Coherent Structures in Nonlocal Dispersive Active-Dissipative Systems. - Te-Sheng Lin; Marc Pradas; Serafim Kalliadasis; Demetrios T. Papageorgiou; Dmitri Tseluiko (SIAM J. Appl. Math., 2015)

Continuation methods for time-periodic travelling-wave solutions to evolution equations. - Te-Sheng Lin; Dmitri Tseluiko; Mark G. Blyth; Serafim Kalliadasis (Appl. Math. Lett., 2018)

Augmenting Operating Systems with OpenCL Accelerators. - Chia-Heng Tu; Te-Sheng Lin (ACM Trans. Design Autom. Electr. Syst., 2019)

A direct Poisson solver in spherical geometry with an application to diffusiophoretic problems. - Te-Sheng Lin; Wei-Fan Hu; Chaouqi Misbah (J. Comput. Phys., 2020)

A shallow physics-informed neural network for solving partial differential equations on surfaces. - Wei-Fan Hu; Yi-Jun Shih; Te-Sheng Lin; Ming-Chih Lai (CoRR, 2022)

A hybrid neural-network and finite-difference method for solving Poisson equation with jump discontinuities on interfaces. - Wei-Fan Hu; Te-Sheng Lin; Yu-Hau Tseng; Ming-Chih Lai (CoRR, 2022)

A discontinuity capturing shallow neural network for elliptic interface problems. - Wei-Fan Hu; Te-Sheng Lin; Ming-Chih Lai (J. Comput. Phys., 2022)

A shallow Ritz method for elliptic problems with singular sources. - Ming-Chih Lai; Che-Chia Chang; Wei-Syuan Lin; Wei-Fan Hu; Te-Sheng Lin (J. Comput. Phys., 2022)

A convergent hybrid neural network and finite difference scheme for Stokes interface problems. - Che-Chia Chang; Chen-Yang Dai; Wei-Fan Hu; Te-Sheng Lin; Ming-Chih Lai (CoRR, 2023)

A cusp-capturing PINN for elliptic interface problems. - Yu-Hau Tseng; Te-Sheng Lin; Wei-Fan Hu; Ming-Chih Lai (J. Comput. Phys., 2023)

Consistency Training with Physical Constraints. - Che-Chia Chang; Chen-Yang Dai; Te-Sheng Lin; Ming-Chih Lai; Chieh-Hsin Lai (CoRR, 2025)

A discontinuity-capturing neural network with categorical embedding and its application to anisotropic elliptic interface problems. - Wei-Fan Hu; Te-Sheng Lin; Ming-Chih Lai (CoRR, 2025)