By reviewing three decades of AI applications in electrocatalysis, researchers reveal how the field has shifted from isolated data analysis toward end-to-end, data-driven discovery. The work ...

High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.

Personnel won't be able to fully process all the data available on the modern battlefield. That's where artificial ...

Metals are made of randomly oriented crystals at the microscopic-length scale. The alignment of the crystal faces creates an infinite number of configurations and complex patterns, making simulations ...

New name better aligns with company's mission to help power the future of human performance The rebrand and new funding ...

High school students gain PhD-led mentorship, publish original research, and build real-world AI models through ...

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

Ivan Stefanov, CEO and Co-Founder of NOTO, shares how AI, machine learning and unified platforms are reshaping financial crime prevention for institutions ...

Discover what sets human intelligence apart in this artificial intelligence comparison. Learn why human vs AI reveals ...

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...

The University of Louisiana at Lafayette unveils a new PhD blending AI, data science and leadership, with online and ...

By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.