Yanlai Chen
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About
Professor Yanlai Chen is a faculty member at the University of Massachusetts Dartmouth, USA. His research focuses on advanced computational methods in applied mathematics, particularly in nonlinear model reduction and physics-informed neural networks. Recent articles include work on generative pre-trained networks and hyper-reduced methods for solving parametric partial differential equations. Professor Chen applies innovative techniques such as adaptive greedy algorithms and over collocation to enhance model efficiency and accuracy.
Recent Grants
Grant: Close
Implementation of a Contextualized Computing Pedagogy in STEM Core Courses and Its Impact on Undergraduate Student Academic Success, Retention, and Graduation
Open Date: 2020-09-01
Close Date: 2025-08-31
Grant: Close
Rigorous Development of an Efficient Reduced Collocation Approach for High-Dimensional Parametric Partial Differential Equations
Open Date: 2017-08-01
Close Date: 2021-07-31
Grant: Close
Workshop: Recent Advances and Challenges in Discontinuous Galerkin Methods and Related Approaches
Open Date: 2017-06-01
Close Date: 2018-05-31
Grant: Close
Developing reduced basis methods for Galerkin and Collocation framework
Open Date: 2012-08-01
Close Date: 2016-07-31
Articles (6)
Year:
2024
Year:
2024
Year:
2022
Year:
2021
Year:
2021
Year:
2020
Collaborators (2)
ZHU WANG
University of South Carolina
Sigal Gottlieb
Professor
University of Massachusetts Dartmouth
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