Azadeh Sheidaei

Iowa State University — United States

Engineering · Physical Sciences

16h-index882citations43works3.82yr avg
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Research Topics

Composite Material Mechanics(6), Advanced Materials and Mechanics(6), Additive Manufacturing and 3D Printing Technologies(5), Innovations in Concrete and Construction Materials(5), Advanced Sensor and Energy Harvesting Materials(4)

Publications43 total

Generative deep learning for designing printable multifunctional microstructural materials: application to piezocomposites
Journal of the Mechanics and Physics of Solids·2025· 1 citedOpen Access
Generative Deep Learning for Designing Printable Multifunctional Microstructural Materials: Application to Piezocomposites
SSRN Electronic Journal·2025Open Access
A peridynamic-informed deep learning model for brittle damage prediction
Theoretical and Applied Fracture Mechanics·2024· 20 cited
Predicting Bone Degradation Using Vision Transformer and Synthetic Cellular Microstructures Dataset
2024Open Access
Universal Design Methodology for Printable Microstructural Materials via a New Deep Generative Learning Model: Application to a Piezocomposite
arXiv (Cornell University)·2024· 1 citedOpen Access
Enhancing the Thermal Performance of Shape Memory Polymers: Designing a Minichannel Structure
Polymers·2024· 1 citedOpen Access
Predicting Bone Degradation Using Vision Transformer and Synthetic Cellular Microstructures Dataset
arXiv (Cornell University)·2023Open Access
A peridynamic-informed deep learning model for brittle damage prediction
arXiv (Cornell University)·2023Open Access
Design of Refractory Alloys for Desired Thermal Conductivity via AI-Assisted In-Silico Microstructure Realization
Materials·2023· 9 citedOpen Access
Linking properties to microstructure in liquid metal embedded elastomers via machine learning
Computational Materials Science·2022· 8 cited
Linking Properties to Microstructure in Liquid Metal Embedded Elastomers via Machine Learning
arXiv (Cornell University)·2022Open Access
Statistical prediction of bone microstructure degradation to study patient dependency in osteoporosis
Mathematics and Mechanics of Solids·2022· 3 citedOpen Access
Programmable Bidirectional Mechanical Metamaterial with Tunable Stiffness and Frictional Energy Dissipation
Advanced Theory and Simulations·2022· 30 citedOpen Access
A New Statistical Descriptor for the Physical Characterization and 3D Reconstruction of Heterogeneous Materials
Transport in Porous Media·2021· 11 citedOpen Access
A supervised machine learning approach for accelerating the design of particulate composites: Application to thermal conductivity
Computational Materials Science·2021· 1 citedOpen Access
A novel design of printable tunable stiffness metamaterial for bone healing
Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior of biomedical materials·2021· 23 cited
A machine learning based computational framework for designing novel multifunctional materials
2020
Implementation of an Innovation and Entrepreneur Mindset Concept into Mechanics of Materials Course
2020· 3 citedOpen Access
Design and Manufacture of a Smart Macro-Structure with Changeable Effective Stiffness
International Journal of Applied Mechanics·2020· 31 cited
Numerical study of the conductive liquid metal elastomeric composites
Materials Today Communications·2019· 20 cited
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Frequent Co-authors

Majid Baniassadi(15), Mohammad Saber Hashemi(11), Mostafa Baghani(7), Javad Baqersad(5), Seungik Baek(4), Farhang Pourboghrat(4), Daniel George(4), Shahrokh Zeinali‐Davarani(3), Hamid Garmestani(3), Yves Rémond(3), Levi Kirby(3), Xuan Song(3), Xinran Xiao(2), Xiaosong Huang(2), Stanley C. Hunley(2), L. Guy Raguin(2), Mostafa Mahdavi(2), Ghader Faraji(2), Fayyaz Nosouhi(2), Aaron McCrary(2)