Researchers capture particles in an unexplored energy region using photon-proton collisions, providing new insights into the nucleus. The measurements suggest that gluons directly contribute more than 80% of the proton's mass.
Researchers at Princeton Plasma Physics Laboratory create simulation framework to fine-tune plasma startup recipes for NSTX-U and MAST-U experiments. The tool enables operators to quickly achieve a balance between electric and magnetic fields, significantly reducing experimentation time.
Scientists have discovered a way to manipulate the electronic properties of tungsten disulfide, a super-thin material, by controlling its energy valleys. This innovation could potentially be used for encoding quantum data and enabling the creation of qubits for quantum computing.
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Researchers have developed a way to remove ice and frost from surfaces efficiently using less than 1% of the energy needed for traditional methods. The technique works by melting the interfacial layer directly, allowing the ice to slide off the surface.
Stoltzfus-Dueck will develop and test models for plasma confinement, a crucial step towards harnessing fusion reactions. His research aims to increase understanding of next-generation fusion plasmas and enhance the control of edge turbulence.
Researchers discovered a small misalignment of magnetic coils in a tokamak facility that caused errors and deviations from optimal alignment, leading to increased localized heating and reduced plasma rotation. The findings have implications for future fusion devices like ITER, with improved engineering tolerance requirements proposed.
Jiehang Zhang, an NYU physics assistant professor, received a $750,000 grant for his research on quantum systems. The award supports early-career researchers in building America's scientific workforce and sustaining innovation.
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Physicists have confirmed an updated computer code can predict and prevent leaks in fusion plasmas, reducing energy loss and damaging machines. The revised TRANSP code accurately models particle behavior, enabling better understanding and prediction of instability effects.
Researchers developed an energy harvester attached to the wearer's knee that generates 1.6 microwatts of power while walking without increased effort. The device captures biomechanical energy through natural human motion, offering a potential solution for self-powered wearable devices.
Researchers found that injecting tiny beryllium pellets into the plasma could trigger small eruptions called ELMs, stabilizing fusion reactions. This technique could potentially reduce the risk of large ELMs and damage to the ITER facility.
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Physicists at PPPL used codes developed at General Atomics to compare theoretical predictions of electron and ion turbulent transport with findings of the first campaign of the NSTX-U. Analysis found that a major factor behind energy losses was anomalous electron transport, which spread rapidly like milk mixing with coffee.
Researchers have developed a prototype of energy-efficient data storage devices using rapid spin switching technology. The device achieves minimal energy losses and switches between states in just 3 picoseconds, making it promising for compact future computers.
Physicists uncover secrets of conching, a 140-year-old mixing technique that creates smooth chocolate texture by breaking down ingredients into finer grains. The study may lead to lower-fat chocolate and more energy-efficient manufacturing processes.
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Jefferson Lab's CEBAF facility has confirmed the production of charm quarks in J/ψ particles following a recent upgrade to its operating energy. This achievement expands the realm of precision nuclear physics research with electron beams at higher energies.
A team of scientists has applied deep learning to forecast sudden disruptions in fusion reactions, enabling more accurate predictions and potentially unlocking clean and virtually limitless fusion energy. The Fusion Recurrent Neural Network (FRNN) code also opens pathways for controlling disruptions.
University of Barcelona researchers have developed a new continuous version of Maxwell's demon in a single molecule system, enabling large amounts of work extraction through repeated measurements. The device can find the right moment to extract energy, with potential applications in biology and quantum systems.
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Researchers at Princeton Plasma Physics Laboratory have developed the first fully kinetic model of plasma behavior, demonstrating that fast magnetic reconnection can occur in partially ionized systems. This finding has implications for understanding auroras and the formation of stars.
Researchers have developed a novel prototype to rapidly control plasma disruptions in fusion facilities. The 'electromagnetic particle injector' (EPI) device uses high-velocity projectiles to release material into the plasma, reducing its impact on the tokamak walls.
Experiments at PPPL demonstrate striking similarities between laboratory findings and satellite observations of magnetic reconnection in space. Researchers found that electron and ion currents flow perpendicular to the magnetic field, converting energy and leading to northern lights, solar flares, and geomagnetic storms.
Researchers have created a single material that produces white light with high efficiency, potentially replacing current phosphors and saving energy. The new material combines a lead-free double perovskite with sodium, emitting stable and efficient warm-white light.
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Researchers have identified a flat band area in graphene that is a prerequisite for superconductivity, but requires further assistance to achieve. The discovery uses high-resolution angle-resolved photoemission spectroscopy (ARPES) and could lead to controlled band structure manipulation.
The binding energy of near proton-drip line Z = 22-28 isotopes has been determined from measured isotopic cross section distributions. The predicted binding energies were verified through the scaling phenomenon of mirror nuclei, confirming the reliability of the method.
Researchers identified tail electrons as the source of whistler waves, which help satellites determine their location in space. The discovery marks a new methodology for measuring wave propagation in reconnection, indicating that whistler waves are generated near active X-lines.
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A new carbon material has been discovered with a high Na storage capacity of over 400mAh/g, outperforming current hard carbon materials. The bi-honeycomb-like architecture shows an 85% plateau capacity at low voltage, potentially increasing energy density in sodium-ion batteries.
Davidovits won the award for his outstanding thesis research on turbulence in compressing fluids and plasma, with a focus on novel mechanisms and applications in inertial-confinement-fusion and astrophysical plasmas. His work has significant implications for plasma physics research.
A record-breaking achievement by Germany's Wendelstein 7-X stellarator facility suggests that stellarator design can replicate the sun's fusion on Earth. The U.S.-based PPPL diagnostic played a crucial role in this feat.
Researchers found a circle-type structure within Bitcoin transactions, revealing hidden communities of interconnected owners. A small fraction of users holds the majority of the network's wealth.
Jaideep Singh, an MSU assistant professor, received funding for his proposal to search for time-reversal violation using optically addressable nuclei in cryogenic solids. The award will accelerate his research program by about 15 years, recognizing the world-class scientific support at FRIB.
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Researchers have developed a new model that challenges long-held assumptions about magnetic islands in fusion plasas. The study found that turbulence can penetrate into islands and plasma flow across them can be strongly sheared, allowing for sustained plasma confinement despite island growth.
A Rutgers-led team has developed a new material that conducts electricity without energy loss, paving the way for low-power electronics and potentially faster quantum computing. The material, which combines magnetic and insulator properties, can be used for electronic interconnections within silicon chips.
The W7-X stellarator achieved improved heating and measurement capabilities with the help of large magnetic trim coils designed by PPPL, enabling plasma discharges lasting up to 30 seconds. The research demonstrated the ability to control error fields and measure magnetic field measurements of unprecedented accuracy.
Researchers propose a new method to solve the complex many-particle Schrödinger equation, enabling accurate electronic energies and advancing fields like drug discovery and nuclear physics. The approach merges deterministic and stochastic methods to identify key wave function components.
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Researchers uncovered the secrets behind snapping shrimp's ability to break water, attributing it to millions of years of evolution and adaptation. The study reveals a series of small changes in claw form led to the development of ultrafast movements.
Scientists have discovered a 'chiral spin mode' - a sea of electrons spinning in opposing circles that can transport information with little energy dissipation. This breakthrough paves the way for building novel electronic devices such as computers and processors with reduced energy loss.
Scientists have discovered correlated flow of particles emerging from even the lowest energy collisions at RHIC, exhibiting behavior associated with quark-gluon plasma formation. The findings suggest that these small-scale collisions might be producing tiny, short-lived specks of matter mimicking the early universe.
A team led by a Princeton University graduate student has developed a unique simulation of magnetic reconnection in space plasmas, which could lead to improved forecasts of space weather events. The new model approximates kinetic effects using fluid equations and agrees better with kinetic models than traditional simulations.
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PPPL physicists lead crucial experiments on Wendelstein 7-X, a magnetic confinement fusion experiment in Germany. The facility aims to create steady state plasmas and model a future power plant for limitless clean energy.
A team of researchers from the University of Utah has investigated the bond dissociation energy property in transition metal silicides, including precise values for six specific compounds. The new method provides an accurate means of estimating bond dissociation energies, with smaller uncertainties than previous approaches.
The Department of Energy's Office of Science Early Career Research Program has awarded funding to four Oak Ridge National Laboratory researchers. The selected researchers will study exotic nuclei, simulate magnetically confined fusion plasmas and investigate the role of symbiotic relationships between plants and microbes.
Physicists at Princeton Plasma Physics Laboratory have modeled how recycled neutral atoms enhance turbulence driven by the ion temperature gradient, cooling plasma and reducing rotation rates. The results could lead to improved understanding of plasma performance in future tokamaks and international fusion facilities like ITER.
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Researchers developed self-disposing supramolecular materials with tunable lifetimes, mimicking biological processes. These materials autonomously degrade after added energy is exhausted, enabling reusable cycles and diverse applications such as drug delivery and tissue stabilization.
A new machine learning technique can help identify plasma behavior that precedes disruptions in tokamaks, allowing scientists to steer the plasma towards stability. By analyzing past experiments and predicting disruption precursors, researchers can implement a system to monitor the plasma for signs of instability.
The US-China collaboration has made excellent progress in using lithium to control ultra-hot plasma in fusion reactions. The use of lithium powder, granules, and liquid form has shown promising results in eliminating instabilities and improving energy confinement.
Researchers developed a novel approach to solve difficult computational problems using statistical mechanics and reversible logic gates, avoiding phase transitions that slow down the process. The vertex model can be applied to machine learning, circuit optimization, and other major computational challenges.
Researchers at University at Buffalo have discovered a new way to split energy levels between electron valleys in 2D semiconductors, increasing separation by a factor of 10. This could lead to more efficient computer chips and extend Moore's Law, predicting the end of transistor density increase
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Researchers at Argonne National Laboratory developed a new way to mathematically describe non-equilibrium phase transitions in physics, shedding light on key technologies for next-generation electronics. By combining quantum mechanics and topology, they created a mathematical tool to understand out-of-equilibrium processes.
Researchers found nonlocal correlations in natural systems, which are incompatible with principles of information and energy transfer. The study proposes a new method to detect these correlations, shedding light on the fascinating problem of nonlocality in quantum many-body systems.
Researchers investigate how wall materials and structures impact secondary electron emission, which can affect plasma confinement and efficiency. They find that lithium oxide linings release more secondary electrons than other materials, highlighting the need to account for reactivity in fusion models.
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Researchers demonstrate that clocks placed next to each other necessarily disturb each other, causing a universal limitation on measuring time. This effect is independent of clock mechanism or material, highlighting the need to re-examine our ideas about time in both quantum mechanics and general relativity.
Louis Taillefer, a Canadian quantum physicist and CIFAR's Director of Quantum Materials program, has made groundbreaking discoveries in experimental low-temperature physics. He was awarded the Simon Memorial Prize for his contributions to understanding quantum materials.
Researchers have discovered a key link between plasma flow and turbulent transport in toroidal fusion plasmas. This understanding has led to improved confinement regimes and reduced the prospects of fusion.
Researchers used an STM to study changes in single-molecule shape and found that the tip's position impacts energy requirements and entropy. The team observed changes in energy barriers and attempt rates at low temperatures, linking entropy to fundamental physical parameters.
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Physicist Igor Kaganovich and collaborators discovered the physics driving plasma etching, a technique powering electronic devices. The research found that electrically charged gas plasma enhances etching efficiency by creating strong plasma waves.
Scientists from Ludwig-Maximilians-Universitaet Munich have successfully measured the lifetime of an excited state in an unstable element, paving the way for the development of nuclear clocks. The research team has characterized the energy transition in the 229Th nucleus and achieved a breakthrough in this field.
A PPPL physicist has discovered that motion in nearby magnetic fields can trigger magnetic reconnection, a process releasing energy when magnetic field lines snap together. This research may aid fusion reactions and better understand solar phenomena.
Researchers at Forschungszentrum Jülich have developed a simpler method to characterize magnetic nanovortices, also known as skyrmions. This new technique uses X-rays to identify suitable materials with the topological charge necessary for these tiny structures.
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Researchers provide a major perspective on four key problems in magnetic reconnection, including the rate problem, trigger problem, energetics problem, and interplay of scales problem. The study advances understanding of these puzzles using data from satellite sightings, laboratory experiments, and computer simulations.
Physicists can now accelerate radioactive beams to explore the unique duality in nuclear freedom, pushing back nuclear physics research boundaries. The HIE-ISOLDE project enables design of experimental tools for both single-particle and collective degrees of freedom.
Goldston's paper presented a new model for estimating scrape-off layer width, which depends on plasma drift rate across closed surfaces, and has been largely confirmed by experiments worldwide.
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The University of Geneva team tested a scenario proposed by Anthony Leggett, finding it contradicts experimental results. The study reveals the importance of chemical doping in understanding high Tc superconductivity.