Projects per year
Personal profile
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.
Fingerprint
Dive into the research topics where Mahmood Mamivand is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
CAREER: Advancing nanostructure & interface science for permanent magnets without rare earth materials
Mamivand, M. (PI)
1/02/22 → 31/01/27
Project: Research
-
Material Parameter Estimation from Microstructure Morphologies with Machine Learning
Hodson, M., Mamivand, M., Brough, T. & Lawrence, W., 12 Jul 2023.Research output: Contribution to conference › Presentation
-
Spatiotemporal Prediction of Microstructure Evolution with Predictive Recurrent Neural Network
Kazemzadeh Farizhandi, A. A. & Mamivand, M., 25 Apr 2023, In: Computational Materials Science.Research output: Contribution to journal › Article › peer-review
Open Access -
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 AccessFile11 Scopus citations -
Prediction of Onsager and Gradient Energy Coefficients from Microstructure Images with Machine Learning
Smith, L., Mamivand, M., Kazemzadeh Farizhandi, A. A. & Agren, C., 12 Jul 2022.Research output: Contribution to conference › Presentation
-
Processing Time, Temperature, and Initial Chemical Composition Prediction from Materials Microstructure by Deep Network for Multiple Inputs and Fused Data
Farizhandi, A. A. K. & Mamivand, M., 1 Jul 2022, In: Materials & Design.Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Downloads (Pure)
Prizes
-
2013 - Distinguished Graduate Scholar, Bagley College of Engineering
Mamivand, M. (Recipient), 2013
Prize