Rob Schurko has received the Regitze Vold Prize at the Alpine Conference, an international forum on magnetic resonance in solids. Schurko is director of the MagLab’s Nuclear Magnetic Resonance and Magnetic Resonance Imaging Facility and is a professor in the Department of Chemistry and Biochemistry at Florida State University.
The physics behind antimatter is one of the world’s greatest mysteries. Looking as far back as The Big Bang, physics has predicted that when we create matter, we also create antimatter.
A Case Western Reserve University-led team is working on technology that could dramatically improve electrical transformers and power converters in electric vehicles.
New exascale simulations, some of the most robust ever, could improve reactor design, driving down costs to build.
The 2011 Fukushima Dai-ichi Nuclear Power Plant accident caused the release and deposition of radionuclides, resulting in an increase in air dose rates in the forests of Fukushima Prefecture.
Researchers are getting a closer look at the behavior of nuclear fuel at the atomic level with the Center for Thermal Energy Transport under Irradiation (TETI) 2.0 technology.
The Centre for Ion Beam Applications (CIBA), a multidisciplinary research centre at the National University of Singapore (NUS), has recently been designated as an International Atomic Energy Agency (IAEA) Collaborating Centre for Research and Development of Accelerator Science and Multidisciplinary Applications.
New research is challenging the scientific status quo on the limits of the nuclear chart in hot stellar environments where temperatures reach billions of degrees Celsius.
Oak Ridge National Laboratory is leading two nuclear physics research projects within the Scientific Discovery through Advanced Computing, or SciDAC, program from the Department of Energy Office of Science. One of the projects is called Nuclear Computational Low-Energy Initiative, or NUCLEI. The other is Exascale Nuclear Astrophysics for FRIB, or ENAF.
The U.S. Department of Energy Office of Science, or DOE-SC, is investing in machine learning, a type of artificial intelligence, to accelerate the speed of research and development in nuclear science. Michigan State University researchers at the Facility for Rare Isotope Beams, or FRIB, are leading five of these new grant projects. These projects aim to enhance the breadth of FRIB’s activities, covering nuclear physics experiments and theory, as well as particle accelerator operations. FRIB is a DOE-SC user facility, meaning that these advances will serve the global research community while preparing students to become the next generation of leaders and innovators in nuclear science.
Today, the U.S. Department of Energy (DOE) announced $5.8 million in funding for five projects in nuclear data for basic nuclear science and applications.
Ambar Rodriguez-Alicea wants to explore the very basics of matter and the universe as we know it. As the aspiring physicist from Puerto Rico puts it, “I want a job that forces me to keep learning until the end.”
Isotopes — atoms of a particular element that have different numbers of neutrons — can be used for a variety of tasks, from tracking climate change to conducting medical research.Investigating rare isotopes, which have extreme neutron-to-proton imbalances and are often created in accelerator facilities, provides scientists with opportunities to test their theories of nuclear structure and to learn more about isotopes that have yet to be utilized in application.
Scientists have observed a rare new radioactive decay mode for the first time. In this decay mode, oxygen-13 (with eight protons and five neutrons) decays by breaking into three helium nuclei (an atom without the surrounding electrons), a proton, and a positron (the antimatter version of an electron) following beta decay. The findings expand scientific knowledge of decay processes and the properties of the nucleus before the decay.
Digital Science is pleased to announce that Australia’s Nuclear Science and Technology Organisation (ANSTO) has chosen Symplectic Elements from Digital Science’s flagship products to advance awareness of its world-class research.
Tracking how high energy jets of quarks travel through the quark-gluon plasma (QGP) can reveal information about the QGP’s properties. Recent theoretical calculations that include non-local quantum interactions in the QGP predict a super-diffusive process that deflects energetic particles faster than previously assumed. The discovery might help explain why the QGP flows like a nearly perfect liquid.
An experiment to explore the 3D structures of nucleon resonances – excited states of protons and neutrons -- at Jefferson Lab offers critical insights into the basic building blocks of matter and has added one more puzzle piece to the vast picture of the chaotic, nascent universe that existed just after the Big Bang.
Three Argonne projects will receive funding to use AI and machine learning for nuclear physics accelerators and detectors.
Artificial intelligence's impact goes beyond clinical medicine. It is reshaping science in more profound ways.
Today, the U.S. Department of Energy (DOE) announced $16 million for fifteen projects that will implement artificial intelligence methods to accelerate scientific discovery in nuclear physics research.
RSS
Medicine keyboard_arrow_right
Sciencekeyboard_arrow_right
Life keyboard_arrow_right
Business keyboard_arrow_right
Journal News keyboard_arrow_right
By Location keyboard_arrow_right
Meetings, Grants, and Events keyboard_arrow_right