Articles tagged with Mathematical Physics
Researchers develop new model using Mori-Zwanzig formalism to account for uneven matter distribution in the universe. The model predicts a deviation in cosmic expansion speed, offering an opportunity for experimental testing and resolving the enigma of dark energy.
A team of researchers has developed a simple and efficient method of quantum encryption using single photons, which can detect any attempt to hack the message. The breakthrough brings us closer to securing our data against quantum computers' potential attacks.
Researchers have developed a new method that uses deep neural networks to predict extreme heat waves with unprecedented accuracy, up to two weeks before they occur. This breakthrough has significant implications for risk management, planning, and warning systems, which will greatly improve public safety and support public policies.
Researchers describe a simple argument showing that basins in high-dimensional systems should look like high-dimensional octopi. The volume of these basins cannot be correctly approximated by a hypercube, which fails to encompass the vast majority of points in the basin.
The CriticalEarth project is a Marie Skłodowska-Curie Actions Innovative Training Network preparing 15 PhD students for studying critical transitions and tipping points in the Earth system. The network aims to investigate how complex mathematics can be used to predict and avoid irreversible climate change.
Researchers at Skoltech extend the adiabatic theorem to finite temperatures, ensuring more stable quantum dynamics. The findings have significant implications for next-generation quantum devices and computing.
Using observations, lab experiments, theory, and computation, researchers have developed a simple theory to explain the form and growth of apples' cusp-like features. The team found that mechanical instability and underlying fruit anatomy play joint roles in giving rise to multiple cusps in fruits.
Researchers developed a mathematical model to predict the angle of repose of sand hills, which is influenced by particle size and gravity. The model was validated using simulations and has potential applications in space exploration, additive manufacturing, and planetary science.
Scientists at Skoltech and KTH Royal Institute of Technology predict the existence of antichiral ferromagnetism, a nontrivial property of some magnetic crystals. This phenomenon could lead to unique magnetic domains and skyrmions, distinct from conventional chiral textures.
SUTD researchers created a novel modeling technique to reduce risk of permanent device damage in resistive memory devices. The new toolkit can predict current accurately, improving prediction accuracy by around ten times.
The University of Washington is leading a new NSF institute focused on using artificial intelligence to understand dynamic systems, which describe chaotic situations where conditions are constantly shifting and hard to predict. The institute aims to integrate fundamental AI theory with applications in critical technological areas.
Heavy water (D2O) is found to have a distinct sweet taste in humans, unlike ordinary water (H2O), which is mediated by the human sweet taste receptor TAS1R2/TAS1R3. The study uses molecular dynamics simulations, cell-based experiments, and mouse models to confirm this finding.
A new model explains how social climate surrounding gender roles contributes to the masculine image of physics and mathematics in Japan and England. The study found that negative views of intellectual women are correlated with a masculine image of mathematics only in Japan, while a focus on avoiding sexism affects STEM choice in England.
The Supertest study assesses the academic performance of engineering students in four countries, revealing notable differences in critical thinking skills. Russian students excel in mathematics and physics at the start of their studies, while Chinese students perform better overall. However, Chinese students' critical thinking skills d...
Researchers from University of Innsbruck introduce quantum magic squares, a non-commutative generalization of classical magic squares. Quantum magic squares cannot be easily characterized by convex combinations of quantum permutation matrices, as previously thought.
Researchers developed a new method that characterizes biological pattern-forming systems using mathematical analysis and geometry. This approach reveals the underlying physical principles governing self-organizing molecular patterns in cells.
A young star, HL Tauri, is producing planets from its concentric rings made of gas and dust. Research by Mayer Humi provides a study target for protoplanetary ring theories around stars, shedding light on the creation of solar systems.
Researchers at MIT and Caltech explored the theoretical possibilities of quantum communication in blackjack, finding a slight advantage for cooperative players. In a limited number of situations with low cards left in the deck, quantum entanglement can give players an edge over classical card-counting strategies.
A team of researchers found that using fewer coffee beans and grinding them more coarsely can produce a consistent and strong espresso. This approach could lead to economic gains for cafes and sustainability benefits for the industry.
A team of researchers from the University of Portsmouth has discovered that using fewer coffee beans ground more coarsely can lead to a stronger, more consistent espresso. This method reduces costs while maintaining quality, with potential savings estimated at over $1.1 billion annually.
A UNIGE physicist proposes altering the mathematical language of classical physics to allow for indeterminism and randomness, resolving contradictions with quantum physics. This shift would enable a more intuitive approach to understanding the world, closer to our everyday experience.
Researchers created nano-motors composed of platinum and gold to study movement against currents. The motors' tilt determined their movement, with tilted ones moving against the current by using a front-first downward tilt.
Researchers found that certain types of RNA and proteins create gelatinous droplets that don't fuse easily with other droplets, explaining why liquid organelles stay apart in cells. The study may provide insight into neurodegenerative diseases like ALS.
A new physics curriculum that teaches energy first shows promise in helping university students develop their calculus skills, particularly those with lower math abilities. Students who took the new curriculum performed better in subsequent engineering classes and on standardized physics conceptual tests.
Researchers from University of Edinburgh and Pennsylvania State University have made a groundbreaking discovery using equations developed by James Clerk Maxwell, leading to the identification of Dyakonov-Voigt waves. These newly discovered waves have unique properties and could be used in biosensors and fibre optic circuits.
Charles Kane and Eugene Mele have been recognized for their groundbreaking research on topological insulators, which exhibit unique properties making them ideal for ultra-efficient electronics. Their work may also enable super-fast quantum computing.
Bees exhibit unique behavior when exposed to external loads, such as wind and rain. By analyzing their responses, researchers have gained insight into the collective problem-solving mechanisms of living systems.
Researchers from RUDN University and University of Hamburg create a new method to simplify multi-dimensional calculations for atomic systems, applicable to hybrid atom-ionic structures. This breakthrough enables the study of new complex quantum effects and potentially helps model quantum computers.
A single-celled protozoan achieves incredible acceleration by contracting its body and utilizing supramolecular springs. The creature can shorten its body by 60% in a few milliseconds, reaching speeds of up to 200 meters per second squared.
A new algorithm developed by University of Illinois researchers enables condensed matter physicists to find interesting properties in materials. The algorithm starts with the desired type of physics and works backward to generate Hamiltonians, which can predict or explain material behaviors.
A team of mathematical physicists has developed a new theoretical calculation that predicts new possible states for quantum particles that have received a photon. These states are distinct from conventional coherent states and can be applied to various models satisfying shape-invariance conditions.
A team of scientists used ALMA to investigate the proportion of massive stars in four distant gas-rich starburst galaxies. The study found that these galaxies have a much higher proportion of massive stars than expected, with some stars having birth masses up to 300 solar masses.
The Mathematical Association of America (MAA) has awarded the Euler Book Prize to Matt Parker for his book 'Things to Make and Do in the Fourth Dimension' and the Beckenbach Book Prize to Roland van der Veen and Jan van de Craats for their book 'The Riemann Hypothesis: A Million Dollar Problem',
Researchers from IBS Center for Geometry and Physics introduce a new mathematical operation to catalog Legendrian singular knots, crucial for understanding complex 3D spaces like our universe. The study aims to explore the fascinating possibilities of 3D spaces and provide a tentative list of all possible shapes.
Researchers at Queen's University have created unique 2D sheets, called domain walls, which exist within crystalline materials and can appear, disappear or move around without permanently altering the crystal. These breakthroughs could revolutionize tiny electronic devices by enabling constant reconfiguration of electronic circuits.
Ben Tippett's research uses Einstein's theory of general relativity to propose a method for time travel. By curving space-time into a circle, he suggests that time can be bent and travelers can move backward in time. However, the use of exotic matter is still needed to make this concept a reality.
Researchers at Argonne National Laboratory developed a new way to mathematically describe non-equilibrium phase transitions in physics, shedding light on key technologies for next-generation electronics. By combining quantum mechanics and topology, they created a mathematical tool to understand out-of-equilibrium processes.
Carl M. Bender was awarded the 2017 Dannie Heineman Prize for Mathematical Physics for his development of PT symmetry theory in quantum systems. This theory has generated profound new mathematics and impacted broad areas of experimental physics, inspiring generations of mathematical physicists.
A team of mathematicians, physicists, and engineers tackled a famous 50-year-old problem tied to solitary waves. They developed a mathematical approach that produces an approximate solution to the Korteweg-de Vries equation, enabling researchers to make explicit predictions about soliton formation and properties.
A French study suggests a slight hiring bias in favor of women for science teaching positions, contradicting previous notions of bias against women. Researchers found that female applicants received higher grades than males in more male-dominated fields, with biases ranging from 3 to 10 percentile ranks.
University of Adelaide physicists discovered the timing of electronic orders on the stock market follows a Weibull distribution similar to light bulb lifetimes, showing rational behavior when intervals exceed 10 milliseconds. The finding could help predict dramatic movements and detect irregularities in market abuse.
Researchers found that galaxy clusters' surroundings are shaped by their formation history, not just their mass. The study used gravitational lensing to confirm the connection between cluster mass and dark matter environment.
Constantine M. Dafermos will receive the 2016 Norbert Wiener Prize in Applied Mathematics for his pioneering research on nonlinear conservation laws and thermomechanics. He is recognized as one of the world's top experts in the theory of conservation laws.
Researchers discovered a famous pre-Newtonian formula for pi in calculations of the energy levels of a hydrogen atom, linking pure math to quantum physics. The Wallis formula, published in 1655, was previously unknown to be connected to the hydrogen atom's energy states.
Researchers using ALMA telescope detected a burst of new stars in seven distant galaxies nine billion years ago. The galaxies' gas content was already depleted despite high rates of star formation, suggesting an increase in efficiency above the main sequence. This study pushes galaxies at z~1.6 well-above the star-forming main sequence.
Researchers are combining physics, chemistry and mathematics to unlock the secrets of caves, a field known as speleophysics. Key areas include karst landform formation, evolution and movement, which affects approximately 20% of US fresh water supply and 10% in Europe.
Researchers found that designing wings with flexibility near the front and rigidity at the back maximizes thrust and performance. This approach generates 36% more thrust than constant flexibility throughout the wing.
A new theory suggests dark matter behaves similarly to pions, which hold atomic nuclei together. This finding resolves outstanding discrepancies in predicted mass distributions within galaxies and clusters of galaxies.
Jennifer Tour Chayes of Microsoft receives the highest honor from SIAM, awarded for her groundbreaking work on phase transitions in mathematics and computing. She will deliver a prize lecture on massive networks on August 12.
Physicists at University of Tokyo unify general relativity and quantum mechanics by showing how spacetime emerges from quantum entanglement. Quantum entanglement generates extra dimensions of gravitational theory, shedding light on the microscopic structure of spacetime.
A team of mathematicians has proved the Umbral Moonshine Conjecture, offering a finite calculation for this complex pattern. The conjecture has potential applications in various areas of math and physics.
Researchers revised a mathematical description of particle interactions, considering two forces unified under extreme conditions like the Large Hadron Collider. They simplified one description of elementary particles' behavior, predicting specific events that future experiments should observe.
Researchers provide first rigorous formulation supporting Heisenberg's uncertainty principle, enabling precise characterization of information accessible in quantum experiments. The work highlights the fundamental limits of measurements in quantum physics and may corroborate the security of quantum cryptographic protocols.
Researchers have discovered a galaxy that magnified a background supernova thirtyfold through gravitational lensing, confirming their previous explanation for the anomaly. This discovery may significantly impact our understanding of cosmic expansion and the mysterious components of the Universe, including dark energy and dark matter.
Physicists from the University of Warsaw and Gdansk University of Technology discovered that polarization plays a significant role in interference between quantum particles. The research allowed for the estimation of information leakage, with potential applications in quantum cryptography.
Researchers aim to mimic reptiles' ability to increase locomotion efficiency and frogs' high propulsion. They investigate drinking strategies of carnivorous animals like cats and dogs to develop bio-inspired systems.
Researchers at Princeton University developed a mathematical framework that strips away differences between scientific laws and theories to reveal common ground. The framework, called operational dynamic modeling, allows for a smooth transition between classical and quantum mechanics.
Austrian physicist Friedrich Hasenöhrl's work on blackbody radiation in a cavity may have influenced Einstein's famous equation E=mc2. However, the study also reveals that Hasenöhrl arrived at an incorrect energy/mass correlation due to failing to account for mass loss during radiation.
Researchers found that different particles create smooth or rough deposition profiles at the drop edge depending on their shape. They tested Poisson and KPZ processes, two classes of interfacial growth processes, and discovered elongated particles produced a KPZ class of growth.
Scientists have found a model that describes the evolution of cauliflower-type fractal morphologies for nanoscopic systems, offering insights into natural structures like sea coasts and blood vessels. This breakthrough may help improve technologies used in thin film coatings and generate textures in computer simulations.