Featured Articles

2017

Scientists studied the microstructure of the coral-chomping teeth of the steephead parrotfish, pictured here, to learn about the fish’s powerful bite. 11.15.17User Facility

X-Rays Reveal the Biting Truth About Parrotfish TeethExternal link

A study by scientists – including those at the Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab) – has revealed a chain mail-like woven microstructure that gives parrotfish teeth their remarkable bite and resilience. Read MoreExternal linkage

Scientists have for the first time used deep learning to analyze complex distortions in spacetime, called gravitational lenses. This method was 10 million times faster than traditional analyses. 11.08.17Article

What Can Science Gain from Computers that Learn?

Machine learning and deep learning programs provide a helping hand to scientists analyzing images. Read More »

As part of the team’s research on Jupiter’s dynamo, they performed planetary atmospheric dynamics simulations of rotating, deep convection in a 3D spherical shell, with shallow stable stratification. 11.02.17User Facility

The Inner Secrets of Planets and StarsExternal link

Using Argonne's Mira supercomputer, researchers are developing advanced models to study magnetic field generation on Earth, Jupiter, and the Sun at an unprecedented level of detail. Read MoreExternal linkage

2017 R&D 100 Award Finalists 10.30.17Announcement

2017 R&D 100 Awards

Celebrating the R&D 100 Award Finalists from Office of Science National Laboratories Read More »

A researcher works on the cryostat unit for CUORE during the assembly process. 10.26.17From the Labs

Experiment Provides Deeper Look into the Nature of NeutrinosExternal link

The first glimpse of data from the full array of a deeply chilled particle detector operating beneath a mountain in Italy sets the most precise limits yet on where scientists might find a theorized process to help explain why there is more matter than antimatter in the universe. Read MoreExternal linkage

A simulated merger of a pair of neutron stars. 10.16.17User Facility

Scientists Decode the Origin of Universe’s Heavy Elements in the Light from a Neutron Star MergerExternal link

Berkeley Lab scientists play key role in explaining a historic discovery. Read MoreExternal linkage

Experimental setup for a single-particle diffraction experiment 10.13.17User Facility

International Team Reconstructs Nanoscale Virus Features from Correlations of Scattered X-raysExternal link

As part of an international research team, Jeff Donatelli, Peter Zwart and Kanupriya Pande of the Center for Advanced Mathematics for Energy Research Applications (CAMERA) at Lawrence Berkeley National Laboratory (Berkeley Lab) contributed key algorithms which helped achieve a goal first proposed more than 40 years ago – using angular correlations of X-ray snapshots from non-crystalline molecules to determine the 3D structure of important biological objects Read MoreExternal linkage

A sketch of the new method that enables fast, 10.10.17User Facility

Scientists Use Machine Learning to Translate 'Hidden' Information that Reveals Chemistry in ActionExternal link

New method allows on-the-fly analysis of how catalysts change during reactions, providing crucial information for improving performance. Read MoreExternal linkage

Illustration shows key stages of bijel formation. 09.26.17From the Labs

Nanoparticle Supersoap Creates ‘Bijel’ With Potential as Sculptable FluidExternal link

A new two-dimensional film, made of polymers and nanoparticles and developed by researchers at the Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab), can direct two different non-mixing liquids into a variety of exotic architectures. Read MoreExternal linkage

Reconstructed cerebrovascular network of the mouse brain using synchrotron microtomography. 09.12.17User Facility

Big Data Boost for Brain ResearchExternal link

Researchers are using Argonne National Lab's vast arsenal of innovative technologies to map the intricacies of brain function at the deepest levels, and describing them in greater detail than ever before through advanced data analysis techniques. Read MoreExternal linkage

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