Latest Articles for Computational Methods

Quantum computers enhance our understanding of particle interactions and dynamics.

Exploring the dynamics of complex systems beyond equilibrium using advanced simulation methods.

This study explores quantum computing techniques for analyzing nuclear resonances.

Introducing a flexible method for simplifying network connections without fixed parameters.

Ionizable residues influence protein function and drug discovery through their charge properties.

A new approach offers efficient estimation of vibrational level density in atomic nuclei.

A look at how sparse graphs relate to their line graphs and properties.

Innovative methods for efficient solutions to complex inverse problems in various fields.

A new method speeds up fluid simulations using a blend of machine learning and CFD.

TopoMamba enhances analysis of relationships in simplicial complexes for deeper insights.

Introducing a pooling operator that maintains data integrity while improving computation speed.

This study explores how particles influence fluid movement in turbulent conditions.

This research enhances RFA simulations by applying parallel computing techniques to reduce execution time.

New methods improve Lyapunov exponent calculations, aiding chaos analysis.

Explore the role of Lattice Boltzmann Method in studying multiphase flows.

A look at elastic properties and thermal conductivity in materials.

Study of machine-learning models predicting properties in solid materials, focusing on defects.

New models improve understanding of evolutionary relationships among species.

New strategies for effective control in discrete-time systems under disturbances.

A look into methods for handling time series data in scientific research.

Exploring thermalization processes in open and isolated quantum systems.

A look into the latest developments in QEDFT and its implications.

A look at mean-field Langevin dynamics in physics and machine learning.

A look at total variation distance and its significance in probability distributions.

New methods improve predictions in complex systems, especially in geoscience.

Explore how Quantum Monte Carlo can transform economic modeling and analysis.

New techniques improve simulations of the Schwinger model using quantum computing.

A new approach to improve molecular property predictions in AI using task addition.

Researchers develop a method for efficient calculations in quantum spin chains at high temperatures.

New methods improve model performance with fewer data points.

New methods for efficiently analyzing network changes in weighted graphs.

A new method for improving GNNs in molecular analysis.

A new method enhances active learning for better machine learning performance.

New method enhances simulation accuracy of the solar atmosphere and fluid interactions.

Exploring energy corrections and vacuum polarization in muonic atomic systems.

A fresh perspective on analyzing material responses using susceptibility in quantum chemistry.

Explore how Conway's cosmological theorem transforms number sequences through audioactive derivation.

Researchers use machine learning to enhance predictions of infinite nuclear matter efficiently.

Recent developments in quantum algorithms and hardware show great potential for efficiency.

A look into sextic and Morse potentials in quantum mechanics.