Machine Learning Based Deformation And Damage Modeling Professors in Global

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Akke Suiker
Eindhoven University of Technology Belgium
multi-physics modeling
deformation behavior of materials
multi-scale modeling
failure modeling
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Ayhan Ince
Concordia University Canada
machine learning-based deformation and damage modeling
peridynamics-based damage approaches
computational modeling in fatigue and fracture
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Clemens Gühmann
Technical University of Berlin Germany
data-based modelling
physics-based modelling
machine learning
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Somnath Ghosh
Johns Hopkins University United States of America
multi-physics modeling
machine learning
multiscale modeling
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Mohsen Mirkhalaf
University of Gothenburg Sweden
physics-based modeling
micromechanical multi-scale modeling
machine learning
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Federico Bocci
Radboud University Netherlands
mathematical modeling
machine learning
biophysical modeling
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Cemal Erdem
Umeå University Sweden
mathematical modeling
machine learning
large-scale mechanistic modelling
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Sifat Muin
University of Southern California United States of America
response-based damage detection
machine learning
disaster resilience modeling
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Arson Lab
Cornell University Netherlands
multi-scale modeling
damage mechanics
numerical modeling
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Jacqueline Noder
University of British Columbia Canada
multi-scale modeling
machine learning
plasticity modeling
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Tilda Herrgårdh
Linköping University Sweden
machine learning
mathematical modelling
mechanistic models
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Junyao Xie
University of Guelph Canada
machine learning
physics-informed machine learning
dynamic modeling
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Jian Cao
Northwestern University United States of America
deformation-based processes
machine learning in manufacturing
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Alpaslan Duysak
Texas A&M University United States of America
deformation algorithms
machine learning
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Arman Khoshghalb
University of New South Wales Australia
large deformation modeling
numerical modeling
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Sid Kumar
Delft University of Technology Netherlands
material deformation
machine learning
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Robert Gracie
University of Waterloo Canada
deformation
computer modelling
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Xiaoyue Ni
Duke University Singapore
deformation physics
machine learning
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Kaan Inal
University of Waterloo Canada
micromechanics deformation
localized deformation phenomena
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Xiaoyue Ni
Duke University Singapore
deformation physics
machine learning
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Laurens Howle
Duke University Singapore
hydroelastic modeling of deformable structures
machine learning
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