Articles by Tejasri Gururaj
Phys.org / Physicists demonstrate Hong–Ou–Mandel interference with more than 10 atoms
In a new study published in Nature Physics, researchers have demonstrated the Hong–Ou–Mandel (HOM) effect with up to 12 indistinguishable neutral atoms—an effect that has been predominantly observed in photonic systems.
Phys.org / Scientists find molecular-level evidence for two structures in liquid water
A study published in Nature Physics provides new molecular-level evidence from simulations that liquid water is not a single uniform substance, but a constantly shifting mixture of two distinct microscopic structures.
Phys.org / Warming unlocks ancient carbon in Tibetan permafrost, triggering climate tipping point
A new study in Nature Communications finds a critical climate tipping point in Tibetan permafrost ecosystems. Warming of 2–4 degrees Celsius triggers a self-reinforcing cycle of carbon release that could significantly accelerate ...
Phys.org / IceCube detects break in cosmic neutrino spectrum, ruling out simple power-law model
A new study published in Physical Review Letters by the IceCube Collaboration reports evidence that the energy spectrum of astrophysical neutrinos is not a simple straight line.
Phys.org / Hydrogen puts quantum wormhole conjecture to the test
A new Physical Review Letters study places constraints on the ER = EPR conjecture, showing that under the authors' assumptions, the conjecture would imply possible alterations to the hyperfine structure and effective charge ...
Phys.org / Universal quantum protocol extracts maximum work without knowing a system's state in advance
A new study published in Nature Communications has shown that in the asymptotic limit, extracting the maximum possible work from many copies of a quantum system does not require knowing exactly what state that system is in.
Tech Xplore / New memristor design uses built-in oxygen gradient to bring stability to reinforcement learning
In a recent study published in Nature Communications, researchers created a memristor that uses a built-in oxygen gradient to produce slow, stable conductance changes, enabling a reinforcement learning (RL) algorithm to learn ...
Phys.org / Human brain operates near, but not at, the critical point
A recent study published in Physical Review Letters reveals that many widely used signatures of criticality in brain data may be statistical artifacts. They propose a more robust framework that, when applied to whole-brain ...
Phys.org / Gravitational waves reveal hidden structure of galactic centers
A new study published in Nature Astronomy indicates that the dense, star- and dark-matter–rich environments around supermassive black hole binaries pack on the order of a million solar masses into each cubic parsec. The team ...
Phys.org / Machine learning reveals hidden landscape of robust information storage
In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of two-dimensional memories, systems that can reliably store information despite constant environmental ...
Phys.org / Extreme plasma acceleration in monster shocks offers new explanation for fast radio bursts
In a new study published in Physical Review Letters, scientists have performed the first global simulations of monster shocks—some of the strongest shocks in the universe—revealing how these extreme events in magnetar magnetospheres ...
Phys.org / Bionic LiDAR system achieves beyond-retinal resolution through adaptive focusing
In a recent study, researchers from China have developed a chip-scale LiDAR system that mimics the human eye's foveation by dynamically concentrating high-resolution sensing on regions of interest (ROIs) while maintaining ...
Tech Xplore / New memristor training method slashes AI energy use by six orders of magnitude
In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method that aligns memristor hardware's noisy updates with neural network training, slashing energy use by ...
Phys.org / Long-hypothesized dynamic transition seen in deeply supercooled water for the first time
In a new study published in Nature Physics, researchers have achieved the first experimental observation of a fragile-to-strong transition in deeply supercooled water, resolving a scientific puzzle that has persisted for ...
Tech Xplore / Tumbleweed aerodynamics inspire hybrid robots for harsh terrains
A new study published in Nature Communications details a hybrid robot that combines the wind-driven mobility of tumbleweeds with active quadcopter control, offering a new paradigm for energy-efficient terrestrial exploration.
