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Categories: Energy: Fossil Fuels, Physics: General

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Researchers have demonstrated the remarkable ability to perturb pairs of spatially separated yet interconnected quantum entangled particles without altering their shared properties.

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A study has found that green ammonia could be used to fulfill the fuel demands of over 60% of global shipping by targeting just the top 10 regional fuel ports. Researchers looked at the production costs of ammonia which are similar to very low sulphur fuels, and concluded that the fuel could be a viable option to help decarbonize international shipping by 2050.

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A study has used the power of machine learning to overcome a key challenge affecting quantum devices. For the first time, the findings reveal a way to close the 'reality gap': the difference between predicted and observed behavior from quantum devices.

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To address natural resource scarcity, pollution, and other harmful effects of climate change, some scientists and policymakers emphasize the adoption of input-efficient technologies like water-saving devices and fuel-saving stoves. Proponents often refer to these input-efficient technologies as 'win-win,' for the benefits to their users and to the environment, and lament their low adoption rates by consumers, in what they call an 'efficiency paradox.' A new paper examines this paradox and finds that the benefits to consumers from input-efficiency adoption are, on average, negative.

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Spin-orbit torque (SOT), an important phenomenon for developing ultrafast and low-power spintronic devices, can be enhanced through Berry phase monopole engineering at high temperatures. In a new study, the temperature dependence of the intrinsic spin Hall effect of TaSi2 was investigated. The results suggest that Berry phase monopole engineering is an effective strategy for achieving high-temperature SOT spintronic devices.

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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.

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Perovskite nanosheets show distinctive characteristics with significant applications in science and technology. In a recent study, researchers achieved enhanced signal amplification in CsPbBr3 perovskite nanosheets with a unique waveguide pattern, which enhanced both gain and thermal stability. These advancements carry wide-ranging implications for laser, sensor, and solar cell applications, and can potentially influence areas like environmental monitoring, industrial processes, and healthcare.

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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.

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Researchers have fabricated a new high-performance shortwave infrared (SWIR) image sensor based on non-toxic colloidal quantum dots. They report on a new method for synthesizing functional high-quality non-toxic colloidal quantum dots integrable with complementary metal-oxide-semiconductor (CMOS) technology.

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Researchers have discovered that molecules experience non-reciprocal interactions without external forces. Fundamental forces such as gravity and electromagnetism are reciprocal, where two objects are attracted to each other or are repelled by each other. In our everyday experience, however, interactions don t seem to follow this reciprocal law.

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Researchers have developed a solid electrolyte for transporting hydride ions at room temperature. This breakthrough means that the full advantages of hydrogen-based solid-state batteries and fuel cells can be had without the need for constant hydration. This will reduce their complexity and cost, which is essential for advancing towards a practical hydrogen-based energy economy.

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Engineers pair vibrating particles, called phonons, with particles of light, called photons, to enhance the nonlinear optical properties of hexagonal boron nitride.

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Lights could soon use the full color suite of perfectly efficient organic light-emitting diodes, or OLEDs, that last tens of thousands of hours. The new phosphorescent OLEDs, commonly referred to as PHOLEDs, can maintain 90% of the blue light intensity for 10-14 times longer than other designs that emit similar deep blue colors. That kind of lifespan could finally make blue PHOLEDs hardy enough to be commercially viable in lights that meet the Department of Energy's 50,000-hour lifetime target. Without a stable blue PHOLED, OLED lights need to use less-efficient technology to create white light.

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An international research team recently demonstrated how magnetism can be actively changed by pressure.

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Scientists have developed a method to extract the spectral density for molecules in solvent using simple resonance Raman experiments -- a method that captures the full complexity of chemical environments.

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A research team has unveiled a remarkable breakthrough in the form of a two-dimensional (2D) Metal Organic Framework (MOF) that showcases unprecedented origami-like movement at the molecular level. This pioneering study represents a significant leap forward in the field of dynamic materials, while also hinting at futuristic applications in metamaterials and quantum computing.

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Using conventional X-rays and lasers to detect the atomic state of hydrogen is challenging, given its small size. A group of researchers may have overcome this barrier by unveiling a new visualization technique that employs an optical microscope and polyaniline to paint a better picture of how hydrogen behaves in metals.

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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.

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Researchers developed a way to quickly calculate the transition state structure of a chemical reaction, using machine-learning models.

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Research reveals the ballistic movement of electrons in graphene in real time. The observations could lead to breakthroughs in governing electrons in semiconductors, fundamental components in most information and energy technology.