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Enhancing predictive accuracy in social contagion dynamics via directed hypergraph structures
Evidence from both theoretical and empirical studies suggests that higher-order networks have emerged as powerful tools for modeling social...
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Energy-information trade-off induces continuous and discontinuous phase transitions in lateral predictive coding
Lateral predictive coding is a recurrent neural network that creates energy-efficient internal representations by exploiting statistical regularity...
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Image-Based Aerial Gras** of a Moving Target Using Model Predictive Control
The focus of this study is on utilizing vision-based aerial gras** to capture a moving target, which is achieved through the implementation of a...
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Model predictive control-based coupled orbit-attitude control for solar sail formation flying in the Earth-Moon system
This paper investigates the problem of coupled orbit-attitude control for solar sail formation flying where the leader follows a solar-sail resonant...
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Hamiltonian Theory: Dynamics
This chapter focuses on the status of the implementation of the dynamics in the canonical version of loop quantum gravity (LQG). Concretely, this...
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A robust study of the dynamics of tumor–immune interaction for public health via fractional framework
It is evident that a tumor is a dangerous lump of tissue developed through the uncontrollable division of cells, replacing healthy tissue with...
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Predictive landscapes hidden beneath biological cellular automata
To celebrate Hans Frauenfelder’s achievements, we examine energy(-like) “landscapes” for complex living systems. Energy landscapes summarize all...
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Generative learning for nonlinear dynamics
Modern generative machine learning models are able to create realistic outputs far beyond their training data, such as photorealistic artwork,...
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Unravelling quantum dynamics using flow equations
The study of many-body quantum dynamics in strongly correlated systems is extremely challenging. To date, few numerical methods exist that are...
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Information Thresholds: Navigating Predictive Boundaries
Previously, I explained the importance of identifying patterns and warning signsSigns indicating an approaching tip** pointTip** point. The crowd...
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Microscopic theory for nuclear fission dynamics
Nuclear theory research is undergoing a renaissance owing to the recent advancements in the high-performance computing. As nucleus is a quantum...
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Predictive Compartmental Models for Bioaccumulation and Transport
Various processes govern the transfer, distribution and accumulation of radionuclides in terrestrial, freshwater and marine ecosystem. Evaluation of...
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Emergent stability in complex network dynamics
The stable functionality of networked systems is a hallmark of their natural ability to coordinate between their multiple interacting components....
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Kidnap** dynamics: a Lotka–Volterra approach with fractional order modeling
This paper investigates the dynamics of kidnap** incidents through the application of the Lotka-Volterra model with fractional order modeling....
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Transcending classical diffusion models: nonlinear dynamics and solitary waves in the fractional Chaffee–Infante equation
This research employs advanced computational methodologies to analyze solitary wave solutions associated with the fractional nonlinear...
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The duality game: a quantum algorithm for body dynamics modeling
In recent years, quantum algorithms have emerged as a groundbreaking approach toward solving complex computational problems, particularly in physical...
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Impact of solvation on the photoisomerisation dynamics of a photon-only rotary molecular motor
The optimization of the quantum efficiency of single-molecule light-driven rotary motors typically relies on chemical modifications. While, in...
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Insights on the internal dynamics of bi-disperse granular flows from machine learning
In granular flows, grains exhibit heterogeneous dynamics featuring large distributions of forces and velocities. Conventional statistical methods...
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Predictive control and synchronization of uncertain perturbed chaotic permanent-magnet synchronous generator and its microcontroller implementation
It has been proved that the permanent-magnet synchronous generator system displays a variety of chaotic phenomenon when its parameters or external...
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Design of intelligent Bayesian supervised predictive networks for nonlinear delay differential systems of avian influenza model
Over the past two decades, avian influenza viruses have rapidly spread in poultry around the world. Both humans and industrial poultry are at risk...
