Trending Research
Purely data-driven medium-range weather forecasting achieves comparable skill to physical models at similar resolution
ai4environment/WeatherBench
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Numerical weather prediction has traditionally been based on physical models of the atmosphere.
Atmospheric and Oceanic Physics
Detecting and quantifying entanglement on near-term quantum devices
Firstly, it decomposes a positive map into a combination of quantum operations implementable on near-term quantum devices.
Quantum Physics Strongly Correlated Electrons
Promoting global stability in data-driven models of quadratic nonlinear dynamics
Second, we illustrate how to modify the objective function in machine learning algorithms to promote globally stable models, with implications for the modeling of fluid and plasma flows.
Fluid Dynamics Computational Physics Plasma Physics
Testing the Speed of Gravity with Black Hole Ringdown
We investigate how the speed of gravitational waves, $c_{GW}$, can be tested by upcoming black hole ringdown observations.
General Relativity and Quantum Cosmology
Origin of ferroelectric domain wall alignment with surface trenches in ultrathin films
Given the generality of this mechanism, we suggest that STs could be used to engineer other exotic polar textures in a variety of FE nanostructures as supported by the appearance of ST-induced polar cycloidal modulations in this letter.
Materials Science Computational Physics
Investigating Quantum Approximate Optimization Algorithms under Bang-bang Protocols
google-research/google-research
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The quantum approximate optimization algorithm (QAOA) is widely seen as a possible usage of noisy intermediate-scale quantum (NISQ) devices.
Quantum Physics
ELECTRODE: An electrochemistry package for atomistic simulations
Here we present a feature-rich CPM implementation, called ELECTRODE, for the Large-scale Atomic/Molecular Massively Parallel Simulator (LAMMPS), which includes a constrained charge method and a thermo-potentiostat.
Chemical Physics Computational Physics
Modified Shallow Water Equations for significantly varying seabeds
The novel system is a non-dispersive non-hydrostatic extension of the classical Saint-Venant equations.
Classical Physics Analysis of PDEs Numerical Analysis Computational Physics Fluid Dynamics
Deep learning of interfacial curvature: a symmetry-preserving approach for the volume of fluid method
asimonder/geometricvofcartesian
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The present work proposes a new data-driven strategy which conserves the symmetries in a cost-effective way and delivers consistent results over a wide range of grids.
Fluid Dynamics Computational Physics
Bias-tailored quantum LDPC codes
Bias-tailoring allows quantum error correction codes to exploit qubit noise asymmetry.
Quantum Physics
