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
Biofuel producers make significant gains in efficiency, productivity and conservation, Argonne survey shows
The nation's biofuel producers have made significant gains in both energy efficiency and water conservation in recent years, according to a comprehensive survey conducted by Argonne National Laboratory.
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.
By blasting a frustrated mixture of materials with quick pulses of laser light, researchers transformed a superlattice into a supercrystal, a rare, repeating, three-dimensional structural much larger than an ordinary crystal. Using machine learning techniques, they studied the underlying structure of this sample at the nanoscale level before and after applying the laser pulse treatment.
Nature has published a new review co-authored by Argonne analyst Linda Gaines. The review evaluates the state of EV battery recycling today and what's needed to build a more sustainable future.
Scientists at Berkeley Lab have designed an affordable 'flow battery' membrane that could accelerate renewable energy for the electrical grid.
Scientists working at CERN have started tests of a new neutrino detector prototype, using a very promising technology called "dual phase." If successful, this new technology will be used at a much larger scale for the international Deep Underground Neutrino Experiment, hosted by the U.S Department of Energy's Fermilab.
Physicists get closer to solving the proton radius puzzle with unique new measurement of the charge radius of the proton.
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, Alzheimer's, and Parkinson's diseases for the first time.
Roughly 85% of recently installed HVAC systems in K-12 classrooms investigated in California did not provide adequate ventilation, according to a study from UC Davis and the Department of Energy's Lawrence Berkeley National Laboratory.
Argonne scientists have discovered how a certain class of electrolyte material can reduce the frequency of polysulfide shuttling, potentially paving the way for more effective lithium-sulfur batteries.
Scientists at the U.S. Department of Energy's Brookhaven National Laboratory have doubled the efficiency of a chemical combo that captures light and splits water molecules so the building blocks can be used to produce hydrogen fuel. Their study, selected as an American Chemical Society "Editors' Choice" that will be featured on the cover* of the Journal of Physical Chemistry C
Scientists at Brookhaven Lab have new experimental evidence and a predictive theory that solves a long-standing materials science mystery: why certain crystalline materials shrink when heated. Their work could have widespread application for matching material properties to specific applications in medicine, electronics, and other fields, and may even provide fresh insight into unconventional superconductors.
Gamers designing proteins, raw food changing the gut, and a toxin-absorbing MOF
Researchers at Argonne National Laboratory have discovered a photo-excitation process that speeds up the charging of lithium-ion batteries. If commercialized, such technology could be a game changer for electric vehicles.
Scientists at the U.S. Department of Energy's Ames Laboratory have discovered an indicator that reliably demonstrates a sample's high quality, and it was one that was hiding in plain sight for decades.
PPPL findings: From new fusion developments to surprises in astrophysics at global plasma physics gathering
Feature wraps-up wide-ranging PPPL talks on fusion and plasma science at the 61st American Physical Society-Department of Plasma Physics conference.
A team of scientists led by the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) has gained valuable insight into 3D transition metal oxide nanoparticles' natural "edge" for 2D growth.
A joint research team from Google Inc., NASA Ames Research Center, and the Department of Energy's Oak Ridge National Laboratory has demonstrated that a quantum computer can outperform a classical computer at certain tasks, a feat known as quantum supremacy.
A multi-institutional collaboration reports a catalytic method for selectively converting discarded plastics into higher quality products. The team included Argonne National Laboratory, Ames Laboratory, Northwestern University and three other universities.
Scientists seeking to design new catalysts to convert carbon dioxide (CO2) to methane have used a novel artificial intelligence (AI) approach to identify key catalytic properties. By using this method to track the size, structure, and chemistry of catalytic particles under real reaction conditions, the scientists can identify which properties correspond to the best catalytic performance, and then use that information to guide the design of more efficient catalysts.
An Argonne team has developed a powerful technique for probing in three dimensions the nanostructure for cathode materials of next-generation batteries. Such batteries could one day revolutionize energy storage for both transportation and the electric grid.
Shake, rattle, roll: Turbulence found to disrupt the crucial magnetic fields in fusion energy devices
Scientists at PPPL have discovered that turbulence may play an increased role in affecting the self-driven, or bootstrap, current in plasma that is necessary for tokamak fusion reactions.
Researchers at the Department of Energy's Oak Ridge National Laboratory, the University of Tennessee and Texas A&M University demonstrated bio-inspired devices that accelerate routes to neuromorphic, or brain-like, computing.
Surprise discovery shows that turbulence at the edge of the plasma may facilitate production of fusion energy.