Researchers have found similarities in how concepts of energy, pressure, and confinement apply to atomic nuclei and superconductivity. Specifically, in both hadrons and superconductors, how particles are confined to a specific volume can be described with the same mathematical framework derived from quantum chromodynamics.
Karthik Suresh’s doctoral dissertation on meson decay in the ongoing GlueX Collaboration at Jefferson Lab has just earned the prestigious 2023 Jefferson Science Associates (JSA) Thesis Prize.
Scientists have achieved a series of milestones in growing a high-quality thin film conductor, suggesting in a new study that the material is a promising candidate platform for future wearable electronics and other miniature applications.
Scientists are using AI to counter the effects of the atmosphere and provide clearer data to satellites, using physics-informed machine learning.
A new study introduces a method for sensitive, simultaneous measurement of optical rotary dispersion (ORD) and circular dichroism (CD) from weak chiroptical signals. The technique utilizes a bowtie optical cavity with moderate finesse, eliminating the need for complex frequency locking or magnetic fields.
Because of the number and density of neutrinos involved, it is nearly impossible to calculate the movement of neutrinos from compact astrophysical systems such as core-collapse supernovae and neutron star mergers.
Researchers at the U.S. Department of Energy's Thomas Jefferson National Accelerator Facility are exploring how adding oxygen to the surfaces of particle accelerator cavities, one of the most critical parts of an accelerator, can help scientists custom-tailor their properties for maximum efficiency and minimum cost.
Using SLAC’s instrument for ultrafast electron diffraction (MeV-UED), one of the lab’s world-leading tools for ultrafast science, researchers discovered how an ultrathin material can circularly polarize light. This discovery sets up a promising approach to manipulate light for applications in optoelectronic devices.
Sergey Chemerisov drives innovation at Argonne by managing accelerator operations while also conducting research across radiation chemistry, nuclear medicine, semiconductor materials and more.
A groundbreaking new study led by Georgia Institute of Technology's Aawaz Pokhrel and published in Nature Physics has revealed that geometry influences biofilm growth more than anything else, including the rate at which cells can reproduce.
Researchers at the U.S. Department of Energy’s Princeton Plasma Physics Laboratory are applying their expertise in physics, chemistry and computer modeling to create the next generation of computer chips, aiming for processes and materials that will produce chips with smaller features.
Groups of three quarks form stable composite particles called baryons (such as protons and neutrons), while pairs of quarks form unstable mesons. New measurements from the Large Hadron Collider beauty (LHCb) experiment show surprising variations in the rate at which baryons are produced, defying previous expectations.
A new method called Boundary Integrated Neural Networks (BINNs) has been developed for analyzing acoustic radiation and scattering.
New research finds that ab initio methods using effective field theory can be used to study the scattering of protons and neutrons off atomic nuclei. The research specifically examined the scattering of protons from carbon-12 and oxygen-16 at low energies.
Improvements to the lab’s “electron camera” use AI and “time stamping” to help reveal nature’s speedy processes more accurately.
Researchers at Finland’s Aalto University have found a way to use magnets to line up bacteria as they swim. The approach offers more than just a way to nudge bacteria into order – it also provides a useful tool for a wide range of research, such as work on complex materials, phase transitions and condensed matter physics.
Scientists from Immanuel Kant Baltic Federal University in frames of academic mobility between China and Russia together with colleagues from Qiqihar University grew “defective” crystals of tin diselenide, that have atoms of selenium in greater or less amount, than in standard structure of this compound.
A team of researchers had already been working with electricity price data for years before Russia’s invasion of Ukraine, exploring statistics and developing forecasting methods. Now they zero in on how prices in different countries relate and how countries were affected by the energy crisis and address the interdependencies of different markets.
PPPL physicists have developed a computer program incorporating machine learning that could help identify blobs of plasma in outer space known as plasmoids. In a novel twist, the program has been trained using simulated data.
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