Physics

A recent study published in Nature Communications by physicists from Singapore and the UK has unveiled a groundbreaking optical phenomenon analogous to the traditional Kármán vortex street (KVS). This optical KVS pulse showcases intriguing similarities between fluid dynamics and the energy flow of structured light. Lead author Yijie Shen of Nanyang Technological University describes the
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In a groundbreaking study published in the journal Optica, researchers at HHMI’s Janelia Research Campus have revolutionized the field of microscopy by adapting techniques used in astronomy to enhance the clarity and sharpness of biological imaging. By utilizing a class of methods known as phase diversity, traditionally employed in astronomy to unblur images of distant
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In a groundbreaking development, researchers at the University of California, Los Angeles (UCLA) have made significant strides in the field of optical imaging technology. The creation of an all-optical complex field imager marks a pivotal moment in the realm of imaging devices. This innovative technology has the ability to capture both amplitude and phase information
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A groundbreaking development in the field of materials science has recently surfaced, showcasing a remarkable achievement of a 5% giant magneto-superelasticity in a Ni34Co8Cu8Mn36Ga14 single crystal. This advancement was made possible through the introduction of arrays of ordered dislocations, resulting in the formation of preferentially oriented martensitic variants during the magnetically induced reverse martensitic transformation.
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The development of a new oxide material, Ca3Co3O8, has garnered attention due to its unique combination of properties that include ferromagnetism, polar distortion, and metallicity. This breakthrough highlights the concept of polar metals and has piqued the interest of the scientific community. The research, published in Nature Materials, was a collaborative effort involving researchers from
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The realm of quantum computing has seen a significant breakthrough with researchers at MIT and MITRE developing a scalable hardware platform that integrates thousands of interconnected qubits onto a customized integrated circuit. This “quantum-system-on-chip” (QSoC) architecture showcases the potential for precise tuning and control of a dense array of qubits. This advancement paves the way
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Strong field quantum optics is a rapidly evolving area of research that combines aspects of non-linear photoemission based on strong field physics with the well-established field of quantum optics. While the behavior of light particles has been extensively studied in both classical and non-classical light sources, the impact of these light particle distributions on photoemission
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Soft devices, such as flexible robots and drug delivery capsules, have the potential to greatly benefit from a newly proposed physical mechanism that could enhance the performance of hydrogels. In a recent publication by Virginia Tech physicists, a groundbreaking discovery was made that could revolutionize the field of soft robotics and material science. This research
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In a recent study conducted by researchers at the University of Bristol, a significant advancement in quantum technology has been achieved. The integration of the world’s smallest quantum light detector onto a silicon chip marks a crucial step towards harnessing the power of quantum technologies using light. The paper, titled “A Bi-CMOS electronic photonic integrated
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Majoranas, named after an Italian theoretical physicist, are complex quasiparticles that hold the promise of revolutionizing the field of quantum computing. Unlike traditional electrons, Majoranas possess unique characteristics that make them ideal for applications in advanced computing systems. These particles can exist in specific types of superconductors and in a quantum state of matter known
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In a groundbreaking study conducted by researchers from the University of Illinois Urbana-Champaign, a new approach to modeling diffusion in multicomponent alloys has been introduced. This innovative method involves breaking down diffusion into individual contributions, termed “kinosons,” and utilizing machine learning to determine the statistical distribution of these contributions. The results of this study have
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