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Categories: Energy: Nuclear, Engineering: Graphene
Published Ultra-sensitive lead detector could significantly improve water quality monitoring
(via sciencedaily.com) Original source Engineers have developed an ultra-sensitive sensor made with graphene that can detect extraordinarily low concentrations of lead ions in water. The device achieves a record limit of detection of lead down to the femtomolar range, which is one million times more sensitive than previous technologies.
Published Scientists create effective 'spark plug' for direct-drive inertial confinement fusion experiments
(via sciencedaily.com) Original source Scientists completed several successful attempts to fire 28 kilojoules of laser energy at small capsules filled with deuterium and tritium fuel, causing the capsules to implode and produce a plasma hot enough to initiate fusion reactions between the fuel nuclei. These results demonstrate an effective 'spark plug' for direct-drive methods of inertial confinement fusion.
Published Physicists develop highly robust time crystal
(via sciencedaily.com) Original source Researchers recently succeeded in producing a highly durable time crystal that lived millions of times longer than could be shown in previous experiments. By doing so, they have corroborated an extremely interesting phenomenon that Nobel Prize laureate Frank Wilczek postulated around ten years ago and which had already found its way into science fiction movies.
Published Key dynamics of 2D nanomaterials: View to larger-scale production
(via sciencedaily.com) Original source A team of researchers mapped out how flecks of 2D materials move in liquid -- knowledge that could help scientists assemble macroscopic-scale materials with the same useful properties as their 2D counterparts.
Published Machine learning guides carbon nanotechnology
(via sciencedaily.com) Original source Carbon nanostructures could become easier to design and synthesize thanks to a machine learning method that predicts how they grow on metal surfaces. The new approach will make it easier to exploit the unique chemical versatility of carbon nanotechnology.
Published Coal-based product could replace sand in concrete
(via sciencedaily.com) Original source A new study found that graphene derived from metallurgical coke, a coal-based product, through flash Joule heating could serve not only as a reinforcing additive in cement but also as a replacement for sand in concrete.
Published Liquid lithium on the walls of a fusion device helps the plasma within maintain a hot edge
(via sciencedaily.com) Original source Emerging research suggests it may be easier to use fusion as a power source if liquid lithium is applied to the internal walls of the device housing the plasma. Past experiments studied solid lithium coatings and found they could enhance a plasma. The researchers were pleased they could yield similar results with liquid lithium, as it's better suited for use in a large-scale tokamak.
Published Researchers add a 'twist' to classical material design
(via sciencedaily.com) Original source Researchers grew a twisted multilayer crystal structure for the first time and measured the structure's key properties. The twisted structure could help researchers develop next-generation materials for solar cells, quantum computers, lasers and other devices.
Published Gravity helps show strong force strength in the proton
(via sciencedaily.com) Original source New research conducted by nuclear physicists is using a method that connects theories of gravitation to interactions among the smallest particles of matter. The result is insight into the strong force, a powerful mediator of particle interactions in the subatomic realm. The research has revealed, for the first time, a snapshot of the distribution of the shear strength of the strong force inside the proton -- or how strong an effort must be to overcome the strong force to move an object it holds in its grasp. At its peak, the nuclear physicists found that a force of over four metric tons would be required to overcome the binding power of the strong force.
Published A non-proliferation solution: Using antineutrinos to surveil nuclear reactors
(via sciencedaily.com) Original source Antineutrinos generated in nuclear fission can be measured to remotely monitor the operation of nuclear reactors and verify that they are not being used to produce nuclear weapons, report scientists. Thanks to a newly developed method, it is now possible to estimate a reactor's operation status, fuel burnup, and fuel composition based entirely on its antineutrino emissions. This technique could contribute massively to nuclear non-proliferation efforts and, in turn, safer nuclear energy.
Published Long live the graphene valley state
(via sciencedaily.com) Original source Researchers found evidence that bilayer graphene quantum dots may host a promising new type of quantum bit based on so-called valley states.
Published Solid-state qubits: Forget about being clean, embrace mess
(via sciencedaily.com) Original source New findings debunk previous wisdom that solid-state qubits need to be super dilute in an ultra-clean material to achieve long lifetimes. Instead, cram lots of rare-earth ions into a crystal and some will form pairs that act as highly coherent qubits, a new paper shows.
Published Innovative graphene-based implantable technology paves the way for high-precision therapeutic applications
(via sciencedaily.com) Original source A new study presents an innovative graphene-based neurotechnology with the potential for a transformative impact in neuroscience and medical applications.
Published Transparent brain implant can read deep neural activity from the surface
(via sciencedaily.com) Original source Researchers have developed a neural implant that provides information about activity deep inside the brain while sitting on its surface. The implant is made up of a thin, transparent and flexible polymer strip that is packed with a dense array of graphene electrodes. The technology, tested in transgenic mice, brings the researchers a step closer to building a minimally invasive brain-computer interface (BCI) that provides high-resolution data about deep neural activity by using recordings from the brain surface.
Published First direct imaging of small noble gas clusters at room temperature
(via sciencedaily.com) Original source Scientists have succeeded in the stabilization and direct imaging of small clusters of noble gas atoms at room temperature. This achievement opens up exciting possibilities for fundamental research in condensed matter physics and applications in quantum information technology. The key to this breakthrough was the confinement of noble gas atoms between two layers of graphene.
Published Functional semiconductor made from graphene
(via sciencedaily.com) Original source Researchers have created the first functional semiconductor made from graphene, a single sheet of carbon atoms held together by the strongest bonds known. The breakthrough throws open the door to a new way of doing electronics.
Published Better microelectronics from coal
(via sciencedaily.com) Original source Coal is an abundant resource in the United States that has, unfortunately, contributed to climate change through its use as a fossil fuel. As the country transitions to other means of energy production, it will be important to consider and reevaluate coal's economic role. Coal may actually play a vital role in next-generation electronic devices.
Published Laser-driving a 2D material
(via sciencedaily.com) Original source Engineers pair vibrating particles, called phonons, with particles of light, called photons, to enhance the nonlinear optical properties of hexagonal boron nitride.
Published An electrifying improvement in copper conductivity
(via sciencedaily.com) Original source A newly developed, highly conductive copper wire could find applications in the electric grid, as well as in homes and businesses. The finding defies what's been thought about how metals conduct electricity.
Published Machine learning boosts search for new materials
(via sciencedaily.com) Original source During X-ray diffraction experiments, bright lasers shine on a sample, producing diffracted images that contain important information about the material's structure and properties. But conventional methods of analyzing these images can be contentious, time-consuming, and often ineffective, so scientists are developing deep learning models to better leverage the data.