Latest Articles for Computational Science

An overview of quantum states, correlations, and the impact of decoherence.

A new method enhances accuracy in simulating fluid interactions.

Introducing Dual-Space Optimization to enhance drug design processes.

New coupler designs aim to improve quantum computing performance and reduce errors.

Cholla-MHD enhances astrophysical simulations using magnetohydrodynamics for detailed cosmic studies.

Explore how stochastic algorithms enhance imaging and optimization in science.

Discover how molecular docking and quantum computing improve drug development.

Innovative methods improve simulations of fermionic behavior in complex systems.

Introducing a method that combines kernel-based reconstruction with finite volume techniques for fluid flows.

Researchers use quantum computers to simulate fundamental particle interactions in SU(3) theory.

Using neural networks to solve complex partial differential equations efficiently.

New method enhances efficiency in studying molecular quantum behavior.

New methods improve accuracy in QCD simulations, focusing on fermions and their interactions.

Using AI to improve galaxy formation chemistry models for faster results.

Universal Physics Transformers improve fluid dynamics modeling efficiency and accuracy.

Exploring quantum methods for optimizing uncertain decision-making processes.

Investigating neural networks' role in quantum phase transitions, particularly in the Bose-Hubbard Model.

Examining methods used to simulate how solids move through fluids across various fields.

Utilizing automatic differentiation to optimize quantum systems and improve entanglement properties.

Efficient techniques for solving complex matrix equations in various scientific fields.

New methods improve stability and accuracy in solving complex equations.

New methods improve our ability to find polynomial roots efficiently.

A new loss function enhances the reliability of neural operators for solving PDEs.

Study reveals the role of protoclusters in galaxy formation during the early universe.

A new method enhances quantum computing's role in solving Partial Differential Equations.

This study presents a new method for simulating core-collapse supernovae using grey neutrino transport.

This study evaluates spin chains and their learning applications in quantum information theory.

Exploring a novel approach to the Schrödinger equation in quantum mechanics.

Examining how information travels in a Hubbard chain connected to a particle sink.

Developing an algorithm for the efficient factorization of the Brauer monoid.

Learn to improve optimization using simpler models combined with high-quality data.

Research highlights how disconnectivity graphs reveal Ising machines' strengths and challenges in optimization.

This article analyzes error correction methods in quantum computing using the Bacon-Shor code.

A new approach improves simulations for quasi-2D particle interactions.

Machine learning aids in predicting crystal structures more efficiently than traditional methods.

This research presents a combined approach for quicker protein movement simulations.

Examining how quantum algorithms can enhance our understanding of neural networks.

Researchers develop new methods for preparing Bethe states in quantum systems.

A new method blends local and nonlocal modeling to improve accuracy and reduce costs.

Exploring new techniques in finite element methods for practical applications.