Research reveals the significance of neutron star mergers and the role of simulations.
― 8 min read
A new model predicts turbulent behavior, aiding future fusion reactor designs.
― 6 min read
A look into the importance and challenges of coupled cluster theory in chemistry.
― 5 min read
Introducing FB-LTS, a method improving efficiency in shallow water simulations.
― 3 min read
A tool designed to streamline gathering material properties from scientific literature.
― 7 min read
Research sheds light on defects in cesium lead bromide for solar cell efficiency.
― 5 min read
Investigating the similarities between DNNs and structural glasses.
― 5 min read
An overview of Material Point Methods and their applications in studying materials.
― 5 min read
Researchers use simulations to investigate ion crystal behavior for quantum science.
― 4 min read
Exploring the role of tensor networks in enhancing probabilistic inference efficiency.
― 6 min read
LENNs offer a new approach for modeling complex physical systems efficiently.
― 6 min read
Researchers simplify neural networks to unveil crucial insights about memory and decision-making.
― 5 min read
Neural wave functions and Pfaffians enhance quantum chemistry predictions significantly.
― 5 min read
A new method enhances training for neural networks solving partial differential equations.
― 6 min read
Improving velocity measures enhances particle behavior simulations in various scientific fields.
― 7 min read
Learn how to apply transparent boundary conditions in solving the Schrödinger equation numerically.
― 6 min read
This study reveals new insights into turbulence in space environments.
― 6 min read
Researchers improve plasma simulations with a new numerical integration method.
― 5 min read
A new AI-based method improves efficiency in Full Waveform Inversion.
― 6 min read
RKGC improves accuracy and consistency in fluid simulations using SPH.
― 6 min read
This article discusses how machine learning aids in designing microstructured materials.
― 5 min read
Study reveals new insights into hydrogel behavior under stress.
― 5 min read
Research reveals complex electron behaviors in MATBG using advanced computational techniques.
― 5 min read
New algorithms enhance predictions of quantum ground states using limited data.
― 6 min read
A new method combines machine learning with coarse graining for better material modeling.
― 7 min read
A new method enhances the speed and accuracy of predicting charge density.
― 5 min read
A new method uses deep learning to improve quantum many-body energy calculations.
― 7 min read
This article discusses innovative methods for discovering conservation laws in various scientific fields.
― 6 min read
Combining quantum and classical methods to tackle fluid motion equations.
― 4 min read
Combining physics and geometry for improved acoustic scattering predictions.
― 5 min read
An overview of two-phase flows and the numerical models that study them.
― 5 min read
New multi-focus ptychography techniques improve imaging of thick materials at atomic scale.
― 6 min read
A look into SPIMs and their potential in optimization problems.
― 6 min read
Exploring the optimized effective potential method for accurate force calculations in materials.
― 6 min read
A concise guide to effectively writing and submitting scientific papers.
― 4 min read
A new loss function, Astral, boosts the performance of physics-informed neural networks.
― 7 min read
New methods improve modeling of electromagnetic problems with interfaces using neural networks.
― 5 min read
A new algorithm improves eigenstate estimation in quantum systems.
― 5 min read
Researchers study unexpected behaviors in fluid flows through Euler equations and singularities.
― 5 min read
Recent findings reveal slow-spinning pulsars may emit signals, reshaping our knowledge.
― 5 min read