Based on the paper Quantum phase detection generalization from marginal quantum neural network models, explore the phase diagram of the Axial Next-Nearest-Neighbor Ising (ANNNI) model using both supervised and unsupervised learning methods.
Get the latest international news and world events from around the world.
Breathing in the past: How museums can use biomolecular archaeology to bring ancient scents to life
Recent advances in biomolecular archaeology have revealed that ancient objects can retain the molecular fingerprints of past aromatic practices. These molecules provide unprecedented insight into ancient perfumery, medicine, ritual, and daily life.
In a publication in Frontiers in Environmental Archaeology, an interdisciplinary research team led by archaeo-chemist Barbara Huber (Max Planck Institute of Geoanthropology and the University of Tübingen), shows how museums can use this molecular evidence to engage audiences with the sensory worlds of the past. The team combined their expertise to create a new workflow for converting biomolecular data into accessible, visitor-ready olfactory recreations.
“This research represents a significant shift in how scientific results can be shared beyond academic publications,” explains Huber.
Kevin Perrott on his long longevity journey
Kevin Perrott founded OpenCures, has been an adjunct professor at the University of Alberta, co-founded Oisin Biotechnologies, and ran a gym.
Magnetism brings structure to a long-mysterious electronic state
Physicists have uncovered surprising order inside one of the most puzzling states in modern materials science. It is a strange middle ground where electrons begin to behave differently, but full superconductivity has not yet taken hold.
Instead of falling into disorder, the system retains coordinated patterns right at the point where normal electrical behavior starts to break down. The finding suggests this transition is guided by an underlying structure, not randomness.
Real-time imaging captures contact between cells and between a single neuron’s extensions
Living organisms are made up of hundreds of thousands of cells that cooperate to create the organs and systems that breathe, eat, move, and think. Now, researchers from Japan have developed a new way to track how and when cells touch each other to work together in these ways. In a study published in January in Cell Reports Methods, researchers from The University of Osaka reported the development of fluorescent markers for monitoring cell communication under a microscope.
Cells communicate with each other by making cell-to-cell contacts, and fluorescent markers are often used to visualize these contacts. The most commonly used marker for this purpose is green fluorescent protein (GFP). GFP can be divided into two halves that are expressed on different cells. When the cells touch, the two halves come together to form a complete GFP, letting off a fluorescent signal.
“Split GFP is useful for detecting the formation of stable connections between cells,” says lead author of the study Takashi Kanadome. “But because it takes time for the rejoined GFP to emit its signal and the association is irreversible, this approach cannot be used to detect dynamic cell–cell interactions in real-time.”
Simulations and supercomputing calculate one million orbits in cislunar space
Satellites and spacecraft in the vast region between the earth and moon and just beyond — called cislunar space — are crucial for space exploration, scientific advancement and national security. But figuring out where exactly to put them into a stable orbit can be a huge, computationally expensive challenge.
In an open-access database and with publicly available code, researchers at Lawrence Livermore National Laboratory (LLNL) have simulated and published one million orbits in cislunar space. The effort, enabled by supercomputing resources at the Laboratory, provides valuable data that can be used to plan missions, predict how small perturbations might change orbits and monitor space traffic.
To begin, the Space Situational Awareness Python package takes in a range of initial conditions for an orbit, like how elliptical and tilted the orbit is and how far it gets from the earth.