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About
Dr. Mahmood Mamivand is an associate professor of the Department of Mechanical and Biomedical. He joined Boise State University in 2017, and also serves as an adjunct professor in Department of Materials Science and Engineering, and is the Director of the Computational Materials Engineering Lab. Prior coming to Boise State, Dr. Mamivand was a Postdoctoral Associate at the University of Wisconsin-Madison. He received his PhD from Mississippi State University in Mechanical Engineering, and was the recipient of the Distinguished Graduate Scholar award from Bagley College of Engineering. The ultimate goal of Dr. Mamivand’s research is to accelerate the process of materials design and discovery through developing multiscale multiphysics models. Specifically, Dr. Mamivand and his team are developing mesoscale models for materials phase transformation, nanoparticles growth, and materials performance in extreme environments. He is also a member of the American Society of Mechanical Engineers (ASME), ASM International, The Minerals, Metals & Materials Society (TMS) to name a few.
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Collaborations and top research areas from the last five years
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CAREER: Advancing nanostructure & interface science for permanent magnets without rare earth materials
Mamivand, M. (PI)
1/02/22 → 31/01/27
Project: Research
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A validated phase-field model for spinodal decomposition in the ternary Fe–Cr–Co system under an external magnetic field
Robertson, T., Farazin, A., Flores, J. & Mamivand, M., Mar 2026, In: Calphad. 92, p. 102926Research output: Contribution to journal › Article › peer-review
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Graph representation learning for predicting processing conditions in Spinodal decomposition microstructures
Malviya, S., Konkol, E. & Mamivand, M., 20 Feb 2026, In: Computational Materials Science. 265, 114522.Research output: Contribution to journal › Article › peer-review
Open Access -
Material Parameter Estimation from Microstructure Morphologies with Machine Learning
Hodson, M., Mamivand, M., Brough, T. & Lawrence, W., 1 Jul 2023.Research output: Contribution to conference › Poster
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Spatiotemporal Prediction of Microstructure Evolution with Predictive Recurrent Neural Network
Kazemzadeh Farizhandi, A. A. & Mamivand, M., 25 Apr 2023, In: Computational Materials Science. 223, 112110.Research output: Contribution to journal › Article › peer-review
Open AccessFile35 Scopus citations172 Downloads (Pure) -
Deep Learning Approach for Chemistry and Processing History Prediction from Materials Microstructure
Kazemzadeh Farizhandi, A. A., Betancourt, O. & Mamivand, M., 16 Mar 2022, In: Scientific Reports. 12, 1, 4552.Research output: Contribution to journal › Article › peer-review
Open AccessFile16 Scopus citations25 Downloads (Pure)
Prizes
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2013 - Distinguished Graduate Scholar, Bagley College of Engineering
Mamivand, M. (Recipient), 2013
Prize