A Scientific Research Vault
Whenever we talk about “quantum”, we immediately think about quantum computers. But guess what? There’s more cool stuff in the quantum world, like these things called quantum batteries. Although, it sounds a bit puzzling but once its out of lab, it could totally shake things up especially for sustainable energy. And might even power future electric rides.
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Hopfions, the magnetic spin structures, have gained significant attention in recent years. Although their predictions have been observed several decades ago. A collaborative research effort from Sweden, Germany, and China presents it’s the first experimental evidence.
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When it comes to cancer-related fatalities, lung cancer tops the list. One of the main reasons could be the presence of tiny tumors in deep within the lung tissue. This poses a major challenge for surgical accessibility. To address this challenge, researchers at UNC Chapel Hill and Vanderbilt University have been trying to fabricate an exceptionally flexible yet durable robot. The device will have the capability of maneuvering through the intricate terrain of the lungs.
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Physicists and engineers have been working on quantum technologies, like quantum microscopes, for years. The tool enables for in-depth study of the properties of quantum particles and states. Recently, a team from SQC/UNSW Sydney and the University of Melbourne has developed a solid-state quantum microscope. The microscope can manipulate and analyse atomic qubits in silicon.
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Researchers from Pacific Northwest National Laboratory (PNNL) achieved a breakthrough by using a common food and medicine additive, β-cyclodextrin, derived from starch, in flow battery design. The battery maintained ability to store and release energy for more than a year of continuous charge and discharge.
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In the intricate weave of the quantum realm, there exists a remarkable phenomenon known as Rydberg states. They are like the supercharged versions of atoms and molecules. These electrifying states of particles push the boundaries of our regular understanding of the quantum world.
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Semiconductor industry is soaked with one of the most ever-advancing technologies. The demand for smaller, faster, and more efficient microchips keeps the world of semiconductors on its toes. Computational lithography has totally revolutionized the field by meeting the desired level of precision and complexity in chip design.
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A team of researchers have successfully simulated complex natural phenomena at the quantum level. Scientists at the University of Rochester’s Hajim School of Engineering & Applied Sciences have developed a chip-scale optical quantum simulation system. Conventionally, photonics-based computing involves controlling the paths of photons. This time, the team led by Qiang Lin has taken a different approach. According to which, they have simulated the phenomena in a synthetic space. And they have manipulated the frequency, or color, of quantum entangled photons as time progresses.
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An international team of researchers has identified a programmable RNA-guided system in eukaryotes. Eukaryotes encompass plants, animals, fungi, and protists. The newly discovered system is based on a protein called Fanzor. It uses RNA as a guide to precisely target DNA. The researchers demonstrated that Fanzor proteins can be reprogrammed to edit the genome of human cells. Compared to CRISPR/Cas systems, the Fanzor system is more compact and has the potential to be delivered more easily to cells and tissues as therapeutics.
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One of the biggest challenges that still haunts tissue engineering and regenerative medicine is, how to mimic the properties of articular cartilage in synthetic materials. Articular cartilage possesses a unique combination of stiffness and toughness. These features allow the connective tissues to withstand the mechanical stresses and strains experienced during joint movement.
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Semiconductor manufacturing is experiencing rapid and dynamic growth. The exponential evolution is making it one of the most swiftly evolving industries globally. As technology is advancing, the electronic devices are progressively shrinking in size. Behind this constant innovation lies the incredible field of “computational lithography”. It is the heart of semiconductor industry. After all, it blends the power of computers, mathematics, and precision engineering. Only to create intricate microscale structures on silicon wafers.
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At the fundamental level, function of human cell is to convert nutrients into energy and useful products that sustain life. In the process, these cells give out certain waste products that otherwise cause harm to the inner environment. For instance, reactive oxygen species (ROS) molecule is one of the natural byproducts of cellular metabolism. ROS are highly reactive molecules that contain oxygen atoms with unpaired electrons.
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Dr. Kai Wang is PhD, Principal Investigator, and Assistant Research Professor at the Department of Materials Science and Engineering, Penn State. His recent work on intelligent and efficient panchromatic imaging for artificial retina biotechnology, caught our attention and so we tried to touch base with him for an interview. We got lucky, as he agreed to spend some time with us. Dr. Wang, here, talks about his quest to understand the mechanisms of cognition within the neural topological structures of the brain. And how these natural intelligences can be influenced…
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Conventional methods in synthetic biology for cell-based therapies focus on using specific proteins to achieve a desired effect in cells. For instance, cancer treatment involves certain proteins to kill cancer cells. while, some proteins are used to help tissues regenerate after an injury. This process, however, is lengthy as it takes time for the proteins to be produced and break down. Additionally, it requires a lot of energy from the cells.
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Lately, there has been growing interest in creating brain-inspired hardware for enhancing efficiency of AI models. Conventional hardware architectures are specialized in three specific tasks, which are: Researches across the globe, however, are exploring the possibility of combining these functionalities into a single device. They aim to mimic the parallel and distributed nature of the human brain.
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