Zobrazeno 1 - 10
of 169 323
pro vyhledávání: '"field model"'
We investigate a new phase field model for representing non-oriented interfaces, approximating their area and simulating their area-minimizing flow. Our contribution is related to the approach proposed in arXiv:2105.09627 that involves ad hoc neural
Externí odkaz:
http://arxiv.org/abs/2412.15926
A phase-field model for three-phase flows is established by combining the Navier-Stokes (NS) and the energy equations, with the Allen-Cahn (AC) and Cahn-Hilliard (CH) equations and is demonstrated analytically to satisfy the energy dissipation law. A
Externí odkaz:
http://arxiv.org/abs/2412.16841
We present a scalable machine learning (ML) framework for large-scale kinetic Monte Carlo (kMC) simulations of itinerant electron Ising systems. As the effective interactions between Ising spins in such itinerant magnets are mediated by conducting el
Externí odkaz:
http://arxiv.org/abs/2411.19780
Autor:
Chen, Zhaoyu1,2 (AUTHOR) chenzhaoyu21@mails.ucas.ac.cn, Liu, Qiankun1 (AUTHOR) liuqiankun@nssc.ac.cn, Xu, Ke1 (AUTHOR) liuxiaoyang22@mails.ucas.ac.cn, Liu, Xiaoyang1,2 (AUTHOR)
Publikováno v:
Remote Sensing. Nov2024, Vol. 16 Issue 21, p4107. 15p.
Using a regularized delta function to distribute surfactant interfacial concentration can simplify the computation of the surface gradient operator $\nabla_s$, enabling the phase-field model to effectively simulate Marangoni flows involving surfactan
Externí odkaz:
http://arxiv.org/abs/2409.19374
Choosing the correct free energy functional is critical when developing thermodynamically-consistent phase field models. We show that the grand-potential phase field model minimizes the Helmholtz free energy. While both functionals are at a minimum a
Externí odkaz:
http://arxiv.org/abs/2409.18864
Autor:
Claussen, Nikolas H., Brauns, Fridtjof
Animal morphogenesis often involves significant shape changes of epithelial tissue sheets. Great progress has been made in understanding the underlying cellular driving forces and their coordination through biomechanical feedback loops. However, quan
Externí odkaz:
http://arxiv.org/abs/2409.13129
An appropriate description of the lithiation/delithiation dynamics in bi-phasic primary cathode particles of Li-ion batteries requires an accurate treatment of the conditions holding at the interface between the particle and the surrounding liquid el
Externí odkaz:
http://arxiv.org/abs/2410.22970
With the development of ferroelectric memories, it is becoming increasingly important to understand the ferroelectric switching behaviors at small applied electric fields. In this letter, we use a discretized phase-field model to systematically inves
Externí odkaz:
http://arxiv.org/abs/2409.12496
Physics-informed neural networks (PINNs) are an emerging technique to solve partial differential equations (PDEs). In this work, we propose a simple but effective PINN approach for the phase-field model of ferroelectric microstructure evolution. This
Externí odkaz:
http://arxiv.org/abs/2409.02959