Articles tagged with Chaotic Systems
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.
Researchers from North Carolina State University discovered that incorporating Hamiltonian function into neural networks enables them to better predict and respond to chaos. This innovation has significant implications for improved artificial intelligence applications.
Researchers created a 3D nematic system using bacteriophage virus particles and microtubules to study the motion of defects in real-time. They found excitations in 3D nematics were primarily disclination lines and loops that can nucleate, shrink, open and merge.
Researchers found that digital computers struggle to replicate the behavior of chaotic dynamical systems, even with vast numbers of available single-precision floating-point numbers. This limitation can lead to errors in simulations, affecting fields like climate change, physics, and chemistry.
Scientists at the University of Groningen observed a phenomenon in ferroelastic material barium titanate that resembles spatial chaos in non-linear dynamical systems. This could lead to highly diverse responses in adaptable neuromorphic electronics, enabling complex computing.
Scientists have developed a new method to overcome the limitations of astronomical time scales, allowing for the dating of geologic archives to be extended by about 8 million years. The study reveals that solar system chaos played a significant role in shaping Earth's climate during this period.
Researchers from Bar-Ilan University and colleagues discovered Topological Synchronization, a new type of synchronization in chaotic systems. This phenomenon occurs when small areas of one strange attractor have the same structure as another, leading to gradual synchronization.
Researchers built a quantum version of Newton's cradle to study the behavior of quantum particles and understand how they reach thermal equilibrium. They observed that the chaotic motion leads to thermalization in a sequence of two exponential steps, challenging previous predictions.
Researchers XiaoMing Li and ShiJun Liao found more than 600 new families of periodic orbits in the three-body problem using a new numerical simulation strategy. The discovery could lead to a deeper understanding of the system's behavior, with implications for our knowledge of chaotic dynamics.
A new method, NLLE, generates ensemble initial perturbations with similar forecast skill to ETKF scheme. It offers a time-saving alternative to ETKF scheme in high-dimensional models.
Researchers at UCSB have uncovered a link between classical chaos and quantum entanglement using controllable quantum systems. Their findings suggest that thermalization is the driving force behind both chaos and entanglement in quantum systems, with implications for quantum computing.
Scientists encode chaos on a weak light signal using stochastic resonance in an optomechanical microresonator. The discovery could have implications for secure optical communications and high-performance sensing.
Researchers from the University of Maryland have described a new definition of chaos that can be applied to a wide range of chaotic systems. Expansion entropy, a flexible type of entropy, is used to identify chaotic behavior in models that are forced by external inputs. This new definition has the potential to help advance computer mod...
Astronomers analyzed Hubble data to find that Nix and Hydra are in chaotic rotation around Pluto. The system's dynamic motion offers insights into binary star systems and potential consequences for life.
Researchers discover seven out of thirteen new families of periodic orbits are unstable, contradicting previous predictions. The study uses a 'Clean Numerical Simulation' approach to verify the findings and reveals the potential for chaotic dynamic systems.
Researchers find fractal distribution of physical characteristics at edge of chaos, deviating from previously reported bell-curve shape. This discovery could improve understanding of chaotic natural phenomena.
Biophysicist Christian Herbst develops a new method to visualize chaotic phenomena, creating a single graph that can intuitively interpret symptoms of systems 'on the way to chaos'. The phasegram technique reveals complex behavior in simple systems, such as weather and cardiac rhythm.
A University of Utah study demonstrates fundamental new property – chaotic behavior in a quantum system – in frozen xenon nuclei, challenging conventional understanding. The findings provide new insights into the relationship between chaos theory and quantum mechanics.
Researcher Mark Paul aims to analyze complex systems like weather and climate using high-performance computing. His goal is to improve understanding of spatiotemporal chaos and its impact on energy production and consumption.
Dr. Harry L. Swinney received the Jürgen Moser Lecture Prize for his work on nonlinear dynamics of systems far from equilibrium. His research has elucidated the onset of turbulence in various systems, including water in rotating cylinders.
Researchers at Penn State have developed a one-dimensional gas system that exhibits remarkable stability despite collisions among atoms. The system, dubbed the 'Quantum Newton's Cradle,' has been observed to maintain its momentum profile unchanged even after thousands of collisions.
Dr. Hinke Osinga and Professor Bernd Krauskopf from the University of Bristol have created a crochet pattern for a chaos model, known as the Lorenz manifold, which helps understand complex systems like chemical reactions and weather patterns. The pattern consists of 25,511 stitches and took over 85 hours to complete.
A new brain-based controller mimics the human olivo-cerebellar system to enable precise movement control. The system will be tested on a mobile autonomous research vehicle to replicate complex maneuvers and wing control of birds and insects.
Researchers explore how complexity theory can help businesses manage complex issues, such as supply and demand patterns. Key findings include the use of genetic algorithms to improve delivery performance and the importance of predictive powers in an unpredictable world.
A new device called the chaos mirror is invented to improve infrared networking technology in crowded offices. It uses a box enclosing seven highly reflective surfaces to split narrow incoming beams into a widely spread array of reflected beams, vastly increasing the chances of beam finding its target.
A new computing technique uses chaotic elements to 'evolve' answers, offering an alternative to traditional digital computers. The system has demonstrated handling various operations, including addition, multiplication, and Boolean logic.
Scientists at Georgia Tech develop a system to encode and decode information using chaotic carrier signals in fiber optic cable. The work opens up new possibilities for secure communication, potentially speeding up data transmission by 100-fold.
The 'Mugspot' software module automatically analyzes video images to pick out passers-by, tracking their heads for identification. Developed at USC and Bochum University, it uses an unusual approach mimicking the brain's visual cortex to recognize faces in substandard lighting conditions.
The FAA and NCAR are working together to develop a new turbulence detection and warning system for the Juneau Airport, which could potentially prevent crashes and injuries. The system uses real-time data from sensors and computer monitors in the control tower to display information on choppy winds and turbulence.
Despite advancements in technology, reliable short-term earthquake predictions remain nearly impossible. Experts recommend redirecting funds to disaster management plans and building codes instead.
Researchers are investigating alternative methods to stabilize seemingly chaotic oscillations in experimental nerve cell and heart preparations. They aim to improve treatments for arrhythmia by controlling chaos in the heart's upper chambers, which can lead to conditions like atrial fibrillation.