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Categories: Energy: Nuclear, Mathematics: General
Published Artificial Intelligence from a psychologist's point of view
(via sciencedaily.com) Researchers test cognitive abilities of the language model GPT-3.
Published Clear sign that quark-gluon plasma production 'turns off' at low energy
(via sciencedaily.com) Physicists report new evidence that production of an exotic state of matter in collisions of gold nuclei at the Relativistic Heavy Ion Collider (RHIC) can be 'turned off' by lowering the collision energy. The findings will help physicists map out the conditions of temperature and density under which the exotic matter, known as a quark-gluon plasma (QGP), can exist and identify key features of the phases of nuclear matter.
Published Reaching like an octopus: A biology-inspired model opens the door to soft robot control
(via sciencedaily.com) Octopus arms coordinate nearly infinite degrees of freedom to perform complex movements such as reaching, grasping, fetching, crawling, and swimming. How these animals achieve such a wide range of activities remains a source of mystery, amazement, and inspiration. Part of the challenge comes from the intricate organization and biomechanics of the internal muscles.
Published Scientists identify new mechanism of corrosion
(via sciencedaily.com) It started with a mystery: How did molten salt breach its metal container? Understanding the behavior of molten salt, a proposed coolant for next-generation nuclear reactors and fusion power, is a question of critical safety for advanced energy production. The multi-institutional research team, co-led by Penn State, initially imaged a cross-section of the sealed container, finding no clear pathway for the salt appearing on the outside. The researchers then used electron tomography, a 3D imaging technique, to reveal the tiniest of connected passages linking two sides of the solid container. That finding only led to more questions for the team investigating the strange phenomenon.
Published Theory can sort order from chaos in complex quantum systems
(via sciencedaily.com) Theoretical chemists have developed a theory that can predict the threshold at which quantum dynamics switches from 'orderly' to 'random,' as shown through research using large-scale computations on photosynthesis models.
Published New superalloy could cut carbon emissions from power plants
(via sciencedaily.com) Researchers have shown that a new 3D-printed superalloy could help power plants generate more electricity while producing less carbon.
Published AI analyzes cell movement under the microscope
(via sciencedaily.com) Using artificial intelligence (AI), researchers can now follow cell movement across time and space. The method could be very helpful for developing more effective cancer medications.
Published Engineers discover a new way to control atomic nuclei as 'qubits'
(via sciencedaily.com) Researchers propose a new approach to making qubits, the basic units in quantum computing, and controlling them to read and write data. The method is based on measuring and controlling the spins of atomic nuclei, using beams of light from two lasers of slightly different colors.
Published Scientific AI's 'black box' is no match for 200-year-old method
(via sciencedaily.com) A new study finds that a 200-year-old technique called Fourier analysis can reveal crucial information about how the form of artificial intelligence called deep neural networks (DNN) learn to perform tasks involving complex physics. Researchers discovered the technique can directly connect what a DNN has learned to the physics of the complex system the DNN is modeling.
Published Amplified search for new forces
(via sciencedaily.com) In the search for new forces and interactions beyond the Standard Model, an international team of researchers has now taken a good step forward. The researchers are using an amplification technique based on nuclear magnetic resonance. They use their experimental setup to study a particular exotic interaction between spins: a parity-violating interaction mediated by a new hypothetical exchange particle, called a Z' boson, which exists in addition to the Z boson mediating the weak interaction in the standard Model.
Published 'Ghostly' neutrinos provide new path to study protons
(via sciencedaily.com) Scientists have discovered a new way to investigate the structure of protons using neutrinos, known as 'ghost particles.'
Published Researchers take a step toward novel quantum simulators
(via sciencedaily.com) If scaled up successfully, the team's new system could help answer questions about certain kinds of superconductors and other unusual states of matter.
Published Color images from the shadow of a sample
(via sciencedaily.com) A research team has developed a new method to produce X-ray images in color. In the past, the only way to determine the chemical composition of a sample and the position of its components using X-ray fluorescence analysis was to focus the X-rays and scan the whole sample. This is time-consuming and expensive. Scientists have now developed an approach that allows an image of a large area to be produced from a single exposure, without the need for focusing and scanning.
Published Researchers gain deeper understanding of mechanism behind superconductors
(via sciencedaily.com) Physicists have once again gained a deeper understanding of the mechanism behind superconductors. This brings researchers one step closer to their goal of developing the foundations for a theory for superconductors that would allow current to flow without resistance and without energy loss. The researchers found that in superconducting copper-oxygen bonds, called cuprates, there must be a very specific charge distribution between the copper and the oxygen, even under pressure.
Published COVID calculations spur solution to old problem in computer science
(via sciencedaily.com) A mathematician was keen to forecast the evolution of the COVID epidemic. Instead, he ended up solving a problem which had troubled computer scientists for decades.
Published Modelling the collective movement of bacteria
(via sciencedaily.com) A new paper presents a mathematical model for the motion of bacteria that includes cell division and death, the basic ingredients of the cell cycle.
Published Mitigating corrosion by liquid tin could lead to better cooling in fusion reactors
(via sciencedaily.com) Researchers have clarified the chemical compatibility between high temperature liquid metal tin (Sn) and reduced activation ferritic martensitic, a candidate structural material for fusion reactors. This discovery has paved the way for the development of a liquid metal tin divertor, which is an advanced heat-removal component of fusion reactors. A device called a divertor is installed in the fusion reactors to maintain the purity of the plasma. For divertors, there has been demand for liquid metals that can withstand extremely large heat loads from high-temperature plasma.
Published National Ignition Facility achieves fusion ignition
(via sciencedaily.com) The U.S. Department of Energy (DOE) and DOE's National Nuclear Security Administration (NNSA) has announced the achievement of fusion ignition at Lawrence Livermore National Laboratory (LLNL) -- a major scientific breakthrough decades in the making. On Dec. 5, a team at LLNL's National Ignition Facility (NIF) conducted the first controlled fusion experiment in history to reach this milestone, also known as scientific energy breakeven, meaning it produced more energy from fusion than the laser energy used to drive it.
Published A peculiar protected structure links Viking knots with quantum vortices
(via sciencedaily.com) Original source Mathematical analysis identifies a vortex structure that is impervious to decay.
Published Revealing the complex magnetization reversal mechanism with topological data analysis
(via sciencedaily.com) The reliability of data storage and writing speed in advanced magnetic devices depend on drastic, complex changes in microscopic magnetic domain structures. However, it is extremely challenging to quantify these changes, limiting our understanding of magnetic phenomena. To tackle this, researchers developed, using machine learning and topology, an analysis method that quantifies the complexity of the magnetic domain structures, revealing hidden features of magnetization reversal that are hardly seen by human eyes.