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Protons are tiny yet they carry a lot of heft. They inhabit the center of every atom in the universe and play a critical role in one of the strongest …
Two-dimensional materials, which consist of a single layer of atoms, exhibit unusual properties that could be harnessed for a wide range of quantum and microelectronics systems. But what makes them …
Researchers in the Biological Systems and Engineering (BSE) Division recently published two studies that will help oncologists more precisely understand the state of their patients’ disease or their risk for …
Scientists have developed a new machine-learning platform that makes the algorithms that control particle beams and lasers smarter than ever before. Their work could help lead to the development of …
As the tools for science (such as telescopes, particle accelerators, and gene sequencers) have become more sophisticated and exacting, the data that we are able to gather from them is …
In the computing world, optimization comes in all shapes and sizes, from data collection and processing to analysis, management, and storage. And calls for optimization tools applicable to a growing …
Machine learning is emerging as a useful tool in the development of quantum computing platforms, particularly in optimizing the methodologies used to simulate quantum systems and speed the time it …
“The dream of predicting a protein shape just from its gene sequence is now a reality,” said Paul Adams, Associate Laboratory Director for Biosciences at Berkeley Lab. For Adams and …
Kai Vetter, a UC Berkeley nuclear engineering professor and head of the Applied Nuclear Physics program at Lawrence Berkeley National Laboratory (Berkeley Lab), recalled the rush of reporters as he …
In physicists’ ongoing search for new particles, it’s always easiest to find them when you have an idea where to look. Theories can serve to narrow and focus those searches …
