Articles by Ingrid Fadelli
Phys.org / LHCb collaboration observes ultra-rare baryon decay
Baryons, composite particles made up of three quarks bound together via the so-called strong force, make up the most visible matter and have thus been the focus of numerous physics studies. Studying the rare processes via ...
Tech Xplore / Knitted textile metasurfaces allow soft robots to morph and camouflage on demand
Nature, particularly humans and other animals, has always been among the primary sources of inspiration for roboticists. In fact, most existing robots physically resemble specific animals and/or are engineered to tackle tasks ...
Tech Xplore / Wheel-legged robotic system moves more efficiently in a wide range of environments
Most existing robots designed to move on the ground rely on either wheels or legs, as opposed to a combination of the two. Yet robots that can seamlessly switch between wheeled and legged locomotion could be highly advantageous, ...
Phys.org / Predicting the topological properties of quantum spin liquids using Rydberg atom lattices
Topological quantum systems are physical systems exhibiting properties that depend on the overall connectivity of their underlying lattice, as opposed to local interactions and their microscopic structure. Predicting the ...
Phys.org / Topological spin textures: Scientists use micro-structured materials to control light propagation
Topological spin textures, spatially organized patterns linked to the intrinsic angular momentum of particles, have proved to be highly advantageous for the development of spintronics and quantum technologies. One of the ...
Tech Xplore / Nanoengineered electrode material boosts cycling and efficiency in Li-metal batteries
Lithium metal (Li-metal) batteries are among the most promising alternatives to widely employed rechargeable lithium-ion (Li-ion) batteries, as they could store more energy and thus extend the battery life of many electronic ...
Phys.org / Using Grover's algorithm to efficiently prepare collective quantum states in optical cavities
The reliable engineering of quantum states, particularly those involving several particles, is central to the development of various quantum technologies, including quantum computers, sensors and communication systems. These ...
Tech Xplore / BEAST-GB model combines machine learning and behavioral science to predict people's decisions
A key objective of behavioral science research is to better understand how people make decisions in situations where outcomes are unknown or uncertain, which entail a certain degree of risk.
Phys.org / The first experimental realization of quantum optical skyrmions in a semiconductor QED system
Skyrmions are localized, particle-like excitations in materials that retain their structure due to topological constraints (i.e., restrictions arising from properties that remain unchanged under smooth deformations). These ...
Tech Xplore / Robots learn human-like movement adjustments to prevent object slipping
To effectively tackle a variety of real-world tasks, robots should be able to reliably grasp objects of different shapes, textures and sizes, without dropping them in undesired locations. Conventional approaches to enhancing ...
Phys.org / New 3D topological phase of matter exhibits anomalous symmetry at non-zero temperatures
Some phases of matter cannot be described using the conventional framework of symmetry breaking and exhibit a so-called quantum order. One type of quantum order, known as topological order, is characterized by long-range ...
Phys.org / Wave-like domain walls drive polarization switching in sliding ferroelectrics, study finds
Sliding ferroelectrics are a type of two-dimensional (2D) material realized by stacking nonpolar monolayers (atom-thick layers that lack an electric dipole). When these individual layers are stacked, they produce ferroelectric ...
Medical Xpress / Probe reliably records activity of large neuron populations in brains of non-human primates
To map the mammalian brain and its various functions with increasing precision, neuroscientists rely on high-resolution imaging techniques and other advanced experimental tools. These now include high-density silicon probes, ...
Phys.org / Using geometry and physics to explain feature learning in deep neural networks
Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate predictions by analyzing large ...
Medical Xpress / More than a simple relay station: Thalamus may guide timing of brain development and plasticity
The brain is known to develop gradually throughout the human lifespan, following a hierarchical pattern. First, it adapts to support basic functions, such as movement and sensory perception, then it moves onto more advanced ...
