Latest Articles for Mathematical Modeling

This article examines how data type affects parameter identifiability in the SEIR model.

New methods enhance disease spread modeling accuracy using contact networks.

Investigating how magnetic fields affect particle movements between potential wells.

This article discusses methods to tackle the RIS problem in particle interactions.

This study investigates the behavior of temperature patches in fluid dynamics.

This study investigates wave localization in systems described by the fDNLS model.

A new way to create simpler models from complex systems for better simulations.

A new approach using neural networks enhances viscosity for high-order methods.

This study enhances decision-making models for competitive pricing and facility locations.

A look at how the brain switches between states and its implications for epilepsy.

Exploring the unique characteristics of non-Abelian anyons in quantum systems.

Study examines effects of added food on prey and predator interactions.

Nonlocal models provide insight into complex biological interactions over distances.

Examining energy and configuration in the 3-body problem.

This article discusses difficulties in optimizing PINNs and their training strategies.

Research introduces a model to analyze organelle movements in plant cells.

This study simplifies energy behavior in materials through mathematical modeling.

New insights into vortex sheets enhance fluid dynamics analysis.

Investigating solitary states and their behavior in interconnected oscillator networks.

Exploring interactions between fluid layers in the atmosphere and oceans.

Exploring the TRG method's impact on fermionic systems in quantum physics.

A review of mathematical modeling approaches to analyze COVID-19's spread and its implications.

This study investigates how cancer cells invade tissue using a gelatin model.

Exploring the Burgers equation in fluid dynamics and its applications.

Introducing a new metric for analyzing fluid motion using trajectory variations.

A concise overview of fluid motion and its critical principles.

Examining how weak and strong coupling affect system transitions in bistable elements.

A method to better visualize outcomes in multi-objective optimization challenges.

Exploring group movement in nature and robotics through mathematical modeling.

Researchers develop a model to explain cell movement and interaction with surfaces.

Stochastic resetting enhances search processes by addressing noise-enhanced stability.

CAG-ODE enhances predictions for systems with interacting agents and multiple interventions.

Our research shows conditions for stability in the chaotic Lorenz system.

Explore the concept of mutual visibility in graphs and its applications.

Examining how thermal noise affects turbulent fluid flows.

Explore how the DEIM-FS algorithm improves tensor decomposition efficiency.

Explore how driven Potts models reveal synchronization in complex systems under external influences.

Research explores spiral wave interactions and their impact on heart rhythms.

A study on efficient reachability methods for autonomous systems.

A look into zero-sum games with state constraints and one-sided information.