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Integrating Neural Networks and constitutive material modeling for recycled polymer blend mechanics
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- Journal Article
- A1
- open access
Untapped potential of recycled thermoplastic blends in UD composites via finite element analysis
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- Journal Article
- A1
- open access
Predicting mechanical responses in polymer blends with unintended polymer fractions using an efficient neural network-based constitutive material model
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Investigating local nonlinearities in 3D printed thermoplastic lattice structures : the role of thermomechanical characterization of polymers
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- Conference Paper
- C1
- open access
Challenges and solutions to assess the real true stress–true strain response of pure and recycled polymers under large strains
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- Conference Paper
- C1
- open access
A physical-informed FE-NN methodology for predicting highly nonlinear thermomechanical response of thermoset and thermoplastic polymers
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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