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Categories: Engineering: Nanotechnology, Geoscience: Earthquakes
Published Sichuan Province earthquake offers lessons for landslide prediction from GNSS observations



Using data collected from a 2022 magnitude 6.8 earthquake in Luding County in China's Sichuan Province, researchers tested whether Global Navigation Satellite System (GNSS) observations could be used for rapid prediction of earthquake-triggered landslides.
Published X-ray imagery of vibrating diamond opens avenues for quantum sensing



Scientists at three research institutions capture the pulsing motion of atoms in diamond, uncovering the relationship between the diamond's strain and the behavior of the quantum information hosted within.
Published Soft gold enables connections between nerves and electronics



Gold does not readily lend itself to being turned into long, thin threads. But researchers have now managed to create gold nanowires and develop soft electrodes that can be connected to the nervous system. The electrodes are soft as nerves, stretchable and electrically conductive, and are projected to last for a long time in the body.
Published Concept for efficiency-enhanced noble-metal catalysts



The production of more than 90 percent of all chemical products we use in our everyday lives relies on catalysts. Catalysts speed up chemical reactions, can reduce the energy required for these processes, and in some cases, reactions would not be possible at all without catalysts. Researchers developed a concept that increases the stability of noble-metal catalysts and requires less noble metal for their production.
Published Study revisits Texas seismic activity occurring before 2017, confirming connection to wastewater injection



A new study by seismologists reexamines earthquakes in the Permian Basin that occurred before 2017 against the real-time data collected from earthquakes taking place after 2020. Results confirm that the seismicity occurring from 2009-2017 was causally linked to the underground injection of wastewater that is a byproduct of oil and gas extraction.
Published Seismic detectors measure soil moisture using traffic noise



Using state of the art techniques, researchers use vibrations from traffic to measure underground soil moisture.
Published New model refutes leading theory on how Earth's continents formed



Computational modeling shows that plate tectonics weren't necessary for early continents.
Published Novel ultrafast electron microscopy technique advances understanding of processes applicable to brain-like computing



A team developed a new microscopy technique that uses electrical pulses to track the nanosecond dynamics within a material that is known to form charge density waves. Controlling these waves may lead to faster and more energy-efficient electronics.
Published Stacked up against the rest



Scientists have hypothesized that moir excitons -- electron-hole pairs confined in moir interference fringes which overlap with slightly offset patterns -- may function as qubits in next-generation nano-semiconductors. However, due to diffraction limits, it has not been possible to focus light enough in measurements, causing optical interference from many moir excitons. To solve this, researchers have developed a new method of reducing these moir excitons to measure the quantum coherence time and realize quantum functionality.
Published Sustainable and reversible 3D printing method uses minimal ingredients and steps



A new 3D printing method developed by engineers is so simple that it uses a polymer ink and salt water solution to create solid structures. The work has the potential to make materials manufacturing more sustainable and environmentally friendly.
Published Towards smart cities: Predicting soil liquefaction risk using artificial intelligence



Soil liquefaction that results in infrastructure damage has long been a point of contention for urban planners and engineers. Accurately predicting the soil liquefaction risk of a region could help overcome this challenge. Accordingly, researchers applied artificial intelligence to generate soil liquefaction risk maps, superseding already published risk maps.
Published Pursuing the middle path to scientific discovery



Scientists have made significant strides in understanding the properties of a ferroelectric material under an electric field. This breakthrough holds potential for advances in computer memory, lasers and sensors for ultraprecise measurements.
Published Researchers identify unique phenomenon in Kagome metal



A new study focuses on how a particular Kagome metal interacts with light to generate what are known as plasmon polaritons -- nanoscale-level linked waves of electrons and electromagnetic fields in a material, typically caused by light or other electromagnetic waves.
Published Researchers trap atoms, forcing them to serve as photonic transistors



Researchers have developed a means to realize cold-atom integrated nanophotonic circuits.
Published Hair follicle models from the 3D printer



Hair follicle infections are often difficult to treat because bacteria settle in the gap between hair and skin, where it is difficult for active substances to reach them. In order to investigate this scenario more closely in the laboratory, researchers have now developed a model with human hair follicles embedded in a matrix produced using 3D printing. In the future, this model can be used to test the effectiveness of new drug candidates against corresponding pathogens directly on human follicles.
Published Scientists work to build 'wind-up' sensors



An international team of scientists has shown that twisted carbon nanotubes can store three times more energy per unit mass than advanced lithium-ion batteries. The finding may advance carbon nanotubes as a promising solution for storing energy in devices that need to be lightweight, compact, and safe, such as medical implants and sensors.
Published Researchers explore the interplay between high-affinity DNA and carbon nanotubes



Single-walled carbon nanotubes (SWCNTs) hold promise for biomedicine and nanoelectronics, yet the functionalization with single-stranded DNA (ssDNA) remains a challenge. Researchers using high-affinity ssDNA sequences identified through high-throughput selection. They demonstrated the effectivity and stability of these constructs using molecular dynamics simulations. Machine-learning models were used to accurately predict patterns that govern ssDNA-SWCNT binding affinity. These findings provide valuable insights into the interactions between ssDNA and SWCNTs.
Published Nanoscale device simultaneously steers and shifts frequency of optical light, pointing the way to future wireless communication channels



A tunable metasurface can control optical light in space and time, offering a path toward new ways of wirelessly and securely transmitting large amounts of data both on Earth and in space.
Published Researchers develop new method for achieving controllable tuning and assessing instability in 2D materials for engineering applications



Two-dimensional (2D) materials have atomic-level thickness and excellent mechanical and physical properties, with broad application prospects in fields such as semiconductors, flexible devices, and composite materials.
Published Shining light on amyloid architecture



Researchers use microscopy to chart amyloid beta's underlying structure and yield insight into neurodegenerative disease.