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Categories: Environmental: Wildfires, Physics: Quantum Computing

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Scientists found that fires in America's dry conifer forests are burning hotter and killing more trees today than in previous centuries. The main culprit? Paradoxically, a lack of fires.

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Researchers have created a quantum superposition state in a semiconductor nanostructure that might serve as a basis for quantum computing. The trick: two optical laser pulses that act as a single terahertz laser pulse.

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The study takes a new approach to answer a long-standing mystery about insulator-to-metal transitions.

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The new carbon nanotube sensor design resembles a molecular toolbox that can be used to quickly assemble sensors for a variety of purposes -- for instance for detecting bacteria and viruses.

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Researchers have created the first tool to map and visualize the areas where human settlements and nature meet on a global scale. The tool could improve responses to environmental conflicts like wildfires, the spread of zoonotic diseases and loss of ecosystem biodiversity.

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Scientists have demonstrated experimentally a long-theorized relationship between electron and nuclear motion in molecules, which could lead to the design of materials for solar cells, electronic displays and other applications that can make use of this powerful quantum phenomenon.

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In our modern era of larger, more destructive, and longer-lasting fires -- called the Pyrocene -- plants and animals are evolving quickly to survive. By synthesizing the wide body of research about rapid animal evolution in response to fire, a multidisciplinary team of ecology experts hopes to leverage what we already know to help foster evolution-informed conservation plans. In this way, they suggest, we can try to harness the ways in which fire impacts animals to protect vulnerable species -- working with evolution instead of against it.

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Researchers analyzed more than 500,000 motion-sensor camera trap images taken at a Northern California reserve in the years before and after the Mendocino Complex Fire to understand how the blaze impacted small- and medium-sized mammals. The study is one of the first to compare wildlife observations made before and after a megafire, and is also one of a limited number of studies to focus on the impacts of megafires on California's oak woodlands.

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Scientists once assumed that flooding and mudslides after wildfires were linked to the waxy coating that builds up on charred soil, preventing water absorption. Researchers found that water flow came from absorbed water in both burnt and unburnt areas, suggesting that water was, in fact, being absorbed into burnt ground. The discovery provides valuable insights into where and when potential flooding and mudslides may occur and how landscapes recover after a wildfire.

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Researchers have achieved a groundbreaking milestone in studying how vortices move in these quantum fluids. A new study of vortex ring motion in superfluid helium provides crucial evidence supporting a recently developed theoretical model of quantized vortices.

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A new theoretical study provides a framework for understanding nonlocality, a feature that quantum networks must possess to perform operations inaccessible to standard communications technology. By clarifying the concept, researchers determined the conditions necessary to create systems with strong, quantum correlations.

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The future of electronics will be based on novel kinds of materials. Sometimes, however, the naturally occurring topology of atoms makes it difficult for new physical effects to be created. To tackle this problem, researchers have now successfully designed superconductors one atom at a time, creating new states of matter.

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One of the most basic assumptions of fundamental physics is that the different properties of mass -- weight, inertia and gravitation -- always remain the same in relation to each other. Although all measurements to date confirm the equivalence principle, quantum theory postulates that there should be a violation. This inconsistency between Einstein's gravitational theory and modern quantum theory is the reason why ever more precise tests of the equivalence principle are particularly important. A team has now succeeded in proving with 100 times greater accuracy that passive and active gravitational mass are always equivalent -- regardless of the particular composition of the respective masses.

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Routing signals and isolating them against noise and back-reflections are essential in many practical situations in classical communication as well as in quantum processing. In a theory-experimental collaboration, a team has achieved unidirectional transport of signals in pairs of 'one-way streets'. This research opens up new possibilities for more flexible signaling devices.

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Scientists have shown it's possible to grow fungi in thin sheets that could be used for fire-retardant cladding or even a new kind of fungal fashion.

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Nothing exists in a vacuum, but physicists often wish this weren't the case. If the systems that scientists study could be completely isolated from the outside world, things would be a lot easier. Take quantum computing. It's a field that's already drawing billions of dollars in support from tech investors and industry heavyweights including IBM, Google and Microsoft. But if the tiniest vibrations creep in from the outside world, they can cause a quantum system to lose information.

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The unequal distribution of wildfire risk in our society is influenced by various factors, such as social vulnerabilities and intersecting forms of inequality, including gender, age, ethnicity, or disability. A new article calls for more integrated and inclusive wildfire risk management approaches and proposes a novel framework mapping different justice aspects.

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A team conducted an in-depth investigation of the magnetism of TbMn6Sn6, a Kagome layered topological magnet. They were surprised to find that the magnetic spin reorientation in TbMn6Sn6 occurs by generating increasing numbers of magnetically isotropic ions as the temperature increases.

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The arrangement of electrons in matter, known as the electronic structure, plays a crucial role in fundamental but also applied research such as drug design and energy storage. However, the lack of a simulation technique that offers both high fidelity and scalability across different time and length scales has long been a roadblock for the progress of these technologies. Researchers have now pioneered a machine learning-based simulation method that supersedes traditional electronic structure simulation techniques. Their Materials Learning Algorithms (MALA) software stack enables access to previously unattainable length scales.

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A new platform enables researchers to 'grow' halide perovskite nanocrystals with precise control over the location and size of each individual crystal, integrating them into nanoscale light-emitting diodes.