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Xuejing Wang

University of Massachusetts Dartmouth


student-facilitator

HPC Experience

I have taken two HPC classes and have been presenting in the Scientific Computing, Mathematics, and Physics Research Seminar.
One of the core codes of my current research which simulate fracture behaviors of solid materials requires massive computations. I established a parallel code using Matlab which significantly reduced the computational costs.
I also built up predictive models to learn the feature-property relationship of porous materials using the Bayesian Additive Regression Tree in R-package. The predictive model works pretty well and we predict some mechanical properties of the porous materials via geometric features using the model.

Skills

arcgis
finite-element-analysis
git
materials-science
python
r

Projects

- Simulating 21st century boreal forests and fire with a state-of-the-art process-based model
US National Science Foundation logo

This material is based upon work supported by the National Science Foundation under grant numbers

1534949, 1835725, 2138286, 2303692, and 2411375.

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