Latest Articles for Computational Methods

Researchers combine thermodynamics and linear algebra for efficient problem-solving.

Researchers explore laser-free methods for improving trapped ion quantum computers.

This document discusses methods for analyzing complex time series data with multiple variables.

A new method enables privacy protection in deep learning through polynomial approximations.

A software package for studying materials' electronic structures through simulations.

A new method combines AI and physics to tackle complex inverse problems.

Exploring the concept of First Passage Time in quantum measurements.

A new hybrid approach improves elasto-plastic problem analysis.

Researchers combine classical methods with machine learning for better molecular predictions.

Researchers use X-ray absorption spectroscopy to analyze liquid water's molecular behavior.

Examining the behavior and properties of wide layers in deep neural networks.

A new method improves fluid flow and pressure calculations.

This article discusses techniques for analyzing particle interactions in physics.

This article discusses the numerical inverse scattering transform for the DNLS equation.

New methods in quantum many-body physics show promise in improving particle interaction studies.

This article presents a method for simulating quantum systems in large environments.

A simpler approach promises efficient calculations of magnetic moments in particle physics.

A look into special nilpotent orbits and their significance in representation theory.

ShadowNet combines classical shadows and neural networks to enhance quantum system learning.

Explore the relationship between modular curves and their cuspidal subgroups.

This study explores how postprocessing enhances Bayesian optimization efficiency in complex problems.

A new method streamlines calculations for studying electron behavior in complex molecules.

A method to improve decision-making speed in Model Predictive Control systems.

Research offers new methods for calculating generation functions in quantum field theory.

New methods improve efficiency in complex physics simulations and modeling.

A new method enhances efficiency in complex data analysis using weighted Riesz particles.

New methods improve simulation efficiency in particle physics.

A method to improve model predictions by using multiple kernels simultaneously.

AFsample2 enhances protein shape predictions through innovative sampling methods.

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

Soft merging enhances deep learning by combining models efficiently and effectively.

A novel framework improves the study of glasma in heavy-ion collisions.

Examining relationships between elliptic curves through isogeny and height constraints.

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

Study reveals complex boson behaviors in a two-chain setup.

A look into quantum spin systems and the Green's function method for analysis.

Exploring the complexities of optimal transportation and the role of Kantorovich potentials.

A fresh approach for using neural networks with complex data structures.

A new method enhances decision tree accuracy and efficiency for large datasets.

Examining how machine learning models improve predictions in materials research.