Yanlai Chen

Yanlai Chen

University of Massachusetts Dartmouth

H-index: 15

North America-United States

About Yanlai Chen

Yanlai Chen, With an exceptional h-index of 15 and a recent h-index of 12 (since 2020), a distinguished researcher at University of Massachusetts Dartmouth, specializes in the field of Scientific Computing, Numerical Analysis, Reduced Basis Method, Discontinuous Galerkin Finite Element Method, Adaptivity.

His recent articles reflect a diverse array of research interests and contributions to the field:

A micro-macro decomposed reduced basis method for the time-dependent radiative transfer equation

TGPT-PINN: Nonlinear model reduction with transformed GPT-PINNs

Gpt-pinn: Generative pre-trained physics-informed neural networks toward non-intrusive meta-learning of parametric pdes

MCMS-RBM: Multi-Component Multi-State Reduced Basis Method toward Efficient Transition Pathway Identification for Crystals and Quasicrystals

A reduced basis warm-start iterative solver for the parameterized systems

A new conservative discontinuous Galerkin method via implicit penalization for the generalized Korteweg–de Vries equation

A hyper-reduced MAC scheme for the parametric Stokes and Navier-Stokes equations

A reduced basis method for radiative transfer equation

Yanlai Chen Information

University

Position

Associate Professor of Mathematics

Citations(all)

862

Citations(since 2020)

423

Cited By

635

hIndex(all)

15

hIndex(since 2020)

12

i10Index(all)

22

i10Index(since 2020)

16

Email

University Profile Page

Google Scholar

Yanlai Chen Skills & Research Interests

Scientific Computing

Numerical Analysis

Reduced Basis Method

Discontinuous Galerkin Finite Element Method

Adaptivity

Top articles of Yanlai Chen

Title

Journal

Author(s)

Publication Date

A micro-macro decomposed reduced basis method for the time-dependent radiative transfer equation

Multiscale Modeling & Simulation

Zhichao Peng

Yanlai Chen

Yingda Cheng

Fengyan Li

2024/3/31

TGPT-PINN: Nonlinear model reduction with transformed GPT-PINNs

arXiv preprint arXiv:2403.03459

Yanlai Chen

Yajie Ji

Akil Narayan

Zhenli Xu

2024/3/6

Gpt-pinn: Generative pre-trained physics-informed neural networks toward non-intrusive meta-learning of parametric pdes

Finite Elements in Analysis and Design

Yanlai Chen

Shawn Koohy

2024/1/1

MCMS-RBM: Multi-Component Multi-State Reduced Basis Method toward Efficient Transition Pathway Identification for Crystals and Quasicrystals

arXiv preprint arXiv:2308.15195

Yajie Ji

Lijie Ji

Yanlai Chen

Zhenli Xu

2023/8/29

A reduced basis warm-start iterative solver for the parameterized systems

arXiv preprint arXiv:2311.13862

Shijin Hou

Yanlai Chen

Yinhua Xia

2023/11/23

A new conservative discontinuous Galerkin method via implicit penalization for the generalized Korteweg–de Vries equation

SIAM Journal on Numerical Analysis

Yanlai Chen

Bo Dong

Rebecca Pereira

2022/12/31

A hyper-reduced MAC scheme for the parametric Stokes and Navier-Stokes equations

Journal of Computational Physics

Yanlai Chen

Lijie Ji

Zhu Wang

2022/10/1

A reduced basis method for radiative transfer equation

Journal of Scientific Computing

Zhichao Peng

Yanlai Chen

Yingda Cheng

Fengyan Li

2022/4

Fast Optimal Mass Transport via Reduced Basis Methods for the Monge--Ampère Equation

SIAM Journal on Scientific Computing

Shijin Hou

Yanlai Chen

Yinhua Xia

2022

An EIM-degradation free reduced basis method via over collocation and residual hyper reduction-based error estimation

Journal of Computational Physics

Yanlai Chen

Sigal Gottlieb

Lijie Ji

Yvon Maday

2021/11/1

L1-based reduced over collocation and hyper reduction for steady state and time-dependent nonlinear equations

Journal of Scientific Computing

Yanlai Chen

Lijie Ji

Akil Narayan

Zhenli Xu

2021/4

Adaptive greedy algorithms based on parameter‐domain decomposition and reconstruction for the reduced basis method

International Journal for Numerical Methods in Engineering

Jiahua Jiang

Yanlai Chen

2020/12/15

See List of Professors in Yanlai Chen University(University of Massachusetts Dartmouth)

Co-Authors

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