Fundamental and applied physics.
Researchers developed a technique to transport weakly coherent photons over long distances, paving the way for advanced telescopes that could see finer details in distant stars and galaxies.
Researchers developed more efficient quantum error correction codes that can tolerate higher rates of data loss, a key step toward reliable quantum computing.
Researchers developed a new AI model that can accurately predict the behavior of light beams in complex environments, which could improve wireless communication technologies like 5G and beyond.
A new study suggests that including a specific mathematical term in theories of the early universe could change our understanding of inflation, though the full implications are unclear from the limited information provided.
Researchers developed a laser-based system that can create artificial structures resembling the scaffolding inside cells. This advance could help scientists better study how proteins interact with cellular structures.
Researchers found a new way to precisely control the magnetic properties of an ultra-thin material, which could improve the performance of future spin-based electronic devices.
Researchers developed a new mathematical technique to study the broad landscape of possible fundamental physics theories. This could help uncover deep insights about the nature of reality.
Lasers can temporarily disrupt the flow of electricity in superconductor materials, which could lead to new ways of controlling the behavior of these materials for electronic devices.
A device that emits light can be made to give off more light when it's moving near a reflective surface. This could lead to brighter, more efficient light sources.
Researchers developed a new machine learning technique to better understand materials at the atomic level. This could lead to improved designs for energy storage, electronics and other applications that rely on advanced materials.
Astronomers detected powerful gamma-ray emissions coming from a nearby galaxy, which could reveal clues about extreme cosmic events like black hole activity or particle acceleration.
Researchers studied how random surfaces like crumpled paper or flowing water can behave in certain mathematical models. This could lead to better understanding of complex phenomena in nature and physics.
Scientists developed a new imaging technique that can measure concentration gradients in 2D without using labels, which could help researchers better understand processes like drug diffusion and cell signaling.
The buildup of static electricity on identical materials is driven by carbonaceous molecules stuck to their surfaces, a surprisingly complex process with implications for static discharge in everyday objects.
Researchers found that the sudden force spike that happens when sliding surfaces start moving is often smaller at large scales, suggesting the effect is linked to microscopic details of the contact. This finding could help engineers design better sliding interfaces.
Electrons in certain materials can behave in an unusual way due to interactions with a new type of atomic vibration. This discovery could shed light on the unusual properties of some materials important for electronics and quantum computing.
Researchers developed new quantum algorithms that can efficiently model chemical reactions on future quantum computers, potentially revolutionizing materials science and drug discovery.
Researchers developed a new machine learning model that can more accurately measure the warping of light caused by distant galaxies, which helps us better understand dark matter and the structure of the universe.
Researchers discovered a new material that can absorb and hold onto light energy for a long time, which could lead to more efficient solar cells and other energy technologies.
Researchers developed a new machine learning technique to better understand materials at the atomic level. This could lead to improved designs for energy storage, electronics and other applications that rely on advanced materials.
Researchers developed a new quantum algorithm that can solve linear systems faster than classical computers by optimizing the initial state preparation. This advance could enable quantum computers to outperform classical ones for certain computational problems.
Researchers have entangled the motion of a microscopic object with light, a step towards using quantum effects to precisely control and measure the physical world.
Researchers developed a new algorithm to model superconductivity more accurately, which could lead to improved understanding and prediction of real-world superconducting materials.
Researchers found a fundamental relationship between temperature, entropy, and quantum systems. This advances our understanding of quantum physics and how it governs the behavior of microscopic systems.
Astronomers observed an unusually bright afterglow from a distant gamma-ray burst, which challenges our current understanding of how these cosmic explosions work and may lead to new insights about the physics of the universe.
Researchers created self-contained droplets of ultracold molecules with strong magnetic properties, opening new ways to study exotic quantum materials.
Researchers developed a new mathematical framework for understanding quantum phases of matter, with potential applications in quantum computing. This could lead to improved understanding and control of exotic quantum systems.
Researchers developed a new type of neural network that can more accurately model complex quantum and classical systems at a larger scale. This could lead to more efficient simulations and better understanding of phenomena like superconductivity.
Researchers developed a new theory to explain how magnetic materials like single-molecule magnets can store information by controlling their spin-phonon interactions, which could lead to improvements in quantum computing and data storage.
Researchers discovered a new technique to efficiently simulate quantum systems using standard computers. This could lead to breakthroughs in fields like chemistry and materials science by allowing complex quantum problems to be solved on regular computers.