Latest Articles for Modeling Techniques

A new approach to understanding cold gas clouds and star formation in galaxies.

A study on improving parameter estimation in vapor-liquid equilibrium models.

This article discusses models to simplify the study of heavy fermion materials.

Combining Bayesian updating and surrogate modeling for improved model parameter estimation.

A deep look into soft magnetic composite materials and their modeling.

Researchers develop a method to find governing equations from noisy data.

New methods enhance data modeling through weighted pseudoinverses and efficient algorithms.

Examining the impact of data removal on MCMC analysis conclusions.

A look at how new modeling techniques improve understanding of interconnected systems.

A method to simplify regression model selection amidst uncertainty.

A novel approach improves atomic structure modeling for materials science.

A new method enhances prediction accuracy using leave-one-out cross-validation.

New methods combine simple models with advanced grids for efficient subsurface analysis.

Discover new tools for dynamic system modeling through deep learning.

Learn how Langevin dynamics improves parameter estimation over traditional methods.

A new method for predicting slow dynamics in multiscale systems using data-driven techniques.

Using surveys to improve disease modeling accuracy.

New SIR model enhances disease prediction and public health response.

A new method enhances climate model precision through systematic parameter adjustments.

A look at how Wigner rotations influence particle interactions and decay processes.

Research on reduced models for predicting behaviors of bolted joints under dynamic loads.

A look into stochastic volatility models and their impact on finance.

A look at the Finke-Watkzy model's impact on chemical reactions and disease spread.

A complex version of the logistic map incorporates fractional order for better modeling.

Explore how changing probability measures affects stochastic partial differential equations.

Discover the SALT method for improved fluid dynamics modeling.

Methods to enhance efficiency in simulating complex turbulent flows.

A study on advanced techniques for better uncertainty analysis in seismic exploration.

A method to design control inputs for efficient data collection and model accuracy.

Combining physics models and deep learning to improve predictions and manage uncertainty.

Examining how model parameters impact performance on long-range tasks.

A novel method enhances sensor placements for better data accuracy in physical systems.

A look at how uncertainty impacts model predictions in chemical engineering.

New modeling techniques improve predictions in chemical processes.

This study enhances the Ensemble Kalman Filter for nonlinear applications.

Scientists use Boolean models to understand complex biological interactions and make predictions.

A clear look at long-range models and their role in particle interactions.

New methods improve accuracy of disease spread estimates for public health responses.

Learn how RSA improves parameter estimation in particle physics models.

A guide to choosing SBI methods for biological data analysis.