Latest Articles for Computational Science

How quantum networks are transforming secure communication and computing.

LPNets enhance the simulation of Hamiltonian systems, preserving essential properties.

A new model improves the accuracy of simulations in biological systems.

Studying mixed quantum-semiclassical systems enhances insights into complex physical phenomena.

Research reveals how mutations impact protein behavior, aiding future medical applications.

A look at using the Hybrid High-Order method for biharmonic equations.

A look at the lattice-symmetries package for quantum many-body physics.

Revolutionize how we visualize high-dimensional data using prior knowledge.

Graph-JEPA offers a new method for analyzing complex graph data effectively.

Hamiltonian learning advances quantum systems understanding, focusing on steady states and degeneracy.

PolyGET merges speed and accuracy in polymer simulations, enhancing scientific research.

Research reveals connections between non-stabilizerness and entanglement in quantum systems.

New techniques significantly improve efficiency and performance of quantum memory using barium atomic vapor.

Learn about ROMC and its application in likelihood-free inference.

Machine learning enhances sampling in lattice quantum chromodynamics for better predictions.

A look into improved clustering methods using multi-swap local search.

Exploring the role of response functions in quantum physics and their practical applications.

Research reveals new connections between lattice geometry and the Ising model's critical behavior.

New techniques in CORSIKA 8 enhance radio signal analysis for high-energy particles.

A new method enhances processing for sparse tensor networks, improving performance.

Combining JAX and Firedrake enhances numerical methods for solving partial differential equations.

Combining machine learning and OFDFT enhances molecular analysis efficiency and accuracy.

New methods enhance simulations of multiscale systems with improved accuracy and stability.

New basis sets improve calculations for heavy elements, enhancing material property predictions.

A new co-scheduling algorithm enhances resource management in high-performance computing systems.

Exploring the implications of exponential potentials in quantum systems.

A novel approach for addressing elliptic PDEs with irregular boundaries.

New methods improve sampling from complex distributions for accurate estimations.

Leveraging Grassmann tensor networks to simplify complex calculations in theoretical physics.

This article presents a method to solve the NLS equation while conserving mass and energy.

A new method improves the study of complex matrix dynamics over time.

Using tensor networks to optimize neutron transport equations in nuclear engineering.

Recent improvements reduce analysis time in plasma experiments, enhancing efficiency in data collection.

A new method enhances drug candidate evaluation by leveraging 3D molecular structures.

A detailed comparison of GMLS and RBF-FD methods for accurate surface derivative calculations.

Exploring how quantum events differ from classical ones in causal relationships.

Quantum methods combined with classical approaches enhance calculations of Green's functions.

Innovative methods to manage errors in quantum computing are crucial for accurate results.

Researchers develop a model that enhances stability in molecular dynamics simulations.

Using analog quantum computing to improve water molecule predictions around proteins for drug design.