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06/09/2023
A Bayesian Approach to Modeling Finite Element Discretization Error
In recent years, there has been a surge of interest in the development o...
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05/13/2022
A Graph-based probabilistic geometric deep learning framework with online physics-based corrections to predict the criticality of defects in porous materials
Stress prediction in porous materials and structures is challenging due ...
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01/12/2022
A novel hierarchical multiresolution framework using CutFEM
In this paper, we propose a robust concurrent multiscale method for cont...
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11/05/2021
Concurrent multiscale analysis without meshing: Microscale representation with CutFEM and micro/macro model blending
In this paper, we develop a novel unfitted multiscale framework that com...
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07/29/2021
Addressing materials' microstructure diversity using transfer learning
Materials' microstructures are signatures of their alloying composition ...
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12/17/2020
A Bayesian multiscale CNN framework to predict local stress fields in structures with microscale features
The purpose of this work is to train an Encoder-Decoder Convolutional Ne...
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06/26/2018
A CutFEM method for two-phase flow problems
In this article, we present a cut finite element method for two-phase Na...
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04/06/2017