From enhanced sampling to reaction profilesThe determination of efficient collective variables is crucial to the success of many enhanced sampling methods. As inspired by previous discrimination approaches, we first collect a set of data from…Enrico Trizio, Michele Parrinello·Jul 12, 2021SaveLearn
Unified gas-kinetic wave-particle methods VI: Disperse dilute gas-particle multiphase flowIn this paper, a unified gas-kinetic wave-particle scheme (UGKWP) for the disperse dilute gas-particle multiphase flow is proposed. The gas phase is always in the hydrodynamic regime. However, the…Xiaojian Yang, Chang Liu, Xing Ji et al.·Jul 11, 2021SaveLearn
Exponential and Weibull models for spherical and spherical-shell diffusion-controlled release systems with semi-absorbing boundariesWe consider the classical problem of particle diffusion in d-dimensional radially-symmetric systems with absorbing boundaries. A key quantity to characterise such diffusive transport is the…Elliot J. Carr·Jul 10, 2021SaveLearn
COMSOL implementation of the H-φ-formulation with thin cuts for modeling superconductors with transport currentsDespite the acclaimed success of the magnetic field (H) formulation for modeling the electromagnetic behavior of superconductors with the finite element method, the use of vector-dependent variables…Alexandre Arsenault, Bruno de Sousa Alves, Frédéric Sirois·Jul 9, 2021SaveLearn
A computational framework for rheologically complex thermo-visco-elastic materialsFractional calculus has been proved to be very effective in representing the visco-elastic relaxation response of materials with memory such as polymers. Moreover, in modelling the temperature…Pietro Lenarda, Marco Paggi·Jul 9, 2021SaveLearn
Equation of state driven radiative models for simulation of lightning strikesThis work is concerned with the numerical simulation of plasma arc interaction with aerospace substrates under conditions akin to lightning strike and in particular with the accurate calculation of…M. Apsley, S. T. Millmore, N. Nikiforakis·Jul 8, 2021SaveLearn
Deep learning the slow modes for rare events samplingThe development of enhanced sampling methods has greatly extended the scope of atomistic simulations, allowing long-time phenomena to be studied with accessible computational resources. Many such…Luigi Bonati, GiovanniMaria Piccini, Michele Parrinello·Jul 8, 2021SaveLearn
A Batched GPU Methodology for Numerical Solutions of Partial Differential EquationsIn this paper we present a methodology for data accesses when solving batches of Tridiagonal and Pentadiagonal matrices that all share the same left-hand-side (LHS) matrix. The intended application…Enda Carroll, Andrew Gloster, Miguel D. Bustamante et al.·Jul 8, 2021SaveLearn
Advances in multiscale modeling for novel and emerging technologiesComputational multiscale modeling encompasses a wide range of end-products and a great number of technological applications. This paper provides an overview of the computational multiscale modeling…Alexey V. Verkhovtsev, Ilia A. Solov'yov, Andrey V. Solov'yov·Jul 8, 2021SaveLearn
Improved Methods for Mixing-Limited Spray ModelingThe realization that interfacial features play little role in diesel spray vaporization and advection has changed the modus operandi for spray modeling. Lagrangian particle tracking has typically…Majid Haghshenas, Peetak P. Mitra, Chu Wang et al.·Jul 7, 2021SaveLearn
The Eulerian Lagrangian Mixing-Oriented (ELMO) ModelPast Lagrangian/Eulerian modeling has served as a poor match for the mixing limited physics present in many sprays. Though these Lagrangian/Eulerian methods are popular for their low cost, they are…David P. Schmidt, Majid Haghshenas, Peetak P. Mitra et al.·Jul 7, 2021SaveLearn
Quantum-based Molecular Dynamics Simulations Using Tensor CoresTensor cores, along with tensor processing units, represent a new form of hardware acceleration specifically designed for deep neural network calculations in artificial intelligence applications.…Joshua Finkelstein, Justin S. Smith, Susan M. Mniszewski et al.·Jul 6, 2021SaveLearn
Accelerated identification of equilibrium structures of multicomponent inorganic crystals using machine learning potentialsThe discovery of new multicomponent inorganic compounds can provide direct solutions to many scientific and engineering challenges, yet the vast size of the uncharted material space dwarfs current…Sungwoo Kang, Wonseok Jeong, Changho Hong et al.·Jul 6, 2021SaveLearn
Radiation and Scattering of EM Waves in Large Plasmas Around Objects in Hypersonic FlightHypersonic flight regime is conventionally defined for Mach larger than 5; in these conditions, the flying object becomes enveloped in a plasma. This plasma is densest in thin surface layers, but in…A. Scarabosio, J. L. Araque Quijano, J. Tobon et al.·Jul 6, 2021SaveLearn
DP Compress: a Model Compression Scheme for Generating Efficient Deep Potential ModelsMachine-learning-based interatomic potential energy surface (PES) models are revolutionizing the field of molecular modeling. However, although much faster than electronic structure schemes, these…Denghui Lu, Wanrun Jiang, Yixiao Chen et al.·Jul 5, 2021SaveLearn
Comparison of magnetic vector and total scalar potential formulations for finite-element modeling of dipole magnet with COMSOL MultiphysicsFinite-element simulations of magnetostatic fields are performed in terms of magnetic vector and total scalar potentials and compared for purpose of modeling the accelerator magnets. The potentials…Alexander Chervyakov·Jul 5, 2021SaveLearn
Machine learning enabled fast evaluation of dynamic aperture for storage ring acceleratorsFor any storage ring-based large-scale scientific facility, one of the most important performance parameters is the dynamic aperture (DA), which measures the motion stability of charged particles in…Jinyu Wan, Yi Jiao·Jul 5, 2021SaveLearn
Solving the Eikonal equation for compressional and shear waves in anisotropic media using peridynamic differential operatorThe traveltime of compressional (P) and shear (S) waves have proven essential in many applications of earthquake and exploration seismology. An accurate and efficient traveltime computation for P and…Ali Can Bekar, Erdogan Madenci, Ehsan Haghighat et al.·Jul 2, 2021SaveLearn
MagTense: a micromagnetic framework using the analytical demagnetization tensorWe present the open source micromagnetic framework, MagTense, which utilizes a novel discretization approach of rectangular cuboid or tetrahedron geometry "tiles" to analytically calculate the…R. Bjørk, E. B. Poulsen, K. K. Nielsen et al.·Jul 2, 2021SaveLearn
Quantum spin solver near saturation: QS3~We develop a program package named QS3 [kj\'u:-\'es-kj\'u:b] based on the (thick-restart) Lanczos method for analyzing spin-1/2 XXZ-type quantum spin models on spatially…Hiroshi Ueda, Seiji Yunoki, Tokuro Shimokawa·Jul 2, 2021SaveLearn
Data-driven simulation and characterisation of gold nanoparticle meltingThe simulation and analysis of the thermal stability of nanoparticles, a stepping stone towards their application in technological devices, require fast and accurate force fields, in conjunction with…Claudio Zeni, Kevin Rossi, Theodore Pavloudis et al.·Jul 1, 2021SaveLearn
Inverse Design of Grating Couplers Using the Policy Gradient Method from Reinforcement LearningWe present a proof-of-concept technique for the inverse design of electromagnetic devices motivated by the policy gradient method in reinforcement learning, named PHORCED (PHotonic Optimization using…Sean Hooten, Raymond G. Beausoleil, Thomas Van Vaerenbergh·Jun 30, 2021SaveLearn
A Differentiable Neural-Network Force Field for Ionic LiquidsWe present NeuralIL, a model for the potential energy of an ionic liquid that accurately reproduces first-principles results with orders-of-magnitude savings in computational cost. Based on a…Hadrián Montes-Campos, Jesús Carrete, Sebastian Bichelmaier et al.·Jun 30, 2021SaveLearn
Increasing stable time-step sizes of the free-surface problem arising in ice-sheet simulationsNumerical models for predicting future ice-mass loss of the Antarctic and Greenland ice sheet requires accurately representing their dynamics. Unfortunately, ice-sheet models suffer from a very…André Löfgren, Josefin Ahlkrona, Christian Helanow·Jun 30, 2021SaveLearn
Towards targeted kinetic trapping of organic-inorganic interfaces: A computational case studyProperties of inorganic-organic interfaces, such as their interface dipole, strongly depend on the structural arrangements of the organic molecules. A prime example is tetracyanoethylene (TCNE) on…Anna Werkovits, Andreas Jeindl, Lukas Hörmann et al.·Jun 30, 2021SaveLearn