Scientists at Berkeley Lab have revealed how atomic defects emerge in transition metal dichalcogenides, and how those defects shape the 2D material's electronic properties. Their findings could provide a versatile yet targeted platform for designing 2D materials for quantum information science.
Two high school students developed software to analyze images of diatoms--algae that produce silicon for constructing cell walls--to determine the differences between wild and genetically modified strains of these organisms. This work was instrumental to a research team interested in optimizing diatoms for biomineralization, the process of making materials from biological systems.
The metallic thin films with 3-D interlocking nanostructures could be used in catalysis, energy storage, and biomedical sensing.
PPPL physicist Fatima Ebrahimi has used high-resolution computer simulations to confirm the practicality of the CHI start-up technique. The simulations show that CHI could produce electric current continuously in larger, more powerful tokamaks than exist today to produce stable fusion plasmas.
A team from Oak Ridge National Laboratory and Vanderbilt University made the first experimental observation of a material phase that had been predicted but never seen.
Argonne scientists have discovered an intriguing new behavior in a two-dimensional material at the atomic level as it is stretched and strained, like it would be in an actual flexible device.
In this Q&A, Oak Ridge National Laboratory's Dan Jacobson talks about his team's work on a genomic selection algorithm, his vision for the future of environmental genomics, and the space where simulation meets AI.
A team at Georgia Tech created a new turbulence algorithm optimized for the Summit supercomputer. It reached a performance of less than 15 seconds of wall-clock time per time step for more than 6 trillion grid points--a new world record surpassing the prior state of the art in the field for the size of the problem.
An ORNL team used the Titan supercomputer to model every building serviced by the Electric Power Board of Chattanooga--all 178,368 of them--and discovered that EPB could potentially save $11-$35 million per year by adjusting electricity usage during peak critical times.
More than a billion people in Asia depend on seasonal monsoons for their water needs. The Asian monsoon is closely linked to a planetary-scale tropical air flow which, according to a new study by Lawrence Berkeley National Laboratory, will most likely shift geographically as the climate continues to warm, resulting in less rainfall in certain regions.
PPPL and Princeton University are developing a unique neutron-detector robot for arms control and nuclear security purposes. The robot recently passed a key neutron-detection test.
A team of environmental and computation scientists at the U.S. Department of Energy's (DOE) Argonne National Laboratory are collaborating to use deep neural networks, a type of machine learning, to replace the parameterizations of certain physical schemes in the Weather Research and Forecasting Model, an extremely comprehensive model that simulates the evolution of many aspects of the physical world around us.
A new approach developed by PNNL scientists improves the accuracy of patient diagnosis up to 20 percent when compared to other embedding approaches.
Scientists Explore Egyptian Mummy Bones With X-Rays and Infrared Light to Gain New Insight on Ancient Life
Experiments at Berkeley Lab are casting a new light on Egyptian soil and ancient mummified bone samples that could provide a richer understanding of daily life and environmental conditions thousands of years ago. In a two-monthslong research effort that concluded in late August, two researchers from Cairo University in Egypt brought 32 bone samples and two soil samples to study using X-ray and infrared light-based techniques at the Lab's Advanced Light Source.
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.
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.