Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy (XAS) is an important technique for this, as it reveals detailed insights ...

AI is changing how we create, deliver and measure learning. But in my experience working in professional development, the seismic shifts we’re seeing in this sector aren't rooted in AI tool adoption ...

A research team led by Prof. Yousung Jung of the Department of Chemical and Biological Engineering at Seoul National University (SNU) has developed an innovative AI-based technology that uses large ...

The era has arrived in which artificial intelligence (AI) autonomously imagines and predicts the structures and properties of new materials. Today, AI functions as a researcher's "second brain," ...

Cambridge-based CuspAI, an artificial intelligence company developing a platform to revolutionize how the world discovers and develops new materials, said today it has raised $100 million in an ...

Design engineering is running headfirst into a materials bottleneck. Industries such as automotive, aerospace, electronics, and semiconductors now depend on increasingly complex materials. Yet ...

Materials research relies on intuition-driven exploration, where chemists and engineers tweak tiny elements in compositions or processes and then wait to see the result. This approach is powerful - ...

Princeton University will be one of five higher education partners in a new National Science Foundation Artificial Intelligence Materials Institute (NSF AI-MI), marking a major investment in AI-driven ...

Predicting material properties remains a major challenge in materials science, as it often requires complex and computationally intensive calculations. In particular, understanding how materials ...

Arizona State University soft launched a web app earlier this month that allows anyone, for $5 per month, to create an apparently unlimited number of customized “learning modules” using artificial ...