An overview of symplectomorphism neural networks and their importance in Hamiltonian systems.
― 6 min read
New approach improves turbulence simulation using deep learning and physics-based methods.
― 7 min read
A new method improves quantum algorithms for solving linear equations more effectively.
― 5 min read
Exploring Monte Carlo methods to study the behavior of glass-forming liquids.
― 8 min read
This approach connects physics with optimization for better solutions.
― 5 min read
A new method for trapping small particles using light and temperature differences.
― 5 min read
New methods improve plasma simulations for better understanding and applications.
― 6 min read
Examining the significance of four-phonon interactions in thermoelectric materials.
― 5 min read
This article explores binary neutron stars, their mergers, and the significance of initial data.
― 7 min read
A look into non-relativistic quasinormal modes and their implications in physics.
― 5 min read
Discover how machine learning predicts outcomes of atomic interactions.
― 6 min read
Research reveals complex interactions in spin relaxation and their implications.
― 7 min read
A look into the smallest parts of matter and their interactions.
― 5 min read
This method enhances understanding of model behavior through input-output relationships.
― 5 min read
Learn how TCI breaks down large data for easier analysis.
― 5 min read
Examining air flow transitions at hypersonic speeds and their impact on vehicle safety.
― 5 min read
A study on using neural networks for simulating material phase dynamics.
― 6 min read
A method to enhance the accuracy of Bessel function approximations for real-world applications.
― 5 min read
A look at how network theory reveals galaxy relationships in the Coma Supercluster.
― 6 min read
Researchers propose interaction annealing to improve understanding of complex materials like WTe.
― 5 min read
New methods improve predictions of material behavior under varying conditions.
― 6 min read
Research reveals new structures to enhance ionic conductivity in energy storage materials.
― 5 min read
TPDH-graphene shows promise in enhancing lithium-ion battery performance and longevity.
― 5 min read
Using machine learning to enhance the interpretability of molecular simulations.
― 8 min read
New methods improve simulation of fermion dynamics in various systems.
― 4 min read
A look at neutron behavior and its significance in nuclear applications.
― 5 min read
Discover how fluid properties influence complex patterns in Hele-Shaw flow experiments.
― 6 min read
This article discusses a technique to simplify studying quantum systems using the JD algorithm.
― 6 min read
Data and machine learning are transforming how scientists find new materials.
― 6 min read
New methods improve efficiency and accuracy in electronic structure modeling.
― 6 min read
New methods improve light manipulation in nanostructures for better energy efficiency.
― 7 min read
A look into SrCuTeWO and its unique nonmagnetic properties.
― 5 min read
New method improves speed and accuracy in gas flow simulations.
― 4 min read
New techniques improve eigenvalue calculations for complex matrices efficiently.
― 5 min read
Investigating methods for applying boundary conditions in the Schrödinger equation simulations.
― 6 min read
This study examines how fast and slow active particles interact in mixtures.
― 5 min read
Using GNNs to predict optical properties of materials improves device design.
― 5 min read
A fresh approach to understanding the origins of gamma-ray bursts using machine learning.
― 6 min read
A simplified approach to identify crystal structures using particle coordinates.
― 4 min read
This study models straight and circular swimmers in fluid dynamics.
― 5 min read