News Center

Machine Learning Algorithms Help Predict Traffic Headaches

Berkeley Lab computer scientists are working with Caltrans to use high performance computing and machine learning to help improve real-time decision making when traffic incidents occur.

Berkeley Lab Innovations Recognized With 3 R&D 100 Awards

Cutting-edge technologies from Lawrence Berkeley National Laboratory to detect radiation, make buildings more energy efficient, and accelerate neuroscience research were honored with R&D 100 Awards by R&D World magazine.

Berkeley Lab Scientists Earn Prestigious White House Early Career Award

Two scientists with Berkeley Lab are among 315 researchers named on July 2 by President Donald Trump to receive the prestigious Presidential Early Career Award for Scientists and Engineers. Two faculty scientists jointly affiliated with Berkeley Lab and the University of California, Berkeley are also among those selected to receive the honor.

Expert Q&A: Safeguarding the Nation’s Energy Infrastructure

In recognition of National Cybersecurity Awareness Month, cybersecurity expert Sean Peisert of Berkeley Lab discusses new methods that have the potential to keep our energy infrastructure safe from a cyberattack.

Researcher Thinks Outside the Box for Big Science

Researchers at Berkeley Lab are developing an “optimization algorithm” toolset that pinpoints which variables of a “black box” simulation model will churn out the most realistic data in less time.

Berkeley Lab-Developed Digital Library is a Game-Changer for Environmental Research

By Linda Vu  Having access to environmental data is crucial for everything from planning for our water and energy needs and safeguarding against environmental threats to building resilient infrastructure. Now a digital tool developed by a collaboration of scientists led by Lawrence Berkeley National Laboratory (Berkeley Lab) will make it much easier to use high-quality

Q&A: Berkeley Lab’s Spencer Klein Talks About IceCube Then and Now, and What’s Next

In this Q&A, Berkeley Lab physicist Spencer Klein, who has been a part of the IceCube collaboration since 2004, discusses Berkeley Lab’s historic contributions to IceCube, and IceCube’s contributions to science.

Software System Award Honors Project Jupyter Team

The team behind Project Jupyter, an effort pioneered by Fernando Pérez, an assistant professor of statistics at UC Berkeley and staff scientist in the Usable Software Systems Group at Berkeley Lab’s Computational Research Division, has been honored with an Association of Computing Machinery Software System Award for developing a tool that has had a lasting influence on computing.

Berkeley Lab’s Julian Borrill Elected Co-Spokesperson of Next-Gen Cosmic Microwave Background Experiment

Julian Borrill, who leads the Computational Cosmology Center in Berkeley Lab’s Computational Research Division, has been elected co-spokesperson of CMB-S4, a next-generation ground-based experiment to study the faint relic radiation from the Big Bang.

Can Strongly Lensed Type Ia Supernovae Resolve One of Cosmology’s Biggest Controversies?

Astrophysicists at Lawrence Berkeley National Laboratory (Berkeley Lab) and the Institute of Cosmology and Gravitation at the University of Portsmouth in the U.K. say strongly lensed Type Ia supernovae could help resolve a discrepancy in measurements of the universe’s accelerating expansion.