Numerical methods for nonlocal and fractional models

M D'Elia, Q Du, C Glusa, M Gunzburger, X Tian… - Acta Numerica, 2020 - cambridge.org
Partial differential equations (PDEs) are used with huge success to model phenomena
across all scientific and engineering disciplines. However, across an equally wide swath …

Maximum bound principles for a class of semilinear parabolic equations and exponential time-differencing schemes

Q Du, L Ju, X Li, Z Qiao - SIAM Review, 2021 - SIAM
The ubiquity of semilinear parabolic equations is clear from their numerous applications
ranging from physics and biology to materials and social sciences. In this paper, we …

[HTML][HTML] Accelerating phase-field-based microstructure evolution predictions via surrogate models trained by machine learning methods

D Montes de Oca Zapiain, JA Stewart… - npj Computational …, 2021 - nature.com
The phase-field method is a powerful and versatile computational approach for modeling the
evolution of microstructures and associated properties for a wide variety of physical …

[HTML][HTML] Accelerating phase-field predictions via recurrent neural networks learning the microstructure evolution in latent space

C Hu, S Martin, R Dingreville - Computer Methods in Applied Mechanics …, 2022 - Elsevier
The phase-field method is a popular modeling technique used to describe the dynamics of
microstructures and their physical properties at the mesoscale. However, because in these …

A new Lagrange multiplier approach for gradient flows

Q Cheng, C Liu, J Shen - Computer Methods in Applied Mechanics and …, 2020 - Elsevier
We propose a new Lagrange multiplier approach to design unconditional energy stable
schemes for gradient flows. The new approach leads to unconditionally energy stable …

[HTML][HTML] Some recent advances in energetic variational approaches

Y Wang, C Liu - Entropy, 2022 - mdpi.com
In this paper, we summarize some recent advances related to the energetic variational
approach (EnVarA), a general variational framework of building thermodynamically …

A generalized SAV approach with relaxation for dissipative systems

Y Zhang, J Shen - Journal of Computational Physics, 2022 - Elsevier
The scalar auxiliary variable (SAV) approach [31] and its generalized version GSAV
proposed in [20] are very popular methods to construct efficient and accurate energy stable …

The IEQ and SAV approaches and their extensions for a class of highly nonlinear gradient flow systems

J Shen, X Yang - Contemp. Math, 2020 - books.google.com
The invariant energy quadratization (IEQ) and scalar auxiliary variable (SAV) approaches
are two recently proposed methods to develop linear and unconditionally energy stable …

Time-fractional Allen–Cahn equations: analysis and numerical methods

Q Du, J Yang, Z Zhou - Journal of Scientific Computing, 2020 - Springer
In this work, we consider a time-fractional Allen–Cahn equation, where the conventional first
order time derivative is replaced by a Caputo fractional derivative with order α ∈ (0, 1) …

Modelling and computation of liquid crystals

W Wang, L Zhang, P Zhang - Acta Numerica, 2021 - cambridge.org
Liquid crystals are a type of soft matter that is intermediate between crystalline solids and
isotropic fluids. The study of liquid crystals has made tremendous progress over the past four …