News Feature

Researchers developed new methods that produce intense attosecond pulses and pulse pairs to gain insights into the fastest motions inside atoms and molecules. It could lead to advancements in fields ranging from chemistry to materials science.

Two determined fellows share their thoughts on representation, mentorship and staying true to themselves in STEM.

Machine learning is becoming an essential part of a physicist’s toolkit. How should new students learn to use it?

Physics may seem like its own world, but different sectors using machine learning are all part of the same universe. 

The first reflective coating was applied to Vera C. Rubin Observatory’s 8.4-meter combined primary/tertiary mirror using the observatory’s onsite coating chamber.

SLAC is taking part in a multi-institutional effort to help reach net-zero carbon emissions goals in difficult-to-electrify industries.

Scientists inside and outside of particle physics and astrophysics are leaning on AI for assistance with complex tasks.

Do you know your convolutional neural networks from your boosted decision trees?

In the coming weeks, Symmetry will explore the ways scientists are using artificial intelligence to advance particle physics and astrophysics—in a series of articles written and illustrated entirely by humans.

The team developed a groundbreaking method that harnesses the structure of light to twist and tweak the properties of quantum materials.