
Schematic of an artificial neural network predicting a stable garnet crystal prototype. Image credit: Weike Ye
Artificial neural networks—algorithms inspired by connections in the brain—have “learned” to perform a variety of tasks, from pedestrian detection in self-driving cars, to analyzing medical images, to translating languages. Now, researchers at the University of California San Diego are training artificial neural networks to predict new stable materials.
“Predicting the stability of materials is a central problem in materials science, physics and chemistry,” said senior author Shyue Ping Ong, a nanoengineering professor at the UC San Diego Jacobs School of Engineering. “On one hand, you have traditional chemical intuition such as Linus Pauling’s five rules that describe stability for crystals in terms of the radii and packing of ions. On the other, you have expensive quantum mechanical computations to calculate the energy gained from forming a crystal that have to be done on supercomputers. What we have done is to use artificial neural networks to bridge these two worlds.”
By training artificial neural networks to predict a crystal’s formation energy using just two inputs—electronegativity and ionic radius of the constituent atoms—Ong and his team at the Materials Virtual Lab have developed models that can identify stable materials in two classes of crystals known as garnets and perovskites. These models are up to 10 times more accurate than previous machine learning models and are fast enough to efficiently screen thousands of materials in a matter of hours on a laptop. The team details the work in a paper published Sept. 18 in Nature Communications.
“Garnets and perovskites are used in LED lights, rechargeable lithium-ion batteries, and solar cells. These neural networks have the potential to greatly accelerate the discovery of new materials for these and other important applications,” noted first author Weike Ye, a chemistry Ph.D. student in Ong’s Materials Virtual Lab.
The team has made their models publicly accessible via a web application at http://crystals.ai. This allows other people to use these neural networks to compute the formation energy of any garnet or perovskite composition on the fly.
The researchers are planning to extend the application of neural networks to other crystal prototypes as well as other material properties.
Learn more: Scientists use artificial neural networks to predict new stable materials
The Latest on: Artificial neural network
[google_news title=”” keyword=”artificial neural network” num_posts=”10″ blurb_length=”0″ show_thumb=”left”]
via Google News
The Latest on: Artificial neural network
- REAL ESTATE MINUTE with Cyril Nii Ayitey Tetteh: How Artificial Intelligence (AI) is changing real estateon February 9, 2023 at 3:32 am
Such platforms usually use Artificial Neural Networks which not only predicts the possible cost overrun but also allow managers to save from their planned budget. The most common historical data and ...
- Artificial Intelligence in Content Creationon February 9, 2023 at 3:09 am
Little Black Book, newage's Polina Kedis explores what AI is in terms of content, what AIs are on the market and how we can interact with them ...
- Is artificial intelligence helping Q-C students cheat?on February 8, 2023 at 7:44 am
ChatGPT — an artificial intelligence chatbot — is forcing Quad-City educators to consider how it can be used and misused.
- Artificial intelligence is a powerful tool. But in the climate fight, humans still reign supremeon February 7, 2023 at 2:10 am
Machine learning is producing impressive results, and, for better or worse, researchers are now using it to address the climate crisis, writes Frederick Hewett.
- Artificial Neural Networks Market 2023 (Newest 121 Pages Report) is Booming Worldwide 2029on February 6, 2023 at 5:25 pm
According to 360 Market Updates (360marketupdates.com) this latest study, the 2023 development of Third-Party Replacement Strap for Artificial Neural Networks market will have huge change from earlier ...
- Neural DSP Quad Cortexon January 31, 2023 at 4:00 pm
[LEFT][URL="https://www.thomann.de/es/neural_dsp_quad_cortex.htm"]Neural DSP Quad Cortex[/URL][/LEFT][B][/B][LEFT][URL="https://www.thomann.de/es/neural_dsp_quad ...
- Qué es ChatGPT, el revolucionario sistema de inteligencia artificial que preocupa a algunos expertoson January 29, 2023 at 3:59 pm
ChatGPT responde en cuestión de segundos a una petición aleatoria sobre cómo "escribir un poema sobre inteligencia artificial al estilo de Carlos Drummond de Andrade"; la calidad del resultado ...
- Inteligencia artificialon January 28, 2023 at 10:02 pm
También es sumamente inquietante. Se trata del ChatGPT, una especie de prototipo de inteligencia artificial. Este sistema está generando mucha polémica y mucha expectación en todo el mundo, porque ...
- Inteligencia artificial, lo que las empresas mexicanas han entendido de ellaon January 27, 2023 at 9:01 am
Las empresas mexicanas invertirán durante este 2023 una importante suma en herramientas en inteligencia artificial. Se han implementado en grandes empresas departamentos dedicados al desarrollo ...
via Bing News