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6-Oct-2022
Department of Energy announces $6.4 million for artificial intelligence research in high energy physics
DOE/US Department of EnergyGrant and Award Announcement
Today, the U.S. Department of Energy (DOE) announced $6.4 million in funding for three initial Department of Energy national lab-led team projects in artificial intelligence research for high energy physics. These awards support the DOE Office of Science (SC) initiative in artificial intelligence research to use AI techniques to deliver scientific discoveries that would not otherwise be possible and to broaden participation in high energy physics research.
5-Oct-2022
To better predict extreme precipitation, scientists model cloud microphysics
DOE/US Department of Energy
Scientists have previously shown that superparameterized (SP) climate models are better able to simulate clouds than other models. However, scientists must still determine how to represent the small-scale processes—called microphysics—that govern cloud droplets and ice crystals. This study examined how choices of microphysics processes affect how SP models predict extreme precipitation.
- Journal
- Earth and Space Science
4-Oct-2022
DOE announces $400 million in research funding to advance scientific frontiers
DOE/US Department of EnergyGrant and Award Announcement
The U.S. Department of Energy (DOE) today announced an up to $400 million funding opportunity for basic research in support of DOE’s clean energy, economic, and national security goals. The funding will advance the priorities of DOE’s Office of Science and its major programs, including Advanced Scientific Computing Research, Basic Energy Sciences, Biological and Environmental Research, Fusion Energy Sciences, High Energy Physics, Nuclear Physics, Isotope R&D and Production, and Accelerator R&D and Production. This funding opportunity will help achieve the Biden Administration’s plan to employ science and innovation to tackle our greatest challenges.
3-Oct-2022
Spilling the secrets of quantum entanglement
DOE/US Department of Energy
Scientists recently tested the ability of three techniques called entanglement witnesses to accurately identify pairs of entangled magnetic particles. Of the three, quantum Fisher information (QFI) performed best, routinely locating entanglement in complex materials. This work is the most thorough examination of QFI’s capabilities to date and is the first to apply QFI to massive solid materials.
- Journal
- Physical Review B
3-Oct-2022
DOE’s Office of Science Graduate Student Research (SCGSR) Program selects 44 outstanding US graduate students
DOE/US Department of EnergyGrant and Award Announcement
The Department of Energy’s (DOE’s) Office of Science has selected 44 graduate students representing 24 states for the Office of Science Graduate Student Research (SCGSR) program’s 2022 Solicitation 1 cycle. Through world-class training and access to state-of-the-art facilities and resources at DOE National Laboratories, SCGSR prepares graduate students to enter jobs of critical importance to the DOE mission and secures our national position at the forefront of discovery and innovation.
30-Sep-2022
How stiff is the proton?
DOE/US Department of Energy
The quarks and gluons in a proton and their interaction determine the proton’s structure. This structure deforms when exposed to external electric and magnetic (EM) fields, a phenomenon known as polarizability. Scientists use Effective Field Theories (EFTs) to link the description of neutron structure and polarizability to theories of the strong neutron force. In this research, scientists validated EFTs using proton Compton scattering.
- Journal
- Physical Review Letters
28-Sep-2022
Near-threshold resonance helps explain a controversial measurement of exotic decay in beryllium-11
DOE/US Department of Energy
Physicists have observed a narrow proton-decaying resonance in beryllium-11. This result supports evidence that the beta-delayed proton decay of beryllium-11 is a sequential two-step process where a near-threshold resonance in beryllium-11 is populated first in a beta decay with a subsequent proton emission.
- Journal
- Physical Review Letters
26-Sep-2022
Deep learning uses stream discharge to estimate watershed subsurface permeability
DOE/US Department of Energy
Subsurface permeability is a key parameter of subsurface flow and transport processes in watersheds, but it is difficult and expensive to measure directly at the scale and resolution required by watershed models. This study used deep learning to accurately estimate the subsurface permeability of a watershed using widely available stream discharge data.
- Journal
- Frontiers in Earth Science
26-Sep-2022
Department of Energy announces $56 million for research on mathematical multifaceted integrated capability centers
DOE/US Department of EnergyGrant and Award Announcement
The U.S. Department of Energy (DOE) announced $56 million in funding for four projects in fundamental mathematics research on problems of interest to DOE that require the integration of multiple mathematical topic areas.