Articles tagged with Chaotic Systems
Researchers identified small clusters of interacting components that act as amplifiers, triggering outsized reactions in complex systems. These clusters can control how strongly a system reacts after a disruption, and their presence can determine the stability of entire systems.
Researchers at FAU have developed a smarter AI framework that can manage complex systems with unequal levels of authority and adapt to imperfect information. The framework, based on reinforcement learning and game theory, reduces unnecessary computation while maintaining system stability and optimal strategy outcomes.
Physicists Björn Birnir and Luiza Angheluta develop a new mathematical model to characterize Lagrangian turbulence, which captures its complex phenomena. The study reveals the presence of a Lagrangian scaling regime and connects three scaling regimes as the turbulent flow evolves.
Researchers at Nagoya University discovered that combining two tiny vibrating elements can amplify their signal up to 100 million times, enabling the transmission of clear signals over long distances. This finding could innovate long-distance communications and remote medical devices without requiring high energy consumption.
Researchers developed a new method to investigate karst features in urban areas using ambient noise tomography. The technique improved the resolution of seismic imaging and provided high-resolution images of subsurface structures, contributing to better geological hazard prevention and control.
Researchers developed an IEAC framework combining robust security with high-capacity transmission performance, achieving a record 1 Tb/s secure transmission over 1,200 km of optical fibre. The system eliminates the trade-off between security and speed by integrating encryption into the communication process.
A team of researchers from Télécom Paris and Politecnico di Milano has developed a system of optical micro-antennas integrated into a programmable photonic chip, which can adapt in real time to restore chaotic signals. This innovation paves the way for chaos-based encryption for secure high-speed communication in hostile environments.
Researchers discovered how bacterial swarms transition from organized movement to chaotic flow as confinement radius increases. The study reveals intermediate states between order and turbulence through large-scale experiments, computer modeling, and mathematical analysis. These findings provide insights into the universal properties o...
Research advances higher-order networks to capture multi-agent interactions, enabling accurate modeling of biological, social, and physical systems. The Dirac-Bianconi operator provides a powerful generalization of the graph Laplacian, encoding local and global interactions across different topological dimensions.
A new study explores how chemical mixtures transform under shifting environmental conditions, shedding light on prebiotic processes that may have led to life. The research finds that environmental factors played a key role in shaping the molecular complexity needed for life to emerge.
Researchers introduce 'fitness centrality,' a faster method to identify crucial elements in any network, with practical applications in supply chains, ecological conservation, and cybersecurity. The approach streamlines analysis, making it practical for vast networks.
A team from Osaka Metropolitan University has developed a crystal patterning method that controls the position and orientation of photochromic crystals, known as diarylethenes. This breakthrough allows for the creation of convex structures with precise control over crystal shape and size.
Researchers introduced a novel approach to enhance reservoir computing, incorporating a generalized readout that offers improved accuracy and robustness compared to conventional methods. The new method uses a nonlinear combination of reservoir variables to uncover deeper patterns in input data.
Astronomers have discovered patterns of regularity within the chaotic three-body problem, which is a fundamental challenge in physics. The researcher's findings suggest that certain configurations of three massive objects can lead to predictable outcomes, offering new insights into astrophysics and the behavior of black holes.
A new study published in Scientific Reports reveals the importance of foot movement in early infant development and interaction. By using machine and deep learning techniques, researchers found that AI can accurately classify five-second clips of 3D infant movements, with foot movements showing the highest accuracy rates.
A research team led by Professor Monika Aidelsburger and Professor Immanuel Bloch found indications that chaotic many-body systems in the quantum realm can be described using fluctuating hydrodynamics. This approach simplifies the macroscopic description of such systems, obviating the need to engage with microscopic interactions.
A new study by the University of Maryland reveals that NASA's DART spacecraft collision with asteroid moon Dimorphos created a large crater and reshaped it, causing the moon to derail from its original evolutionary progression. The impact also changed Dimorphos' orbit around its parent asteroid Didymos.
Researchers developed a quantum annealing approach to accelerate data assimilation, significantly reducing computational cost. The method achieves comparable accuracy to conventional approaches but in a fraction of the time.
A UC Riverside study shows that extreme heat in Earth's past caused a decline in the exchange of waters from the surface to the deep ocean, which redistributes heat around the globe. This system has been crucial for regulating Earth's climate and removing anthropogenic carbon dioxide from the atmosphere.
Researchers created a digital twin model that predicts and controls complex systems, achieving higher accuracy than traditional methods. The algorithm is compact, energy-efficient, and easy to implement, making it suitable for self-driving vehicles and other dynamic systems.
Researchers from the University of Amsterdam have introduced a billiards game with memory, where the ball may never cross its own previous path. This leads to a trapping effect, making the system chaotic and fascinating, with many open mathematical questions and potential applications in physics and biophysics.
Researchers at Rice University and the University of Illinois Urbana-Champaign have found that chemical reactions can scramble quantum information, similar to black holes. This discovery could lead to new methods for controlling molecular behavior and improving the reliability of quantum computers.
Researchers have developed a new method to verify the accuracy of complex quantum systems using classical computers. The method allows for estimating error rates and is mathematically sound, providing a benchmark for analyzing errors in quantum computing systems. This breakthrough enables improvements to be measured effectively.
Researchers at TU Dortmund University have developed a highly durable time crystal that outlasts previous experiments by tens of thousands of times. The team discovered a way to stabilize the crystal using nuclear spins, enabling it to maintain its periodic behavior for up to 40 minutes.
A team of researchers led by Keith Hengen proposes a theory that explains both the meaning of sleep and the complexity of the brain. By tracking brain activity in sleeping rats, they found that sleep restores criticality, a state that maximizes thinking and processing.
New studies show that giant gas planets in nearby star systems can prevent life on smaller, rocky planet neighbors by kicking them out of orbit and wreaking havoc on their climates. Researchers found that four giant planets in the HD 141399 system are likely to destroy the chances for life on Earth-like planets.
Researchers at UBC Okanagan have developed a gaming strategy to strengthen vital infrastructure against malevolent attacks, aiming to ensure safety, health, and lives during emergencies. By identifying critical roads and intersections, they can reinforce them to minimize disruption.
A new method called TWC-Swin effectively restores holographic images even under low spatial coherence and arbitrary turbulence, surpassing traditional convolutional network-based methods. The study demonstrates strong generalization capabilities, extending its application to unseen scenes.
A new study suggests that synchronizing internal clocks can help alleviate jet lag and age-related problems. Researchers found that eating a larger meal in the morning can help overcome jet lag, while constant nighttime eating can lead to misalignment between internal clocks.
A new study by North Carolina State University found that artificial intelligence performs better when it chooses diversity over lack of diversity. The AI was able to increase its accuracy up to 10 times more than conventional AI in solving complicated problems.
Human cells have been found to synchronize their movements in unison, similar to grandfather clocks, allowing them to work more efficiently and combat diseases. This new understanding can pave the way for developing biochemical tools to prevent serious diseases like cancer and diabetes.
Researchers led by Kash Barker examine indirect attacks targeting infrastructure systems via unwitting users, with a focus on social media platforms and critical infrastructure. The study aims to develop strategies for integrating research into education and outreach programs.
A team of researchers from EPFL has found a way to harness the unique features of chaotic frequency combs to implement unambiguous and interference-immune massively parallel laser ranging. This innovative approach offers significant advantages over conventional methods, enabling hundreds of multicolor independent optical carriers.
The study reveals that quantum thermal machines exhibit distinct synchronization behavior, with cooperation and competition emerging among different components. The researchers found that cooperation manifests in harmony-like synchrony, while competition thrives in chaotic conditions.
A team of researchers discovered a new phenomenon, 'cavity-momentum locking', which allows precise control over quantum scar states in photonic crystals. This breakthrough has significant implications for quantum information, communication, and optoelectronic devices.
Researchers have made a significant breakthrough in wave chaos research, unveiling a new platform for studying dynamical localization transitions in periodic cavity arrays. The study explores the wave chaos of deformed optical microcavities coupled to crystalline momentum, revealing potential implications for quantum information and co...
A new mathematical theory developed by Peter Wolynes and David Logan predicts the nature of motions in a chlorophyll molecule when it absorbs energy from sunlight. The findings suggest that there are exceptions where simple motions persist for long times, influencing processes like photosynthesis.
Researchers at TU Wien have detected clear indications of chaos in chemical reactions on nanometer-scale rhodium crystals, a phenomenon previously unseen in atomic scale systems. The coupling behavior can be controlled by changing the hydrogen concentration, leading to a transition from ordered to chaotic behavior.
A new mathematical theory developed by scientists at Rice University and Oxford University can predict the nature of motions in complex quantum systems. The theory applies to any sufficiently complex quantum system and may give insights into building better quantum computers, designing solar cells, or improving battery performance.
Engineers at Tokyo Institute of Technology have developed a technique to support the classification performance of neural networks operating on sensor time series by feeding recorded signals into elementary non-linear dynamical systems. This approach increases the classification performance by augmenting the data through additional tim...
Researchers from the University of Calabria used 3D printing to turn chaotic structures into unique jewelry, exploring the beauty of complex systems. The project combines art and science, allowing students to develop their knowledge and creativity by building and designing their own Chua circuit-inspired jewelry.
Physicists at MIT and Caltech developed a new benchmarking protocol to characterize the fidelity of quantum analog simulators, enabling high precision characterization. The protocol analyzes random fluctuations in atomic-scale systems, revealing universal patterns that can be used to gauge the accuracy of these devices.
Computer simulations demonstrate that chaos plays a crucial role in the emergence of thermodynamic behavior from quantum theory. A quantum system with indistinguishable particles and a thermometer-like particle shows a temperature distribution consistent with Boltzmann's rules only when the system exhibits chaos.
Researchers at Google Quantum AI used a quantum processor to create bound states of interacting photons, which survived in a chaotic regime. The discovery challenges previous assumptions and has implications for many-body quantum dynamics and fundamental physics discoveries.
The study demonstrates that chaos synchronization can occur even under constraints of narrow frequency intervals, giving rise to phenomena that could be leveraged for useful operations in ensembles of distant nodes. This breakthrough has potential applications in distributed sensing, such as gathering readings from distant sensors.
A recent study by Tokyo University of Science researchers provides theoretical foundations for effective parameter tuning in the Bernoulli shift map. They used modular arithmetic to determine optimal parameter values for preserving chaos, with implications for other chaotic maps like the tent and logistic maps.
Researchers at Ohio State University have developed a new machine learning method called next-generation reservoir computing that can learn spatiotemporal chaotic systems in a fraction of the time. The algorithm is more accurate and uses less training data, making it easier to predict complex physical processes like Earth's weather.
Long-term monitoring data reveals previously undetected diurnal patterns in narwhal behavior, including changes in surface activity and diving patterns influenced by sea ice and squid migration. The study's method can be applied to assess the challenges faced by narwhals and other Arctic animals due to climate change.
Researchers from Tokyo University of Science found that short PPG signals can be used to estimate dynamical properties like determinism, predictability, and complexity with good accuracy. However, shorter signals may not be sufficient for estimating divergence.
Scientists analyzed over 30% of populations in an ecological database and found evidence of chaotic dynamics, contradicting previous findings. The research suggests that intrinsic limits exist to ecological forecasting and caution against equilibrium-based approaches for conservation and management, particularly for short-lived species.
A SwRI study examines elliptical craters on Saturn's moons Tethys and Dione, finding unique patterns that indicate the satellites' age and formation conditions. The research suggests a planetocentric impactor population, pointing to the importance of considering gravity-driven impacts when studying object ages.
Researchers proposed and experimentally demonstrated an all-optical random bit generation method using chaotic pulses quantized in the optical domain. This method generated a 10 Gb/s random bit stream, potentially operable at higher rates by exploiting ultrafast fiber response.
Physicists discovered that chaotic systems can synchronize due to the emergence of stable fractal structures. As systems are coupled, these fractals assimilate, causing synchronization. Strong coupling leads to complete synchronization through the 'Zipper Effect', where dominant fractals become identical.
Researchers developed a novel framework to characterize weakly chaotic dynamics in complex systems with many constituent parts. By investigating Lyapunov spectrum scaling, they identified emerging quasi-conserved quantities that shed light on quantum computation and physical models.
Researchers have used computer simulations to show that small adjustments to certain variables can modify weather systems, mimicking the 'butterfly attractor' phenomenon in chaos theory. This approach could lead to weather control technology and prevent extreme windstorms.
Researchers have replicated and expanded on previous work to show that tics associated with Tourette syndrome have a fractal pattern, which can predict disease severity. This discovery could lead to a diagnostic tool for doctors to analyze tic patterns and diagnose patients with Tourette's
Researchers from HSE University's Laboratory of Complex Systems Modeling and Control proposed a new mechanism explaining power-law patterns in real-world systems. The discovery may improve understanding of processes leading to strong earthquakes, forest fires, financial market crashes, and social network synchronization.
Researchers have developed a way to precisely control defects within active liquid crystals by changing the gradient of activity around them. This can be achieved through pulses of light or chemical composition changes, enabling controlled movement and behavior of these materials.
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.
Researchers use an ultrafast camera to observe the movement of laser light in a chaotic chamber, capturing the entirety of its path for the first time. This breakthrough could breathe new life into the study of optical chaos, with applications in physics, communications, and cryptography.