Latest Articles for Mathematical Modeling

Research connects discrete and continuous models to study pigment cell patterns in zebrafish.

Exploring the quasi-geostrophic model's role in understanding fluid dynamics and climate.

This work discusses numerical methods for simulating open quantum systems and their effectiveness.

Analyzing long edges in Galton-Watson trees reveals key population dynamics.

A new library aids in simulating two-dimensional quantum systems using tensor networks.

This article studies how particle interactions affect their distribution in a confined space.

A new framework for assessing the stability of differential-algebraic systems under uncertainty.

Examining how Turing patterns develop in dynamic environments.

Examining how area changes influence Turing patterns in natural systems.

Exploring the challenges of controlling P. vivax malaria and the role of models.

This article examines how agents make decisions under risk across various gambling scenarios.

This article investigates solution behavior of the Kuramoto-Sivashinsky equation from rough initial data.

A new approach enhances SIR models for better epidemic analysis.

Exploring solutions, stability, and applications of fourth-order nonlinear parabolic equations.

New methods improve the accuracy of biological models using physiological knowledge.

An overview of the Lotka-Volterra model and its ecological significance.

New methods are improving how we analyze complex brain activity data.

Examining the Chern-Simons model's impact on the fractional quantum Hall effect.

This article explores how active particles behave in viscoelastic materials.

New method improves ground-state energy calculations for odd-mass nuclei.

Examining disease dynamics through a two-strain model in varied environments.

A new method for approximating functions with singularities, ensuring accuracy and flexibility.

Learn how robust MDPs handle uncertainty in decision-making frameworks.

New projectors enhance modeling accuracy in electromagnetic scattering at low frequencies.

This study investigates how bacteria move based on environmental factors using experimental data.

Learn how scientists solve complex linear systems in plasma physics research.

Exploring how combustion behaves under various conditions through mathematical modeling.

A novel approach enhances predictions for extreme data events.

Research reveals a fresh model for Brown-Gitler spectra, enhancing understanding of complex structures.

Investigating the role of remote regions in network dynamics and their influence.

This paper discusses improvements in aligning point clouds using optimal transport methods.

A method for classifying irreducible projective varieties without toric structures.

This article examines how media and randomness affect disease dynamics.

Examining how continuous models impact robustness and performance in machine learning.

Researchers improve stock price models using physics concepts for better predictions.

Study reveals how higher-order interactions shape swarmalator states and synchronization.

Study reveals how randomness affects substance spread in fluid dynamics.

A simplified model for accurate energy transfer simulations in high-temperature materials.

An overview of LQR and Kalman Filter in control systems.

A data-driven approach identifies hidden strategies for managing disease evolution.