Liquid hydrocarbons are often modeled with fixed, symmetric, atom-centered charge distributions and Lennard-Jones interaction potentials that reproduce many properties of the bulk liquid. While useful for a wide variety of
On CFD Numerical Wave Tank Simulations: Static-Boundary Wave Absorption Enhancement Using a Geometrical Approach. (arXiv:2011.12494v1 [physics.flu-dyn])
The present study aims to extend the applicability of the static-boundary absorption method in phase-resolving CFD simulations outside the conventional shallow-water waves limit. Even though this method was originally formulated
Simulation as a sustainable trading zone: Aiming at intergenerational justice. (arXiv:2011.12497v1 [physics.hist-ph])
The paper, drawing on the example of simulation codes used in nuclear physics and high-energy physics, seeks to highlight the ethical implications of discontinuing support for simulation codes and the
Great Wall-like Water-based Switchable Frequency Selective Rasorber with Polarization Selectivity. (arXiv:2011.12499v1 [physics.app-ph])
A water-based switchable frequency selective rasorber with polarization selectivity using the Great Wall structures is presented in this paper. The proposed structure comprises a container containing horizontal and vertical channels
Recoil-limited feedback cooling of single nanoparticles near the ground state in an optical lattice. (arXiv:2011.12507v1 [physics.optics])
We report on direct feedback cooling of single nanoparticles in an optical lattice to near their motional ground state. We find that the laser phase noise triggers severe heating of
COVID-19 and Social Distancing: Disparities in Mobility Adaptation by Income. (arXiv:2011.12510v1 [cs.CY])
In response to the coronavirus disease 2019 (COVID-19) pandemic, governments have imposed orders upon or encouraged citizens to decrease physical contact to slow down the spread of the virus. Current
Analytical solution for an acoustic boundary layer around an oscillating rigid sphere. (arXiv:2011.12513v1 [physics.flu-dyn])
Analytical solutions in fluid dynamics can be used to elucidate the physics of complex flows and to serve as test cases for numerical models. In this work, we present the
Deep Learning of Diffuse Optical Tomography based on Time-Domain Radiative Transfer Equation. (arXiv:2011.12520v1 [physics.med-ph])
Near infrared diffuse optical tomography (DOT) provides an imaging modality for the oxygenation of tissue. In this paper, we propose a novel machine learning algorithm based on time-domain radiative transfer
Modelling the mechanosynthesis of gold nanoparticles using a structural-phase-field-crystal model with ballistic driving. (arXiv:2011.12521v1 [physics.chem-ph])
Mechanochemistry is becoming an established method for the sustainable, solid-phase synthesis of scores of materials and molecules, ranging from active pharmaceutical ingredients to materials for cleantech. Yet we are still
Noise2Context: Context-assisted Learning 3D Thin-layer Low Dose CT Without Clean Data. (arXiv:2011.12525v1 [eess.IV])
Computed tomography (CT) has played a vital role in medical diagnosis, assessment, and therapy planning, etc. In clinical practice, concerns about the increase of X-ray radiation exposure attract more and
