Articles tagged with Statistical Physics
A new paper proposes a way to calculate the thermodynamic costs of metabolic processes, ranking them according to their biological efficiency. The method estimates the improbability of a network behaving in a certain way, considering maintenance and restriction costs.
A new computational framework has been developed to optimize cellular self-organization, allowing scientists to understand and control how cells grow and interact. The framework uses machine learning tools to extract rules that guide cell behavior, enabling the creation of artificial organs and potential treatments for cancer.
Researchers uncover the origin of mixed-order transitions, where a macroscopic change is triggered by microscopic cascades. The study reveals long-term fluctuations can lead to sudden transformations in systems like water freezing or societal conflicts.
A study by Durham University has shown that E-coli bacteria produce an enzyme breaking down nutrients from dead cells, offering a banquet for neighboring cells. This process demonstrates that death is not the end of programmed biological processes, which can evolve to function after death.
A team of researchers from Mainz University successfully simulated skyrmion dynamics on real-time experimental scales using a novel collaborative approach. By combining theoretical and experimental methods, the researchers were able to accelerate the development of skyrmion-based applications for energy-saving computer architectures.
Rice scientists Kaden Hazzard and Zhiyuan Wang mathematically demonstrate the potential existence of paraparticles that have long been thought impossible. Their study shows that these particles can exhibit strange behavior when exchanging positions with other particles.
Researchers create a complex model of nematode worm behavior, accurately mimicking its movements and offering insights into animal behavior. The findings have significant implications for medical research, particularly in the study of movement disorders like Parkinson's disease, and could also improve robotics.
Researchers developed a novel ratchet mechanism that converts random motion into ordered movement using asymmetric surface wettability. The gear demonstrated one-way spin with vertical oscillations at restricted frequency and amplitude ranges.
A new study by an international team, including MIT and CNRS, observed that similarities exist between the behavior of birds in flight and physical systems. The research suggests that the transition from disorder to coordination is not as different between particles and biological elements as previously thought.
Researchers used statistical physics and network science to analyze European electricity price data, revealing that factors beyond Russian gas were at play during the 2021-2022 energy crisis. The study found strong correlations between certain countries' markets and unexpected impacts on electricity prices.
Researchers discovered that brain's structural features are consistent with a phase transition in humans, mice and fruit flies, suggesting a universal governing principle. The findings could enable new designs for computational models of the brain's complexity.
Researchers at Northwestern University used statistical physics to corroborate Austrian psychologist Fritz Heider's 1940s social balance theory, which states that enemies of an enemy are friends. The study successfully integrated both constraints of the theory, confirming it for the first time in real-life social networks.
Researchers have introduced an optimization technique that accelerates Bayesian inference without requiring extensive user effort. This new automated method achieves more accurate results faster than another popular approach and offers reliable uncertainty estimates to help scientists understand when to trust their predictions.
A new study by the Hebrew University introduces a flux-based statistical theory that predicts chaotic outcomes in non-hierarchical three-body systems. The theory offers a more efficient approach to analyzing complex systems, enabling deeper exploration and understanding of chaotic phenomena.
Researchers create a mathematical model that explains how pit vipers amplify small signals and transmit them to their brain with high fidelity. The study reveals that the snakes' sensory organ can detect milli-Kelvin changes in temperature, requiring it to be 1,000 times more sensitive than its underlying molecular sensors.
A GEOMAR study found that low North Atlantic sea surface temperatures are responsible for heat events on land. The researchers discovered a link between cold ocean temperatures and European heat waves, which contributes to the formation of high pressure systems and clear skies.
Researchers from the University of Oldenburg developed a new stochastic method to mitigate sudden swings in wind turbine power output. The study found that control systems are mainly responsible for short-term fluctuations and can be optimized to ensure more consistent energy output.
Göttingen University researchers develop mathematical model that shows small imbalances in mixture composition can amplify and control phase separation. This discovery offers a potential mechanism for regulating structure formation in living cells, with applications in fields such as market economies and ecological networks.
Scientists discovered that climate shifts during the last 400,000 years influenced the frequency of Neanderthal-Denisovan interbreeding. The researchers found that temperature changes triggered habitat overlaps, leading to increased contact between the two species.
Researchers at the Complexity Science Hub developed a mathematical method to analyze armed conflict data, identifying causal links between battles and predicting future conflicts. The approach, inspired by physics and biophysics, reveals how violence spreads like avalanches across Africa and can be applied to other armed conflicts.
Researchers from the University of Copenhagen predict the Atlantic Meridional Overturning Circulation (AMOC) will collapse between 2025 and 2095, with major consequences for Earth's climate. The study contradicts the latest IPCC report and highlights the importance of reducing global greenhouse gas emissions.
A recent study reveals a massive section of the Andes experiencing significant greening, defying climate zone expectations. The researchers found that this area, stretching from northern Peru to northern Chile, has seen its vegetation growing significantly over the past 20 years.
Researchers from West Virginia University have made a groundbreaking discovery by detecting evidence of low-frequency gravitational waves, which can only be perceived with a detector much larger than the Earth. The signal was detected using pulsar timing arrays and has significant implications for understanding spacetime dynamics.
A team of researchers at Johannes Gutenberg University Mainz studied the collective behavior of small robots and found that they can solve tasks that a single machine cannot. The study uses statistical physics to analyze how the robots interact and move, revealing potential applications in medical and pharmaceutical applications.
An international research team has confirmed for the first time that mutual information in a many-body quantum system scales with surface area rather than volume. The experiment used ultracold atoms and a special tomography technique to measure the shared information.
A team of experts identified 29 sources of bias in AI/ML models for medical imaging, including data collection, preparation, and deployment. The study provides a comprehensive roadmap for mitigating these biases and ensuring fairness, equity, and trust in AI/ML models.
Researchers from University of Warsaw and Utrecht University observed the Brazil nut effect in a mixture of charged colloidal particles without external energy. The phenomenon involves heavier particles rising to the top due to repulsion forces, with potential applications in geology, soft matter physics, and industry.
Researchers developed a mathematical model of bacterial movement that includes cell division and death. The model predicts bacteria can form colonies through travelling waves of concentrated 'packages' of bacteria.
Researchers at Johannes Gutenberg University Mainz developed a prototype that combines Brownian and reservoir computing to perform Boolean logic operations. This innovation uses metallic thin films exhibiting magnetic skyrmions to achieve energy savings through automatic system reset.
An international team of researchers has successfully characterized the earliest galaxies in the Universe, which formed only 200 million years after the Big Bang. The study found that these early galaxies were relatively small and dim, processing less than 5% of their gas into stars.
A team of researchers from Korea investigated the dynamics of the p-Laplacian AC equation, finding that solutions maintain three criteria: phase separation, boundedness, and energy decay properties. They also identified an advantage of p-AC equation over classical Laplacian in adjusting interface sharpness.
Researchers at the University of Oldenburg have developed a new statistical model that accurately describes wind turbulence and generates fully three-dimensional wind fields using limited measurement points. This breakthrough enables precise wind turbine load estimation and improves wind farm planning, with applications in various fiel...
The study reveals that the distribution of local interface displacements exhibits non-zero skewness due to pinned segments lagging behind the rest. The researchers also found that scaling properties of interface segments depend on whether they are lagging or moving ahead of the average displacement.
Researchers investigated how paper wasps adapt their behavior when the queen is removed or dies, finding that they counterbalance genes that establish queen-like behavior with aggressive fighting. This enables societies to distinguish between intrinsic and extrinsic perturbations, allowing for plasticity in response to changes.
Scientists at The University of Tokyo's Institute of Industrial Science have developed a novel theory for describing nonlinear dissipative phenomena in a dual geometric space. This work enables the extension of thermodynamics to complex chemical reaction networks, including those involved in living organisms' metabolism and growth.
A research team from the Complexity Science Hub Vienna has developed a stress test to identify weaknesses and strengths in healthcare systems. They used data from Austria to show how many resident physicians can drop out before patients don't find a new doctor within reasonable distance, highlighting regional differences in resilience.
Researchers from Johannes Gutenberg University Mainz used AlphaFold to predict the structures of new protein knots, discovering the most complex knot and composite knots. These findings provide insight into folding mechanisms and evolutionary processes in proteins.
Researchers in statistical physics analyzed data on violent events in Ukraine and found that conflicts do not exist as a clear west versus east divide. Instead, they form a complex network of interactions without geographical boundaries.
The study found that advances in iron metallurgy, horse riding, and agricultural productivity played a significant role in the development of military machines. Mega-empires emerged as societies supporting tens of millions of inhabitants and covering vast territories.
Researchers at Washington University in St. Louis have discovered that bacteria can adapt to changing environments by learning statistical regularities, enabling them to predict the future faster than traditional evolutionary methods. The study reveals a simple regulatory architecture that allows bacteria to process information and mak...
A new study analyzed Italian firms' Twitter conversations during the pandemic, revealing a focus on environmental sustainability and digital transformation. The research highlights the importance of corporate social responsibility and stakeholder engagement on these themes.
Researchers apply statistical physics principles to analyze financial systems as complex networks, shedding light on early warning signals of crises and interbank linkages. Network theory reveals the impact of heterogeneity on risk propagation and systemic instability.
The Fannie and John Hertz Foundation has announced 48 finalists for the 2021 Hertz Fellowship, representing 17 universities. The selected candidates will advance to a culminating round of interviews for one of the most competitive fellowships in the nation.
Researchers developed a new method to predict epidemic development, which considers both best and worst-case scenarios. This approach provides a more realistic estimate of the epidemic's severity, helping policymakers make informed decisions.
Physicist David Wolpert developed a hybrid formalism to analyze far-from-equilibrium systems with explicitly distinguished subsystems. The formalism combines advances in nonequilibrium statistical physics and graphical models, allowing for the study of nanoscale systems like biological cells.
Carnegie Mellon University has received a $500,000 planning grant to develop AI research and interdisciplinary collaborations in astrophysics, subatomic physics, and biophysics. The university aims to promote cross-disciplinary interactions and encourage new collaborations to advance fundamental fields.
A machine learning model has uncovered distinct statistical features marking the formative stage of slow-slip ruptures, allowing geophysicists to understand the timing of devastating faster quakes. The research suggests that slow-slip rupture may be predictable, providing an easier way to study fundamental physics.
Scientists propose a concept of temporal metamaterials that change permittivity tensor in time, demonstrating forward and backward waves with preserved wave vector and frequency changes. This enables real-time beam steering of electromagnetic energy, opening new possibilities for integrated photonic systems.
Researchers at MSU are working on a $3.7M project to create more accurate models of scientific phenomena using Bayesian statistics and machine learning. The team aims to improve the characterization and reduction of uncertainties in nuclear processes, making it easier for scientists to design experiments and allocate resources.
A study by University of Pennsylvania researchers found that different types of networks share a similar underlying structure that allows them to convey large amounts of information efficiently. The balance between community and heterogeneous structures is key to creating information-rich but easy-to-interpret networks.
A statistical physics model demonstrates how environmental noise affects evolutionary cooperation between cellular components, leading to low dimensionality and robustness. The study suggests that a moderate level of noise enables the evolution of complex systems.
Researchers at the University of Bristol have solved a 100-year-old physics problem, enabling accurate predictions of infectious disease transmission. The discovery uses special mathematical functions and a technique called method of images to calculate encounter and transmission probabilities.
Researchers are developing the BAND framework to provide a publicly available set of computational tools for physicists, improving uncertainty quantification and predictive modeling in nuclear physics. The five-year grant will support regular software releases and workshops to train other scientists on using the tools.
Researchers studied how infants learn language through vocal interactions with caregivers, identifying key features of effective communication structures. They also analyzed the spread of information on social media and in offline networks, highlighting the importance of accounting for neighbors' biases and geographic segregation.
Researchers have identified a repeating Fast Radio Burst source in a nearby spiral galaxy, which is radically different from previous studies. The discovery challenges assumptions about the origin of these mysterious radio pulses and may indicate that FRBs are produced in a large zoo of locations across the Universe.
A team of researchers, led by Hagit Shatkay, is developing computational methods to accelerate discovery in astroparticle physics, a crucial step towards understanding dark matter. By analyzing noisy sensor data from an underground experiment, the team aims to detect and identify dark-matter particles.
Researchers developed a new method to predict vent location forecasts by combining physics and statistics, successfully testing it on the Campi Flegrei caldera in Italy. The approach improves accuracy for predicting future eruptions and expanding ash plumes, providing valuable insights for land usage planning in volcanic areas.
Scientists found that amorphous systems converge to hyperuniformity, a hidden order on large scales, as they optimize individual cells' geometrical properties. This discovery has implications for the development of novel materials, including photonic metamaterials and block copolymers.
A Columbia-led team has been awarded $16.75 million from the BRAIN Initiative to study the primary visual cortex, a region crucial for making sense of visual information. The five-year project aims to bridge the gap in knowledge between theoretical and experimental neuroscience.
A physics model applied to a 'Super Court' of Supreme Justices found that consensus dominates the court's decisions, with strong correlations in voting persisting beyond individual justices' tenures. The study reveals that partisan issues are more complex than simple intuition suggests, and votes against prevailing opinions are probable.