January 18, 2024
Kayla joined our group as an undergraduate research assistant. Welcome!
January 16, 2024
Our collaborative paper entitled “Physics guided heat source for quantitative prediction of IN718 laser additive manufacturing processes” has been accepted for publication in npj Computational Materials.
November 6, 2023
Our paper entitled “Convolution finite element based digital image correlation for displacement and strain measurements” has been accepted for publication in Computer Methods in Applied Mechanics and Engineering.
October 30, 2023
Dr. Lu gave a talk at the ASME’s International Mechanical Engineering Congress & Exposition (IMECE) about the recent work on Convolution Finite Element (C-FE) method for Digital Image Correlation.
October 23, 2023
Dr. Lu gave a talk at the ACM 2023 about the recent work on Convolution Hierarchical Deep-learning Neural Network (C-HiDeNN) methods.
October 16, 2023
Our paper entitled “Extended tensor decomposition model reduction methods: Training, prediction, and design under uncertainty” has been accepted for publication in Computer Methods in Applied Mechanics and Engineering.
October 1, 2023
Andrew joined our group as a research assistant. Welcome!
July 24, 2023
Dr. Lu gave a talk at the U.S. National Congress on Computational Mechanics about the recent work on Convolution Tensor Decomposition (C-TD) method for Additive Manufacturing.
May 5, 2023
Our group received the Strategic Awards for Research Transitions (START) award from the Office of Research & Creative Achievement at UMBC.
March 30, 2023
Our paper entitled “Convolution Hierarchical Deep-learning Neural Networks (C-HiDeNN): finite elements, isogeometric analysis, tensor decomposition, and beyond” has been accepted for publication in Computational Mechanics.
February 24, 2023
Chaoqian joined our group as a research assistant. Welcome!
December 1, 2022
Dr. Lu joined UMBC as an assistant professor.