crucial for businesses seeking a competitive edge and enhanced efficiency. A range of powerful tools empowers data scientists, analysts, and developers to build, depl

AV Byte: OpenAI's GPT-4o Mini and Other AI InnovationsAV Byte: OpenAI's GPT-4o Mini and Other AI InnovationsApr 19, 2025 am 11:30 AM

This week's AI landscape exploded with groundbreaking releases from industry giants like OpenAI, Mistral AI, NVIDIA, DeepSeek, and Hugging Face. These new models promise increased power, affordability, and accessibility, fueled by advancements in tr

Perplexity's Android App Is Infested With Security Flaws, Report FindsPerplexity's Android App Is Infested With Security Flaws, Report FindsApr 19, 2025 am 11:24 AM

But the company’s Android app, which offers not only search capabilities but also acts as an AI assistant, is riddled with a host of security issues that could expose its users to data theft, account takeovers and impersonation attacks from malicious

Everyone's Getting Better At Using AI: Thoughts On Vibe CodingEveryone's Getting Better At Using AI: Thoughts On Vibe CodingApr 19, 2025 am 11:17 AM

You can look at what’s happening in conferences and at trade shows. You can ask engineers what they’re doing, or consult with a CEO. Everywhere you look, things are changing at breakneck speed. Engineers, and Non-Engineers What’s the difference be

Rocket Launch Simulation and Analysis using RocketPy - Analytics VidhyaRocket Launch Simulation and Analysis using RocketPy - Analytics VidhyaApr 19, 2025 am 11:12 AM

Simulate Rocket Launches with RocketPy: A Comprehensive Guide This article guides you through simulating high-power rocket launches using RocketPy, a powerful Python library. We'll cover everything from defining rocket components to analyzing simula

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

VSCode Windows 64-bit Download

VSCode Windows 64-bit Download

A free and powerful IDE editor launched by Microsoft

EditPlus Chinese cracked version

EditPlus Chinese cracked version

Small size, syntax highlighting, does not support code prompt function

WebStorm Mac version

WebStorm Mac version

Useful JavaScript development tools

MinGW - Minimalist GNU for Windows

MinGW - Minimalist GNU for Windows

This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.