After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...

Understanding the origin of heavy elements on the periodic table is one of the most challenging open problems in all of ...

A research team involving University of Iowa chemists reports a new oxidation state for a rare earth chemical element, a ...

The willingness of the 4f orbitals of lanthanide metals to participate in chemical reactions is as rare as their presence in ...

Author Dava Sobel discusses how she discovered the many forgotten female scientists who were mentored by Marie Curie in early ...

They created a “periodic table” of over 20 classical machine-learning algorithms, showing how they are all connected through ...

China restricts the export of seven rare earth minerals essential for EVs, electronics, and defence; explore the full list ...

While composed of sub-wavelength structures, Frequency Selective Surfaces are capable of manipulating electromagnetic ...

Gold is on a historic run, fueled by uncertainty and buying by central banks and individuals. How it fits in a portfolio.

A new “periodic table for machine learning,” is reshaping how researchers explore AI, unlocking fresh pathways for discovery.

The rare-earth mineral dysprosium, used for magnets in electric-vehicle motors, is among exports China slowed in response to ...

In a first, researchers have developed a new copper alloy that's one of the most resilient copper-based materials ever made.