DOE’s Office of Science is now accepting applications for Fall 2024 undergraduate internships
Grant and Award Announcement
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Applications are currently being accepted for the Fall 2024 term of two undergraduate internship programs offered by the Department of Energy (DOE) Office of Science: the Science Undergraduate Laboratory Internships (SULI) program and the Community College Internships (CCI) program. The application deadline is May 22, 2024, at 5:00 p.m. ET.
At high temperatures and densities, plasmas in fusion devices can develop gradients that can grow into instabilities, including edge localized modes (ELMs) that can damage reactor walls. In this research, scientists studied negative triangularity, a way the plasma shape can deviate from an oval. The research found this shaping was inherently free of instabilities across various plasma conditions, including operating reactor conditions.
Theoretical models can fill the gaps in experimental physics, but using a single imperfect theoretical model can be misleading. To improve the quality of predictions, researchers created a machine learning method that combines the results of several imperfect models.
Conditions in peatlands slow microbial decomposition of organic matter into greenhouse gases. This process stores carbon in the soil. Researchers use the Spruce and Peatland Responses Under Changing Environments (SPRUCE) experiment to warm air and soil in a northern Minnesota bog to simulate the effects of climate change on the carbon cycle. The experiments showed that all organic soil components can break down more quickly in warmer conditions.
Experimentalists and theorists have provided strong evidence for the creation of an exotic isotope, nitrogen-9, which has two neutrons and seven protons. This unbalanced ratio of protons to neutrons produces a nucleus that only survives for less than one-billionth of a nanosecond. The work also provides information on nitrogen-9’s mirror nucleus, helium-9, which has two protons to its seven neutrons.
Fluids moving through fractures in subsurface rock react with chemicals in the rock to alter the fractures and the rock’s permeability. The processes involved operate much more slowly in the field than in laboratory tests, making them hard to predict. This study used simulations of mineral dissolution to discover a link between the structure of fractures in rock and how that rock reacts with fluid moving through it.
The next generation of programmable quantum devices will require processors built around superior qubits. Researchers developed a blueprint for a novel quantum information processor based on fluxonium qubits. These fluxonium qubits outperform transmons, the most widely used superconducting qubits. The researchers also made practical suggestions on how to adapt and build the cutting-edge hardware for superconducting devices.
The U.S. Department of Energy (DOE) announced the schedule for upcoming events and submissions associated with the competition for the management and operating contract for the Thomas Jefferson National Accelerator Facility (TJNAF).
In response to the rapidly evolving landscape of data collection and analysis driven by advances in artificial intelligence, the U.S. National Science Foundation (NSF) and the U.S. Department of Energy (DOE) have established a Research Coordination Network (RCN) dedicated to advancing privacy research and the development, deployment and scaling of privacy enhancing technologies (PETs). Fulfilling a mandate from the "Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence," the initiative advances the recommendations in the National Strategy to Advance Privacy-Preserving Data Sharing and Analytics to move towards a data ecosystem where the beneficial power of data can be unlocked while protecting privacy.
Neutrinos from the Sun result from a chain of nuclear fusion reactions. Scientists use theoretical calculations to extrapolate the rate of these reactions using theory and data from experiments on Earth. A new evalution protocol dramatically reduces the uncertainty in these extrapolations. This will help scientists better understand neutrinos and the interior of the Sun.