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Aren Lorenson

ORCID: 0000-0003-4222-2552
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About
Contact & Profiles
A5090603207
Research Areas
  • Hydrogen embrittlement and corrosion behaviors in metals
  • Advanced Mathematical Modeling in Engineering
  • X-ray Diffraction in Crystallography
  • Fusion materials and technologies
  • Machine Learning in Materials Science
  • Nuclear Materials and Properties
  • NMR spectroscopy and applications

University of Wisconsin–Madison
 2017-2022

 Robust FCC solute diffusion predictions from ab-initio machine learning methods
OPENALEX - Publications 
Henry Wu Aren Lorenson Ben Anderson Liam Witteman Haotian Wu and 2 more Bryce Meredig Dane Morgan

10.1016/j.commatsci.2017.03.052 article EN Computational Materials Science 2017-04-07
 Machine learning predictions of irradiation embrittlement in reactor pressure vessel steels
OPENALEX - Publications 
Yuchen Liu Henry Wu Tam Mayeshiba Benjamin Afflerbach Ryan Jacobs and 16 more Josh Perry Jerit George Josh Cordell Jinyu Xia Hao Yuan Aren Lorenson Haotian Wu Matthew Parker Fenil Doshi Alexander Politowicz Linda Xiao Dane Morgan Peter Wells Nathan Almirall Takuya Yamamoto G.R. Odette

Abstract Irradiation increases the yield stress and embrittles light water reactor (LWR) pressure vessel steels. In this study, we demonstrate some of potential benefits risks using machine learning models to predict irradiation hardening extrapolated low flux, high fluence, extended life conditions. The training data included Variable for lower flux irradiations up an intermediate plus Belgian Reactor 2 Advanced Test 1 very irradiations, fluence. Notably, model predictions are superior...

10.1038/s41524-022-00760-4 article EN cc-by npj Computational Materials 2022-04-27
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