3 citations · 5 across the 9 of their papers we have counts for
9 papers
A Structure-Exploiting Implicit-Explicit Trust Region Method for Computing Second-Order Stationary Points of the Landau-Brazovskii Model
Chenglong Bao, Kai Deng, Kai Jiang +1
This work focuses on the reliable computation of second-order stationary points in the high-dimensional nonconvex energy landscape of the Landau-Brazovskii (LB) model, a fundamenta…
Prediction of A15 Tilt Grain Boundary Structures
Wenwen Zou, Zihan Su, Juan Zhang +1
In this work, we present a theoretical method to predict all coincidence site lattice (CSL) tilt grain boundaries (GBs) in A15, especially high- CSL GBs. This method includes a…
Quasiperiodic [110] Symmetric Tilt FCC Grain Boundaries
Wenwen Zou, Juan Zhang, Jie Xu +1
In this work, we investigate [110] symmetric tilt FCC grain boundaries (GBs) by a recently developed approach for quasiperiodic interfaces using the Landau-Brazovskii model. On spe…
Irrational-window-filter projection method and application to quasiperiodic Schrödinger eigenproblems
Kai Jiang, Xueyang Li, Yao Ma +3
In this paper, we propose a new algorithm, the irrational-window-filter projection method (IWFPM), for quasiperiodic systems with concentrated spectral point distribution. Based on…
High-accuracy numerical methods and convergence analysis for Schrödinger equation with incommensurate potentials
Kai Jiang, Shifeng Li, Juan Zhang
Numerical solving the Schrödinger equation with incommensurate potentials presents a great challenge since its solutions could be space-filling quasiperiodic structures without tra…
Multitask kernel-learning parameter prediction method for solving time-dependent linear systems
Kai Jiang, Juan Zhang, Qi Zhou
Matrix splitting iteration methods play a vital role in solving large sparse linear systems. Their performance heavily depends on the splitting parameters, however, the approach of…
A general alternating-direction implicit framework with Gaussian process regression parameter prediction for large sparse linear systems
Kai Jiang, Xuehong Su, Juan Zhang
This paper proposes an efficient general alternating-direction implicit (GADI) framework for solving large sparse linear systems. The convergence property of the GADI framework is…
Two efficient block preconditioners for the mass-conserved Ohta-Kawasaki equation
Juan Zhang, Shifeng Li, Kai Jiang
In this paper, we propose two efficient block preconditioners to solve the mass-conserved Ohta-Kawasaki equation with finite element discretization. We also study the spectral dist…
Self-Assembly of Asymmetrically Interacting ABC Star Triblock Copolymer Melts
Kai Jiang, Juan Zhang, Qin Liang
The phase behavior of asymmetrically interacting ABC star triblock copolymer melts is investigated by the self-consistent field theory (SCFT). Motivated by the experimental systems…