Multiphoton microscopy is used in biomedical research to study cells and tissues. Today, so-called two-photon microscopy is used to study processes within cells, but the technique has limitations in terms of image resolution. Four-photon microscopy provides images with higher resolution. However, such instruments are very expensive and, when studying biological material, the powerful laser light required can damage samples.
"Glass" has a unique and distinct meaning in physics—one that refers not just to the transparent material we associate with window glass. Instead, it refers to any system that looks solid but is not in true equilibrium and continues to change extremely slowly over time. Examples include window glass, plastics, metallic glasses, spin glasses (i.e., magnetic systems), and even some biological and computational systems.
A study from the Research Center for Materials Nanoarchitectonics (MANA) has uncovered a theoretical mechanism showing how the electronic band structures of strongly correlated insulators can be reshaped by spin and charge perturbations, opening up new possibilities for electronics with tunable band structures.
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.
To operate fusion systems safely and reliably, scientists need to monitor plasma fuel conditions and measure properties like temperature and density that can affect fusion reactions. Making these measurements requires specialized sensors known as diagnostics.
Physicists in China have unveiled new clues to the origins of high-temperature superconductivity in an iron-based material just a single unit-cell thick. Led by Qi-Kun Xue and Lili Wang at Tsinghua University, the team's experiments show that the effect emerges through a striking dichotomy between two atomic "sublattices" in the material—offering deeper insight into how superconductivity arises. Their results are published in Physical Review Letters.
When you reach the bottom of a container of milk or honey, you might be tempted to tip the container over to get that last pesky little bit out. After all, you only need another teaspoon for that recipe, and you're sure it's in there. From emptying jars to drying dishes, research about thin film flows in the kitchen highlights everyday connections to physics.
One of the most striking features of quantum physics is that certain properties cannot both be known or measured with arbitrary precision at the same time. Every measurement may inevitably affect the object's physical state being measured—and therefore also the outcome of any subsequent measurement. How fast something is moving, for example, can depend on whether its position was measured beforehand.
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 model, unlike standard schemes where the interaction model is fixed.
The best candidate for next-generation magnetic devices—technology that can power, store, sense or transport information—may be, counterintuitively, antiferromagnets. Today, the most widely used magnetic materials are ferromagnets, which exhibit permanent magnetization and therefore strongly attract each other. Their opposite, called antiferromagnetic materials, exhibit no net magnetization at all. Despite a net zero magnetic field, they offer appealing properties that would solve the challenges of current magnetic technologies, like stray magnetic field generation or slow operation.
Light is an unusually rich carrier of information. Its direction of travel, wavelength, and polarization can all be used to encode signals or images. Yet controlling these properties independently remains difficult, especially when light can enter a device from either side.
The NA62 Collaboration has dramatically reduced the uncertainty in its measurement of an extremely rare particle decay, in results just presented at the 2026 La Thuile conference.
Researchers at the University of Innsbruck, together with partners from Sydney and Waterloo, have presented a new diagnostic method for quantum computers. It makes errors in individual quantum bits visible during logical calculation and evaluates them. The new method was demonstrated on an ion trap quantum processor in Innsbruck. It can be used to identify critical error sources—a key to developing more robust, fault-tolerant quantum processors.
Quantum computers work by applying quantum operations, such as quantum gates, to delicate quantum states. Ideally, quantum computers can solve complex equations at staggeringly fast speeds that vastly outpace regular computers. In real hardware, the operations of quantum computers often deviate from the ideal behavior because of device imperfections and unwanted noise from the environment. To build reliable quantum machines, researchers need a way to accurately determine what a quantum device is actually doing.
Electrical engineers at Duke University have demonstrated the fastest pyroelectric photodetector to date, which works by absorbing heat generated by incoming light. Capable of capturing light from the entire electromagnetic spectrum, the ultrathin device requires no external power, operates at room temperature and can be readily integrated into on-chip applications.
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