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Mahmood Mamivand

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Associate Professor

Boise State University

United States

Research Interests

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Recent Grants

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Collaborative Research: CyberTraining: Implementation: Medium: The Informatics Skunkworks Program for Undergraduate Research at the Interface of Data Science and Materials Science

Open Date: 2020-09-01

Close Date: 2024-08-31

Articles (10)

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Mahmood Mamivand

Research Interests

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Recent Grants

Articles (10)

Physics-informed neural networks for martensitic transformation: Toward morphology-based material parameters estimation

A validated phase-field model for spinodal decomposition in the ternary Fe–Cr–Co system under an external magnetic field

Graph representation learning for predicting processing conditions in Spinodal decomposition microstructures

Spatiotemporal prediction of microstructure evolution with predictive recurrent neural network

Processing time, temperature, and initial chemical composition prediction from materials microstructure by deep network for multiple inputs and fused data

Deep learning approach for chemistry and processing history prediction from materials microstructure

Three-dimensional phase field modeling of fracture in shape memory ceramics

Concurrent modeling of martensitic transformation and crack growth in polycrystalline shape memory ceramics

Phase field modeling of crack propagation in shape memory ceramics – Application to zirconia

Simulation of Cu precipitation in Fe-Cu dilute alloys with cluster mobility

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