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Multiple techniques to characterize an enzyme complex shed light on how bacteria create particles and contribute to global cycles.

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This is one in a series of profiles on directors of the SC-stewarded user facilities. This profile features Sergei Nagaitsev, director of the Fermilab Accelerator Complex.

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Study shows how aerosols interacting with clouds can be accurately captured by sparse set of representative particles.

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Without fungi, dead trees wouldn’t decay. The short-order cooks of the natural world, certain types of fungi can decompose plant cell walls and deposit carbon back in the soil. Scientists supported by the Department of Energy’s Office of Science are investigating these processes and how we may be able to use them to make biofuels production cheaper and more efficient.

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Where does the heat go when a glass melts into a liquid? Not to changing the vibrations of atoms….

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Engineered stacked perovskite layers harvest light or create light via layer edges.

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Including phosphorus in predictions of photosynthesis may improve models of tropical forests where the supply of the nutrient is limited.

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New open-source software simulates river and runoff resources.

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New measurements offer data vital to projecting plant response to environmental changes.

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Non-destructive technique identifies key variations in Alaskan soils, quickly providing insights into carbon levels.

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Plasma physicists significantly improve the vertical stability of a Korean fusion device.

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Crumpling reduces rigidity in an otherwise stiff material, making it less prone to catastrophic failure.

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New approach offers data across species, sites, and canopies, providing insights into carbon uptake by forests.

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The magnetic noise caused by adsorbed oxygen molecules is “eating at” the phase stability of quantum bits, mitigating the noise is vital for future quantum computers.

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An electric field switches the conductivity on and off in atomic-scale channels, which could allow for upgrades at will.

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Water passes through human-made straws faster than the “gold standard” protein, allowing us to filter seawater.

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Machine learning and neural networks are the foundation of artificial intelligence and image recognition, but now they offer a bridge to see and recognize exotic insulating phases in quantum materials.

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A revolutionary material harbors magnetism and massless electrons that travel near the speed of light—for future ultrasensitive, high-efficiency electronics and sensors.

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Observed atomic dynamics helps explain bizarre flow without friction that has been puzzling scientists for decades.

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Electrons are forced to the edge of the road on a thin sheet of tungsten ditelluride.

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Detector measures the energy a neutrino imparts to protons and neutrons to help explain the nature of matter and the universe.

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Real-time imaging shows how hydrogen causes oxygen to leave a buried surface, transforming an oxide into a metal.

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Simply applying a small voltage dramatically changes the atomic structure, vital to creating materials for advanced computer memory.

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Microwave heating significantly alters Alfven waves, offering insights into the physics of the waves themselves.

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Scientists map electrical currents emanating from the boundary of a tokamak plasma, providing new information for reactor design.

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International collaborators advance physics basis for tokamak plasma confinement at low rotation, potentially benefiting a fusion reactor.

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Large-scale simulations of quarks promise precise view of reactions of astrophysical importance.

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Gravitational wave observations combined with optical and gamma-ray data confirm earlier predictions, offer insights into how the galaxy produces lead, mercury, and other elements.

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A new x-ray beam technique tracks atomic-level changes under real-world operating conditions.

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Measured strong coupling of vibrations and electrons could lead to controlled magnetism and electronic properties.

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Focused x-ray beam revealed structural changes from laser heating, pinning down elusive melting point.

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For one of the strongest known materials, calculations clarify a long-standing debate about how atoms pack together.

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Theory predicts that bending a film will control spin direction and create a spin current for next-generation electronics.

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Cage-like molecules with internal chemical hooks remove three times more hazardous radioactive iodine compounds than current methods.

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Lasers reveal a new state of matter—the first 3-D quantum liquid crystal.

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Unexpectedly, a little chemical substitution stabilizes unusual magnetic phase of vortexes called skyrmions.

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New, unexpected paradigm discovered: Disorder may actually promote an exotic quantum state, with potential for ultrafast computing.

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Shining light on a growing semiconductor modifies its interface with the surface and could improve the optical properties of each.

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Soil microbes work as both decomposers and synthesizers of carbon compounds in soil, offering new answers with impacts to crops and eco-health.

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Scientists reduce uncertainties in future climate prediction by directly coupling an energy-economy model to an Earth system model.

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Scientists show that grasslands are more sensitive to changes in the amount of moisture in the air than to changes in precipitation.

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Scientists evaluate seven hydrologic models to understand how each model agrees and differs.

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Atmospheric Radiation Measurement (ARM) observations provide clues on atmospheric contributions to an Antarctic melt event.

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In quark-gluon plasma, which existed just after the Big Bang, quarks and gluons move freely, not part of the protons and neutrons that make up ordinary matter. Scientists supported by the DOE's Office of Science are working to understand where and how quark-gluon plasma turns into ordinary matter.

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Highest concentration and yield of valuable chemicals reported in industrial yeast Saccharomyces cerevisiae.

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Scientists unlock the key to efficiently make a new class of engineering polymers.

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An entirely human-made architecture produces hydrogen fuel using light, shows promise for transmitting energy in numerous applications.

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Novel defect control in graphene enables direct imaging of trapped electrons that follow Einstein’s rules.

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Metal-organic frameworks with chains of iron centers adsorb and release carbon monoxide with very little energy input.

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Researchers are grappling with increasingly large quantities of image-based data. Machine learning and deep learning offer researchers new ways to analyze images quickly and more efficiently than ever before. Scientists at multiple national laboratories are working together to harness the potential of these tools.