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Multiscale Analysis for Dynamic Contact Angle Hysteresis on Rough Surfaces 粗糙表面动态接触角滞后的多尺度分析
Pub Date : 2023-03-30 DOI: 10.1137/22m1504603
Si Xiao, Xianmin Xu, Zhen Zhang
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引用次数: 1
Metropolis Crystal Surface Dynamics in the Rough Scaling Limit: From Local Equilibrium to Semi-Empirical PDE 粗糙标度极限下的大都市晶体表面动力学:从局部平衡到半经验PDE
Pub Date : 2023-03-15 DOI: 10.1137/22m1500472
A. Katsevich
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引用次数: 0
QM/MM Methods for Crystalline Defects. Part 3: Machine-Learned MM Models 晶体缺陷的QM/MM方法。第3部分:机器学习MM模型
Pub Date : 2022-12-20 DOI: 10.1137/21m1441122
Huajie Chen, C. Ortner, Yangshuai Wang
We develop and analyze a framework for consistent QM/MM (quantum/classic) hybrid models of crystalline defects, which admits general atomistic interactions including traditional off-the-shell interatomic potentials as well as state of art “machine-learned interatomic potentials”. We (i) establish an a priori error estimate for the QM/MM approximations in terms of matching conditions between the MM and QM models, and (ii) demonstrate how to use these matching conditions to construct pracical machine learned MM potentials specifically for QM/MM simulations.
我们开发并分析了晶体缺陷的一致QM/MM(量子/经典)混合模型的框架,该模型承认一般的原子相互作用,包括传统的脱壳原子相互作用势以及最先进的“机器学习原子相互作用势”。我们(i)根据MM和QM模型之间的匹配条件建立了QM/MM近似的先验误差估计,并且(ii)演示了如何使用这些匹配条件构建专门用于QM/MM模拟的实际机器学习MM势。
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引用次数: 19
A Diffuse-Domain Phase-Field Lattice Boltzmann Method for Two-Phase Flows in Complex Geometries 复杂几何两相流的扩散域相场晶格玻尔兹曼方法
Pub Date : 2022-12-05 DOI: 10.1137/22m1475120
Xi Liu, Z. Chai, C. Zhan, B. Shi, Wenhuan Zhang
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引用次数: 4
Homogenization of the Stokes System in a Domain with an Oscillating Boundary 具有振荡边界域上Stokes系统的均匀化
Pub Date : 2022-12-05 DOI: 10.1137/22m1474345
T. Muthukumar, Sankar Kasinathan
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引用次数: 0
Trapping of Planar Brownian Motion: Full First Passage Time Distributions by Kinetic Monte Carlo, Asymptotic, and Boundary Integral Methods 平面布朗运动的俘获:动力学蒙特卡罗、渐近和边界积分方法的完全第一通过时间分布
Pub Date : 2022-11-18 DOI: 10.1137/21m146380x
Jake Cherry, A. Lindsay, Adrian Navarro Hernandez, B. Quaife
{"title":"Trapping of Planar Brownian Motion: Full First Passage Time Distributions by Kinetic Monte Carlo, Asymptotic, and Boundary Integral Methods","authors":"Jake Cherry, A. Lindsay, Adrian Navarro Hernandez, B. Quaife","doi":"10.1137/21m146380x","DOIUrl":"https://doi.org/10.1137/21m146380x","url":null,"abstract":"","PeriodicalId":313703,"journal":{"name":"Multiscale Model. Simul.","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114835242","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Fast Butterfly-compressed Hadamard-Babich Integrator for High-Frequency Helmholtz Equations in Inhomogeneous Media with Arbitrary Sources 非齐次介质中高频Helmholtz方程的快速蝴蝶压缩Hadamard-Babich积分器
Pub Date : 2022-10-06 DOI: 10.48550/arXiv.2210.02698
Yang Liu, Jian Song, R. Burridge, J. Qian
We present a butterfly-compressed representation of the Hadamard-Babich (HB) ansatz for the Green's function of the high-frequency Helmholtz equation in smooth inhomogeneous media. For a computational domain discretized with $N_v$ discretization cells, the proposed algorithm first solves and tabulates the phase and HB coefficients via eikonal and transport equations with observation points and point sources located at the Chebyshev nodes using a set of much coarser computation grids, and then butterfly compresses the resulting HB interactions from all $N_v$ cell centers to each other. The overall CPU time and memory requirement scale as $O(N_vlog^2N_v)$ for any bounded 2D domains with arbitrary excitation sources. A direct extension of this scheme to bounded 3D domains yields an $O(N_v^{4/3})$ CPU complexity, which can be further reduced to quasi-linear complexities with proposed remedies. The scheme can also efficiently handle scattering problems involving inclusions in inhomogeneous media. Although the current construction of our HB integrator does not accommodate caustics, the resulting HB integrator itself can be applied to certain sources, such as concave-shaped sources, to produce caustic effects. Compared to finite-difference frequency-domain (FDFD) methods, the proposed HB integrator is free of numerical dispersion and requires fewer discretization points per wavelength. As a result, it can solve wave-propagation problems well beyond the capability of existing solvers. Remarkably, the proposed scheme can accurately model wave propagation in 2D domains with 640 wavelengths per direction and in 3D domains with 54 wavelengths per direction on a state-the-art supercomputer at Lawrence Berkeley National Laboratory.
我们提出了光滑非齐次介质中高频亥姆霍兹方程格林函数的Hadamard-Babich (HB) ansatz的蝴蝶压缩表示。对于由$N_v$离散化单元离散的计算域,该算法首先利用一组更粗的计算网格,利用位于Chebyshev节点上的观测点和点源的正交方程和输运方程求解相位和HB系数并制表,然后将所得HB相互作用从所有$N_v$单元中心蝴蝶压缩到彼此。对于具有任意激励源的任何有界二维域,总体CPU时间和内存需求规模为$O(N_vlog^2N_v)$。将该方案直接推广到有界三维域,可以得到$O(N_v^{4/3})$ CPU复杂度,通过提出的补救措施可以进一步降低到拟线性复杂度。该方法还能有效地处理非均匀介质中夹杂物的散射问题。虽然我们的HB积分器目前的结构不能容纳焦散,但由此产生的HB积分器本身可以应用于某些源,例如凹形源,以产生焦散效应。与有限差分频域(FDFD)方法相比,所提出的HB积分器没有数值色散,并且每个波长需要较少的离散点。因此,它可以解决的波传播问题远远超出现有的解决方案的能力。值得注意的是,所提出的方案可以在劳伦斯伯克利国家实验室的最先进的超级计算机上准确地模拟每个方向640个波长的二维域和每个方向54个波长的三维域的波传播。
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引用次数: 2
Geometric Evolution of Bilayers under the Degenerate Functionalized Cahn-Hilliard Equation 退化泛函Cahn-Hilliard方程下双层结构的几何演化
Pub Date : 2022-09-30 DOI: 10.1137/21m1467791
Shibin Dai, Toai Luong, Xiang Ma
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引用次数: 0
Hyperbolic Systems of Moment Equations Describing Sedimentation in Suspensions of Rod-Like Particles 描述棒状颗粒悬浮液中沉降的力矩方程双曲系统
Pub Date : 2022-09-27 DOI: 10.1137/21m1464592
Sina Dahm, Christiane Helzel
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引用次数: 0
High Order Topological Asymptotics: Reconciling Layer Potentials and Compound Asymptotic Expansions 高阶拓扑渐近:调和层势与复合渐近展开
Pub Date : 2022-09-19 DOI: 10.1137/21m1461277
F. Feppon, H. Ammari
{"title":"High Order Topological Asymptotics: Reconciling Layer Potentials and Compound Asymptotic Expansions","authors":"F. Feppon, H. Ammari","doi":"10.1137/21m1461277","DOIUrl":"https://doi.org/10.1137/21m1461277","url":null,"abstract":"","PeriodicalId":313703,"journal":{"name":"Multiscale Model. Simul.","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126478971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
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Multiscale Model. Simul.
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