Latest Articles for Computational Methods

New tracking method promises to improve efficiency at the Large Hadron Collider.

Research into Bose gases reveals complex interactions under different conditions.

New GNN models enhance molecular representation for better predictions in science.

New methods improve accuracy and efficiency in solving inverse problems.

Using machine learning to analyze spin foams in quantum gravity.

Exploring the loop-string-hadron method for constructing gauge invariant states.

Dimer models reveal intriguing patterns through arrangements on grids.

A new approach to clustering high-dimensional data with cellular automata.

This article reviews motives in mathematics, highlighting their connections and implications.

A new method employs symmetries in neural networks to improve quantum system predictions.

Learn how Restricted Function Spaces improve PDE solutions in Firedrake.

A look at two methods for improving predictions in various fields.

A new approach enhances analysis of complex quantum systems using Projected Entangled Pair States.

This method improves the solving of PDEs on surfaces that change shape over time.

New algorithms enhance contour tree analysis in large datasets across scientific fields.

Discovering new methods to study complex interacting particle systems.

A new method using neural networks improves modeling of complex electromagnetic fields.

Introducing a method that improves efficiency in solving bilevel optimization problems.

MGMC method improves efficiency in sampling complex Gaussian distributions.

A detailed comparison of two forms of sodium germanium selenide for future applications.

New method enhances prediction of crystal structures in complex materials.

Researchers use TD-SCHA to better simulate quantum behaviors in materials, focusing on strontium titanate.

This article examines projected Fermi sea states and their physical properties through tensor networks.

Analyzing VQE performance on the Hubbard model reveals insights into quantum simulations.

RINO offers a new approach to solving partial differential equations efficiently.

A new method enhances circuit partitioning for better quantum communication.

A look into quantum phase transitions and innovative methods for studying them.

An innovative approach enhances the study of quantum many-body systems.

A new method improves data analysis efficiency using Sparse Variational Student-t Processes.

TeNPy offers tools for simulating complex quantum systems using tensor networks.

A look into the structure and relationships of intuitionistic modal logics.

Quantum computing could reshape chemical research and simulations.

An exploration of prime matrices and their breakdown into simpler tensor products.

A new technique simplifies sampling from complex probability distributions in data science and finance.

Engineers enhance design optimization using surrogate models and Thompson Sampling.

Advancements in Quantum Monte Carlo enhance analysis of quantum phase transitions.

A look into the significance and challenges of Density Functional Theory.

SHARP improves resolution of Hi-C contact matrices, leading to better genomic insights.

New methods boost graph node classification accuracy with limited labeled data.

This article discusses three-loop calculations of electron self-energy in quantum electrodynamics.