Physics

Understanding how wind moves pollen can guide urban planning decisions about green spaces

Due to climate change, plants’ pollination season has been growing longer and longer. As a result, people are exposed to allergens for extended periods each year, raising a major public health concern. Researchers from Embry‑Riddle Aeronautical University, the University of Rouen Normandy and the University of Lille have developed an advanced computational model of outdoor […]

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'Mesoscale' swimmers could pave way for drug delivery robots inside the body

In physics, the mesoscale lies between the microscopic and the macroscopic. It is not just the domain of tiny living creatures like small larvae, shrimp, and jellyfish, but also where physics equations become extreme. While the macroscopic realm is governed by inertia and the microscopic by viscosity, the mesoscale is both and neither, requiring a

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Why Large Hadron Collider predictions can miss the mark, and a new way to fix it

Estimating things that exist is generally easy, but when it comes to estimating things that do not exist, it’s more difficult. This is something physicists from Poland and the UK are well aware of. To improve current simulations of high-energy particle collisions, they have developed a more accurate method for estimating the impact of calculations

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Polymers that crawl like worms: How materials can develop direction without being told where to go

Researchers at the University of Vienna have uncovered a surprising phenomenon: polymer chains with segments that simply fluctuate at different intensities can spontaneously develop directional, persistent motion when densely packed—even though nothing in the system points them in any particular direction. This “entropic tug of war,” driven by fundamental physical constraints, could help explain how

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Molecular 'catapult' fires electrons at the limits of physics

Electrons can be “kicked across” solar materials at almost the fastest speed nature allows, scientists have discovered, challenging long-held theories about how solar energy systems work. The finding could help researchers design more efficient ways of harvesting sunlight and converting it into electricity. The research is published in Nature Communications. Source link

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Letting atomic simulations learn from phase diagrams

A new computational method allows modern atomic models to learn from experimental thermodynamic data, according to a University of Michigan Engineering and Université Paris-Saclay study published in Nature Communications. Leveraging a machine learning technique called score matching, the method expresses the thermodynamic free energy of atomic systems as a function of the underlying atomic interaction

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Quantum dynamics show 'memory' depends on whether states or observables evolve

An international group of researchers have investigated the role of memory in quantum systems and dynamics. Their findings show that a quantum process can appear memoryless from one perspective while retaining memory from another. The discovery opens new research avenues into quantum systems and technologies. Source link

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