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Deep learning expands study of nuclear waste remediation

DOE/Lawrence Berkeley National Laboratory
Peer-Reviewed Publication

A research collaboration between Berkeley Lab, Pacific Northwest National Laboratory, Brown University, and NVIDIA has achieved exaflop performance with a deep learning application used to model subsurface flow in the study of nuclear waste remediation.

Meeting: SC19

Etalumis 'reverses' simulations to reveal new science

DOE/Lawrence Berkeley National Laboratory
Peer-Reviewed Publication

A multinational collaboration using computing resources at the National Energy Research Scientific Computing Center has developed the first probabilistic programming framework capable of controlling existing simulators and running at large-scale on HPC platforms.

Meeting: SC19

Machine learning enhances light-beam performance at the advanced light source

DOE/Lawrence Berkeley National Laboratory
Peer-Reviewed Publication

A team of researchers at Berkeley Lab and UC Berkeley has successfully demonstrated how machine-learning tools can improve the stability of light beams' size for science experiments at a synchrotron light source via adjustments that largely cancel out unwanted fluctuations.

Journal: Physical Review Letters

Daniel Gruen awarded 2019 Panofsky Fellowship at SLAC

DOE/SLAC National Accelerator Laboratory
Grant and Award Announcement

Daniel Gruen, who studies how massive objects bend light from distant galaxies, has been named a 2019 Panofsky Fellow at the Department of Energy's SLAC National Accelerator Laboratory. The focus of his research is to unravel some of the greatest mysteries of modern physics: What is dark matter? What is dark energy, and how is it accelerating the expansion of the universe?

Go with the flow: Scientists design new grid batteries for renewable energy

DOE/Lawrence Berkeley National Laboratory
Peer-Reviewed Publication

Scientists at Berkeley Lab have designed an affordable 'flow battery' membrane that could accelerate renewable energy for the electrical grid.

Journal: Joule

Feng Wang

DOE/Lawrence Berkeley National Laboratory

Feng Wang is a Professor in the Department of Physics at the University of California - Berkeley and a faculty scientist at the U.S. Department of Energy's Lawrence Berkeley National Laboratory.

Meet the Director: Douglas Mans, EMSL

DOE/Lawrence Berkeley National Laboratory

This is a continuing profile series on the directors of the Department of Energy (DOE) Office of Science User Facilities. These scientists lead a variety of research institutions that provide researchers with the most advanced tools of modern science including accelerators, colliders, supercomputers, light sources and neutron sources, as well as facilities for studying the nano world, the environment, and the atmosphere.

A game-changing test for Prion, Alzheimer's and Parkinson's diseases is on the horizon

DOE/Lawrence Berkeley National Laboratory
Peer-Reviewed Publication

A new test agent can easily and efficiently detect the misfolded protein aggregates that cause devastating neurological diseases in blood samples. The technology could lead to early diagnosis of prion diseases, Alzheimer's and Parkinson's for the first time.

Journal: PLOS One

Going Cold: The Future of Electron Microscopy

DOE/Lawrence Berkeley National Laboratory

Berkeley Lab researchers are pushing the boundaries of electron microscopy by exploring the exciting new frontier of cold microscopes.

World-Leading Microscopes Take Candid Snapshots of Atoms in Their 'Neighborhoods'

DOE/Lawrence Berkeley National Laboratory

Scientists at Berkeley Lab have demonstrated how a powerful electron microscopy technique can provide direct insight into the performance of any material -- from strong metallic glass to flexible semiconducting films -- by pinpointing specific atomic 'neighborhoods.'

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