Trending Research
Drag-reduction strategies in wall-bounded turbulent flows using deep reinforcement learning
In this work we compare different drag-reduction strategies that compute their actuation based on the fluctuations at a given wall-normal location in turbulent open channel flow.
Fluid Dynamics
Biochars at the molecular level. Part 2 -- Development of realistic molecular models of biochars
With this work, we hope to speed up the uptake of molecular dynamics simulations for the study and development of biochar materials and, to this end, we distribute our easy-to-use surface-exposed biochar models ready for the adsorption studies.
Materials Science
Time Dependent Variational Principle with Ancillary Krylov Subspace
We propose an improved scheme to do the time dependent variational principle (TDVP) in finite matrix product states (MPS) for two-dimensional systems or one-dimensional systems with long range interactions.
Strongly Correlated Electrons Statistical Mechanics Quantum Physics
An Open-Source, Physics-Based, Tropical Cyclone Downscaling Model with Intensity-Dependent Steering
Downscaling ERA5 reanalysis data shows that the model is generally able to reproduce observed tropical cyclone climatology, such as the global seasonal cycle, genesis locations, track density, and lifetime maximum intensity distributions.
Atmospheric and Oceanic Physics
Modeling ionic transport and disorder in crystalline electrodes using percolation theory
The ionic percolation theory reviewed in this chapter describes the percolation behavior of diffusion pathways, identifies the fraction of lattice sites that contributes to ionic conduction, and quantifies the tortuosity of diffusion networks.
Materials Science
Inverse design of dielectric metasurface by spatial coupled mode theory
To model the broadly studied dielectric metasurfaces based on the propagation of guided modes, we propose to model the whole system using spatial coupled mode theory (SCMT) where the dielectric metasurface can be viewed as an array of truncated waveguides.
Optics Applied Physics
Why POCS works, and how to make it better
Projection Over Convex Sets (POCS) is one of the most widely used algorithms in geophysical data processing to interpolate seismic data.
Geophysics Optimization and Control
The Joint Automated Repository for Various Integrated Simulations (JARVIS) for data-driven materials design
usnistgov/jarvis
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The Joint Automated Repository for Various Integrated Simulations (JARVIS) is an integrated infrastructure to accelerate materials discovery and design using density functional theory (DFT), classical force-fields (FF), and machine learning (ML) techniques.
Materials Science Computational Physics
SeisBench -- A Toolbox for Machine Learning in Seismology
Accessing these various benchmark datasets for training and implementing the standardization of models is currently a time-consuming process, hindering further advancement of ML techniques within seismology.
Geophysics
The Potential Role of a Hydrogen Network in Europe
A hydrogen network which reuses the existing fossil gas network could not only help to supply demand for low-emission fuels, but could also to balance variations in wind and solar energy across the continent and thus avoid power grid expansion.
Physics and Society
