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This paper outlines an energy-minimization finite-element approach to the modeling of equilibrium configurations for nematic liquid crystals in the presence of internal and external electric fields. The method targets minimization of system…

Computational Physics · Physics 2014-07-14 J. H. Adler , T. J. Atherton , T. R. Benson , D. B. Emerson , S. P. MacLachlan

The system of mixed hexagonal and square lattices on a spherical surface is examined, with an emphasis on the exploration of the disclination patterns that form in the square-rich regime. To demonstrate the possible outcomes, the Hertzian…

Soft Condensed Matter · Physics 2025-09-09 Wenyu Liu , Han Xie , Yu Du , Baohui Li , Jeff Z. Y. Chen , Yao Li

This paper investigates the relation between the boundary geometric properties and the boundary regularity of the solutions of elliptic equations. We prove by a new unified method the pointwise boundary H\"{o}lder regularity under proper…

Analysis of PDEs · Mathematics 2020-06-16 Yuanyuan Lian , Kai Zhang , Dongsheng Li , Guanghao Hong

The squared Laplace operator acting on symmetric rank-two tensor fields is studied on a (flat) Riemannian manifold with smooth boundary. Symmetry of this fourth-order elliptic operator is obtained provided that such tensor fields and their…

High Energy Physics - Theory · Physics 2007-05-23 Giampiero Esposito

We present a fully analytic approach for evaluating boundary integrals in two dimensions for Smoothed Particle Hydrodynamics (SPH). Conventional methods often rely on boundary particles or wall re-normalization approaches derived from…

Numerical Analysis · Mathematics 2025-07-30 Rene Winchenbach , Andreas Kolb

This paper studies an initial boundary value problem for the multidimensional hyperbolized compressible Navier-Stokes equations, in which the classical Newtonian law is replaced by the Maxwell law. We seek spherically symmetric solutions to…

Analysis of PDEs · Mathematics 2025-07-22 Yuxi Hu , Mengran Yuan

This study investigates the role of thermal boundary conditions on natural convection and entropy generation in non-Newtonian power-law fluids confined within a square cavity and a concentric cylindrical annulus. Steady, two-dimensional…

Fluid Dynamics · Physics 2026-05-14 Lambert Theisen , Satyvir Singh

We propose a geometric model for optimal shape-change-induced motions of slender locomotors, e.g., snakes slithering on sand. In these scenarios, the motion of a body in world coordinates is completely determined by the sequence of shapes…

Robotics · Computer Science 2026-02-13 Oliver Gross , Florine Hartwig , Martin Rumpf , Peter Schröder

The classical square well potential is smoothed with a finite range smoothing function in order to get a new simple strictly finite range form for the phenomenological nuclear potential. The smoothed square well form becomes exactly zero…

Nuclear Theory · Physics 2017-08-02 Péter Salamon , Tamás Vertse

We use analytical calculations and event-driven molecular dynamics simulations to study a small number of hard sphere particles in a spherical cavity. The cavity is taken also as the thermal bath so that the system thermalizes by collisions…

Soft Condensed Matter · Physics 2014-09-30 Ignacio Urrutia , Claudio Pastorino

We consider compressible fluid flow on an evolving surface with a piecewise Lipschitz-continuous boundary from an energetic point of view. We employ both an energetic variational approach and the first law of thermodynamics to make a…

Mathematical Physics · Physics 2022-12-20 Hajime Koba

In the present paper we describe a class of algorithms for the solution of Laplace's equation on polygonal domains with Neumann boundary conditions. It is well known that in such cases the solutions have singularities near the corners which…

Numerical Analysis · Mathematics 2020-01-16 Jeremy Hoskins , Manas Rachh

In continuing the study of harmonic mapping from 2-dimensional Riemannian simplicial complexes in order to construct minimal surfaces with singularity, we obtain an a-priori regularity result concerning the real analyticity of the free…

Differential Geometry · Mathematics 2008-09-24 Chikako Mese , Sumio Yamada

Comparison principles for Volterra equations play a role analogous to maximum principles in PDEs: they provide positivity and stability information on the solution and allow one to control the output of bounded inputs. In the continuous…

Numerical Analysis · Mathematics 2026-03-23 Thierno Mamadou Baldé , Vuk Milisic , Steffen Plunder

In this paper we prove that solutions to several shape optimization problems in the plane, with a convexity constraint on the admissible domains, are polygons. The main terms of the shape functionals we consider are either E f ($\Omega$),…

Optimization and Control · Mathematics 2023-09-19 Jimmy Lamboley , Arian Novruzi , Michel Pierre

Phase field models are widely used to describe multiphase systems. Here a smooth indicator function, called phase field, is used to describe the spatial distribution of the phases under investigation. Material properties like density or…

Numerical Analysis · Mathematics 2015-11-10 Christian Kahle

We study smoothness of generalized solutions of nonlocal elliptic problems in plane bounded domains with piecewise smooth boundary. The case where the support of nonlocal terms can intersect the boundary is considered. We find conditions…

Analysis of PDEs · Mathematics 2014-04-22 Pavel Gurevich

We consider aspects of the population dynamics, inside a bound domain, of diffusing agents carrying an attribute which is stochastically destroyed upon contact with the boundary. The normal mode analysis of the relevant Helmholtz equation…

Soft Condensed Matter · Physics 2015-05-13 Seungoh Ryu

We obtain solutions to conservation laws under any random initial conditions that are described by Gaussian stochastic processes (in some cases discretized). We analyze the generalization of Burgers' equation for a smooth flux function…

Analysis of PDEs · Mathematics 2018-05-14 Carey Caginalp

We study the optimization of non-convex functions that are not necessarily smooth (gradient and/or Hessian are Lipschitz) using first order methods. Smoothness is a restrictive assumption in machine learning in both theory and practice,…

Optimization and Control · Mathematics 2025-06-27 Daniel Yiming Cao , August Y. Chen , Karthik Sridharan , Benjamin Tang