Latest Articles for Computational Science

A novel approach for clustering molecular dynamics data to improve drug design.

A new method improves solutions to complex elliptic PDEs in engineering and science.

Innovative approach connects N-body simulations to accurate galaxy counts efficiently.

Heavy-ion collisions provide insights into the Quark-Gluon Plasma and nuclear matter.

A new approach to enhance accuracy in hyperbolic conservation laws using jump filters.

This article presents a new method for simulating quantum systems with changing forces.

This article discusses enhancing VPINNs efficiency using Least Squares and gradient descent.

MAPred combines sequence and structure data for better enzyme function predictions.

Exploring how RL improves diffusion models for targeted outcomes.

Research reveals how energy moves in quantum systems using advanced simulations.

New methods improve photon loss management in quantum computing.

A look into the Extended Generator Coordinate Method in nuclear physics.

HiFuse enhances the speed and efficiency of heterogeneous graph neural networks.

A new method for resource estimation in quantum computing circuits.

A new heuristic enhances solution finding in MILP problems.

A new tool improves the modeling of gamma-ray behavior in the universe.

Recent advancements in studying warm dense matter using Bohm SPH show promising results.

cuVegas enhances numerical integration efficiency using GPU technology for complex tasks.

This paper discusses the role of bath correlation functions in open quantum systems.

Explore how random time steps improve solutions to ordinary differential equations.

New activation functions improve neural networks for solving complex equations.

An overview of space-time multigrid methods and their applications in various fields.

A look into how recurrent flows help analyze turbulence.

New methods improve understanding of particle and energy movement in complex systems.

Discover how protein language models aid in predicting protein behaviors and functions.

A new model, XPaiNN, enhances predictions in quantum chemistry using machine learning approaches.

New techniques improve efficiency in sampling and energy calculations for quantum chemistry.

Persistent sampling enhances efficiency in Sequential Monte Carlo methods for data analysis.

mBLOR functional enhances Density Functional Theory for better material predictions.

Krylov methods evolve to simplify complex quantum system analysis.

A new emulator improves accuracy and efficiency in studying nuclear reactions.

New methods enhance efficiency in solving particle transport equations.

ProteinGPT simplifies protein study through an interactive chat system.

A hybrid filter enhances numerical methods for better accuracy in discontinuous regions.

This article discusses using tensor decomposition to improve PINNs for solving complex equations.

New techniques improve efficiency in modeling complex systems.

Exploring communication methods within multi-GPU supercomputers for enhanced performance.

An exploration of the intricate training processes in two-layer narrow neural networks.

A hybrid approach improves wave equation computations in various fields.

A look into eigenvalue problems and methods for their resolution.