Researchers in Korea have developed an artificial intelligence (AI) technology that predicts molecular properties by learning ...

By learning electron-level information, Korean researchers have created an artificial intelligence (AI) tool that can ...

Solving life's great mysteries often requires detective work, using observed outcomes to determine their cause. For instance, ...

Figuring out certain aspects of a material's electron structure can take a lot out of a computer—up to a million CPU hours, in fact. A team of Yale researchers, though, are using a type of ...

Plasmons are collective oscillations of electrons in a solid and are important for a wide range of applications, such as ...

What we found in the last few years is that AI is a very powerful tool for understanding the structures of these molecules,” Townshend says. He notes that, traditionally, methods for understanding ...

That certainly echoes the dot-com bubble - but Goldman Sachs' Jim Covello, Citadel's Ken Griffen, and market strategist Ed Yardeni all warn that the AI bubble could be even worse. Read: OpenAI is ...

People who barely knew what a website was were suddenly investing in any company with “dot-com” in its name. Tech stocks soared—and soon enough, the bubble burst. Today, the rise of AI is ...

The team trained a generative AI model on 40,000 known atomic structures to develop a system that is able to make sense of these inferior X-ray patterns. The machine learning technique, called ...

Electron density prediction for a four-million-atom aluminum system using machine learning, deemed to be infeasible using traditional DFT method. × Researchers from Michigan Tech and the University of ...