Latest Articles for Mathematical Modeling

This article examines how noise and connections shape neuronal activity patterns.

This study examines hyperboloidal slices for improved gravitational wave simulations.

A look into the complex behavior of turbulence close to surfaces.

A look at the complex behaviors of the Thomas Attractor through a single control parameter.

A look into how microbubbles enhance ultrasound imaging quality.

A deep dive into methods for estimating banded and sparse covariance operators.

Exploring collision orbits and their implications for space travel dynamics.

New techniques improve efficiency in modeling complex systems.

New insights into diffusion models enhance their efficiency and adaptability in data generation.

A study of urn models revealing insights into randomness and average outcomes.

A new model for better understanding dynamic connections in networks over time.

This article explores how aggregation-diffusion equations explain group behaviors in nature.

A look at how polymers behave when placed in different solvents using mathematical models.

Improving Helmholtz equation solutions with multipreconditioning and sweeping methods.

Explore how cells move in response to chemical signals and its significance.

A look at solitary waves and their significance in fluid dynamics.

Exploring advanced models for synchronization in complex adaptive networks.

This paper discusses methods for risk-averse decision-making using Markov Decision Processes.

This study explores how gravity waves behave around solid objects in layered environments.

Researchers study how particles move and interact, affecting their density profiles.

Examining turbulence behavior in Bose-Einstein Condensates and its implications.

This article explores how attractors influence system behavior over time.

Research improves understanding of water flow between surface and underground systems.

Exploring how bacteria communicate and coordinate through quorum sensing.

An exploration of strategies and dynamics in turn-based shooting games.

This study examines key factors influencing cancer spread and potential treatment strategies.

A look into implicit Euler schemes and their role in solving differential equations.

Examining how randomness affects fluid behavior through stochastic Navier-Stokes equations.

Explore how mathematical models predict infectious disease dynamics and inform health responses.

Research on phase transitions in quantum materials using the Lee-Yang formalism.

This article discusses deep learning methods for solving optimal stopping problems in financial options.

Exploring how cells organize and divide for life.

A look into how randomness affects chemical reactions in stochastic networks.

New methods improve the accuracy of solving kinetic equations in physics.

Combining methods to improve fluid dynamics modeling and solve challenges efficiently.

Analyzing stability of finite-volume schemes with non-uniform meshes in scientific computations.

Examining energy movement through a Bethe lattice model with sources and drains.

This article discusses methods for comparing images using nonlinear elasticity models.

This article examines the cKdV equation and its role in modeling radial waves.

This article discusses the connection between mass-action and network models of disease spread.