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A physical-informed FE-NN methodology for predicting highly nonlinear thermomechanical response of thermoset and thermoplastic polymers
(2024) The 9th European Congress on Computational Methods in Applied Sciences and Engineering. Machine learning and data-driven approaches for optimization and uncertainty quantification in aerodynamics, 2024. -
Advanced characterization and thermomechanical modeling of PP/PE blends for innovations in recycled composites
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- Journal Article
- A1
- open access
Advancing the characterization of recycled polyolefin blends with a combined experimental and numerical approach to thermomechanical behavior
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Towards a digital design for advanced and effective composite-engineered vehicles
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Design of high-performance composites via 'self-constructible finite element material library' driven by reinforcement-based machine learning
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Multiscale modelling of rate- and temperature-dependence for unidirectional thermoplastic composites
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- Journal Article
- A1
- open access
Incremental design process for vehicle structural components using thermoplastic-based composites : a simulation-guided approach for door anti-intrusion beams
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- Journal Article
- A1
- open access
Constitutive recasting of macromolecular-based thermoviscoplasticity as yield function-based formulation
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- Journal Article
- A1
- open access
Characterizing pure polymers under high speed compression for the micromechanical prediction of unidirectional composites
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- Journal Article
- A1
- open access
Direct embedment of RVE-based microscale into lab size coupons to research fracture process in unidirectional and bidirectional composites