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Berkeley Lab and several collaborating institutions have successfully demonstrated a machine-learning technique to accelerate discovery of materials for film capacitors — crucial components in electrification and renewable energy technologies. The technique was used to screen a library of nearly 50,000 chemical structures to identify a compound with record-breaking performance.

Undocumented orphaned wells pose hazards to both the environment and the climate. Scientists are building modern tools to help locate, assess, and pave the way for ultimately plugging these forgotten relics.

Check out the second of a two-part series exploring how artificial intelligence helps researchers from around the world perform cutting-edge science with the lab’s state-of-the-art facilities and instruments. In this part you’ll learn how AI is playing a key role in helping SLAC researchers find new galaxies and tiny neutrinos, and discover new drugs.

Check out the first of a two-part series exploring how artificial intelligence helps researchers from around the world perform cutting-edge science with the lab’s state-of-the-art facilities and instruments. In this part you’ll learn how SLAC researchers collaborate to develop AI tools to make molecular movies, speeding up the discovery process in the era of big data.

In 1974, the independent discovery of the J/psi particle at SLAC and Brookhaven National Laboratory rocked the physics world, and entire textbooks had to be rewritten. Earlier this month, SLAC hosted a symposium to celebrate the milestone.

Researchers used the Dark Energy Spectroscopic Instrument to map how nearly 6 million galaxies cluster across 11 billion years of cosmic history. Their observations line up with what Einstein's theory of general relativity predicts.

Researchers have taken direct images of the Wigner molecular crystal, a new quantum phase of an electron solid. The breakthrough may advance future technologies for quantum simulations.

A difficult-to-describe nanoscale object called the magnetic skyrmion might one day yield new microelectronic devices that can do much more — for example, massive data storage — all while consuming much less power. But researchers need a more detailed understanding of skyrmions if they are ever to be used reliably in computational devices, including quantum computers. Berkeley Lab scientists led a project to make 3D X-ray images of skyrmions that can characterize or measure the orientations of spins inside the whole object.