Latest Articles for Computational Methods

A look at methods for calculating gravitational potential in astrophysics.

New approaches to tackle complex linear systems efficiently.

Researchers use Tree Tensor Networks for efficient quantum system simulations.

This article presents a novel approach to tackle moving interface challenges in advection-diffusion problems.

A look into performance-barrier event-triggered control in reaction-diffusion systems.

A look at the benefits of expectation propagation for statistical analysis.

A new approach enhances control of quantum systems through multiple-shooting techniques.

A look at new methods for predicting molecular interactions and drug binding.

ELEQTRONeX enhances understanding of non-equilibrium transport in nanomaterials.

A look into minimal cubature rules for accurate numerical integration.

A look into how atomic movement impacts material properties in molecular crystals.

Understanding smooth manifolds through triangulations and their properties in topology.

Introducing an efficient library for analyzing extensive-form games with advanced strategies.

New methods enhance understanding of electronic properties in materials.

Research reveals complex magnetic properties of Ba MnBi and effects of charge doping.

A new approach reduces qubit usage for solving complex optimization problems.

A new method enhances architecture search for deep learning models.

A study on methods for calculating demagnetization fields in magnetic materials.

New architectures for VQAs improve solutions for complex equations using quantum techniques.

Techniques for simplifying mathematical models while retaining key features.

A new approach enhances quantum simulations by merging tensor networks and quantum computation.

Learn how MROSS improves data classification and reduces computational costs.

A look at systoles and their calculation on combinatorial surfaces.

Research reveals crucial details about particle decay processes and their implications.

New methods improve how scientists predict protein-binding interactions.

An overview of DNNs and Accordion Networks in managing high-dimensional data.

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.