I'm postdoctoral research associate at the Sydney Centre in Gemechanics and Mining Materials (SciGEM) at The University of Sydney. My research focuses on the development of data-driven and machine learning approaches for the constitutive modeling of materials, the structural and fast-dynamic behavior of masonry structures, geomechanics and hydrodynamics.
Postdoct @ USYD and soon @ Inria: Computational Mechanics - Data-driven modelling - Fast dynamics - Structural Mechanics
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The University of Sydney
- Sydney
- https://filippo-masi.github.io/
- https://orcid.org/0000-0001-8899-6700
- @FlpMasi
Pinned Loading
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Thermodynamics-Neural-Networks
Thermodynamics-Neural-Networks PublicThermodynamics-based Artificial Neural Networks
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TANN-multiscale
TANN-multiscale PublicMultiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)
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CSMA-Workshop-in-Deep-Learning
CSMA-Workshop-in-Deep-Learning PublicCSMA Junior Workshop on Deep Learning and constitutive modeling
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h2plasticity
h2plasticity PublicImplementation of the h2 plasticity model in (Einav, 2012, I J Sol Str) of von Mises type
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hands-on-regression
hands-on-regression PublicThis repository collects the hands-on example for the ALERT Geomaterials Advanced Doctoral School on "Machine Learning (ML) in Geomechanics", September 2023.
Jupyter Notebook 2
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