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Categories: Engineering: Robotics Research, Physics: General
Published A breakthrough on the edge: One step closer to topological quantum computing
(via sciencedaily.com) Original source Researchers have achieved a significant breakthrough in quantum materials, potentially setting the stage for advancements in topological superconductivity and robust quantum computing.
Published Researchers show promising material for solar energy gets its curious boost from entropy
(via sciencedaily.com) Original source Researchers discovered a microscopic mechanism that solves in part the outstanding performance achieved by a new class of organic semiconductors known as non-fullerene acceptors (NFAs).
Published Moving from the visible to the infrared: Developing high quality nanocrystals
(via sciencedaily.com) Original source Awarded the 2023 Nobel Prize in Chemistry, quantum dots have a wide variety of applications ranging from displays and LED lights to chemical reaction catalysis and bioimaging. These semiconductor nanocrystals are so small -- on the order of nanometers -- that their properties, such as color, are size dependent, and they start to exhibit quantum properties. This technology has been really well developed, but only in the visible spectrum, leaving untapped opportunities for technologies in both the ultraviolet and infrared regions of the electromagnetic spectrum.
Published Detecting defects in tomorrow's technology
(via sciencedaily.com) Original source New research offers an enhanced understanding of common defects in transition-metal dichalcogenides (TMDs) -- a potential replacement for silicon in computer chips -- and lays the foundation for etching smaller features.
Published Visualizing short-lived intermediate compounds produced during chemical reactions
(via sciencedaily.com) Original source Immobilizing small synthetic molecules inside protein crystals proves to be a promising avenue for studying intermediate compounds formed during chemical reactions, scientists report. By integrating this method with time-resolved serial femtosecond crystallography, they successfully visualized reaction dynamics and rapid structural changes occurring within reaction centers immobilized inside protein crystals. This innovative strategy holds significant potential for the intelligent design of drugs, catalysts, and functional materials.
Published A 2D device for quantum cooling
(via sciencedaily.com) Original source Engineers have created a device that can efficiently convert heat into electrical voltage at temperatures lower than that of outer space. The innovation could help overcome a significant obstacle to the advancement of quantum computing technologies, which require extremely low temperatures to function optimally.
Published Single atoms show their true color
(via sciencedaily.com) Original source A new technique reveals single atom misfits and could help design better semiconductors used in modern and future electronics.
Published Scientists discover way to 'grow' sub-nanometer sized transistors
(via sciencedaily.com) Original source A research team has implemented a novel method to achieve epitaxial growth of 1D metallic materials with a width of less than 1 nm. The group applied this process to develop a new structure for 2D semiconductor logic circuits. Notably, they used the 1D metals as a gate electrode of the ultra-miniaturized transistor.
Published A genetic algorithm for phononic crystals
(via sciencedaily.com) Original source Researchers tested phononic nanomaterials designed with an automated genetic algorithm that responded to light pulses with controlled vibrations. This work may help in the development of next-generation sensors and computer devices.
Published Machine learning could aid efforts to answer long-standing astrophysical questions
(via sciencedaily.com) Original source Physicists have developed a computer program incorporating machine learning that could help identify blobs of plasma in outer space known as plasmoids. In a novel twist, the program has been trained using simulated data.
Published Mapping the surfaces of MXenes, atom by atom, reveals new potential for the 2D materials
(via sciencedaily.com) Original source In the decade since their discovery, the family of two-dimensional materials called MXenes has shown a great deal of promise for applications ranging from water desalination and energy storage to electromagnetic shielding and telecommunications, among others. While researchers have long speculated about the genesis of their versatility, a recent study has provided the first clear look at the surface chemical structure foundational to MXenes' capabilities.
Published Clever clothes! Seams in clothing capture body movement
(via sciencedaily.com) Original source Everyday clothing may soon be able to capture and record body movements according to new research.
Published Giant clams may hold the answers to making solar energy more efficient
(via sciencedaily.com) Original source Solar panel and biorefinery designers could learn a thing or two from iridescent giant clams living near tropical coral reefs, according to a new study. This is because giant clams have precise geometries -- dynamic, vertical columns of photosynthetic receptors covered by a thin, light-scattering layer -- that may just make them the most efficient solar energy systems on Earth.
Published Nuclear spectroscopy breakthrough could rewrite the fundamental constants of nature
(via sciencedaily.com) Original source Raising the energy state of an atom's nucleus using a laser, or exciting it, would enable development of the most accurate atomic clocks ever to exist. This has been hard to do because electrons, which surround the nucleus, react easily with light, increasing the amount of light needed to reach the nucleus. By causing the electrons to bond with fluorine in a transparent crystal, UCLA physicists have finally succeeded in exciting the neutrons in a thorium atom's nucleus using a moderate amount of laser light. This accomplishment means that measurements of time, gravity and other fields that are currently performed using atomic electrons can be made with orders of magnitude higher accuracy.
Published Neutrons on classically inexplicable paths
(via sciencedaily.com) Original source Is nature really as strange as quantum theory says -- or are there simpler explanations? New neutron measurements prove: It doesn't work without the strange properties of quantum theory.
Published A prosthesis driven by the nervous system helps people with amputation walk naturally
(via sciencedaily.com) Original source With a new surgical intervention and neuroprosthetic interface, researchers restored a natural walking gait in people with amputations below the knee. Seven patients were able to walk faster, avoid obstacles, and climb stairs more naturally than people with a traditional amputation.
Published New and improved camera inspired by the human eye
(via sciencedaily.com) Original source Computer scientists have invented a camera mechanism that improves how robots see and react to the world around them. Inspired by how the human eye works, their innovative camera system mimics the tiny involuntary movements used by the eye to maintain clear and stable vision over time.
Published Nanorobot with hidden weapon kills cancer cells
(via sciencedaily.com) Original source Researchers have developed nanorobots that kill cancer cells in mice. The robot's weapon is hidden in a nanostructure and is exposed only in the tumour microenvironment, sparing healthy cells.
Published Visual explanations of machine learning models to estimate charge states in quantum dots
(via sciencedaily.com) Original source To form qubit states in semiconductor materials, it requires tuning for numerous parameters. But as the number of qubits increases, the amount of parameters also increases, thereby complicating this process. Now, researchers have automated this process, overcoming a significant barrier to realizing quantum computers.
Published The future of metals research with artificial intelligence
(via sciencedaily.com) Original source A research team has developed an optimal artificial intelligence model to predict the yield strength of various metals, effectively addressing traditional cost and time limitations.