3-D Multiscale Modeling Combined with Machine Learning for a Novel Structural-Prognosis Framework
- Sponsor: U.S. Air Force Office of Scientific Research (Young Investigator Program)
- MMM Lab Investigators: Brian Phung, Karen DeMille, Kyle Pierson
- Affiliated journal publications:
- DeMille and Spear, EFM (2020). doi.org/10.1016/j.engfracmech.2019.106643
- Pierson, Rahman, Spear, JOM (2019). doi.org/10.1007/s11837-019-03572-y
- Phung and Spear, EFM (2019). doi.org/10.1016/j.engfracmech.2019.01.008
- Spear, et al., JOM (2018). doi.org/10.1007/s11837-018-2894-0
- Pierson, et al., JOM (2018). doi.org/10.1007/s11837-018-2884-2
- Spear, et al., FFEMS (2016). doi:10.1111/ffe.12449
3-D Multiscale Characterization and Modeling of Open-Cell Metallic Foams
- Sponsor: National Science Foundation
- MMM Lab Investigators: Dongfang Zhao, Jayden Plumb, Kory Cross
- Collaborators: Michael Czabaj, Valerio Pascucci, Jonathan Lind, Joe Tucker, Kris Matheson, Matt Nowell (AMETEK)
- Affiliated journal publications and data dissemination:
- Phung, et al., Computational Materials Science (2021). doi.org/10.1016/j.commatsci.2021.110622
- Zhao, et al., Materials Science and Engineering: A (2021). doi.org/10.1016/j.msea.2021.140847
- Tucker and Spear, IMMI (2019). doi.org/10.1007/s40192-019-00136-5
- Petruzza, et al., IEEE Trans. on Visualization and Computer Graphics (2019). 10.1109/TVCG.2019.2934620
- Plumb, et al., Materials Characterization (2018). doi.org/10.1016/j.matchar.2018.07.031
- Plumb, et al., NIST Materials Data Repository (2018). http://hdl.handle.net/11256/975
- Matheson, et al., Materials Science & Engineering: A (2017). doi:10.1016/j.msea.2017.08.102
- Matheson, et al., Data in Brief (2017). doi.org/10.1016/j.dib.2017.11.072
- Matheson, et al., NIST Materials Data Repository (2017). http://hdl.handle.net/11256/949
- More coming soon!
ADAPT: Mountain West Manufacturing Network
- Sponsor: U.S. Department of Defense Office of Economic Adjustment
- MMM Lab Investigators: Nadia Kouraytem, Dillon Watring, Carl Herriott
- Collaborators: Bart Raeymaekers, Aaron Stebner, Tony Rollett, Owen Kingstedt, Wenda Tan
- Affiliated journal publications:
- Herriott and Spear, Computational Materials Science (2020). doi.org/10.1016/j.commatsci.2020.109599
- Kouraytem, et al., Additive Manufacturing (2020). doi.org/10.1016/j.addma.2020.101083
- Kouraytem, et al., Physical Review Applied (2019). doi.org/10.1103/PhysRevApplied.11.064054
- Watring, et al., Materials Science & Engineering: A (2019). doi.org/10.1016/j.msea.2019.06.003
- Herriott, et al., MSMSE (2019). doi.org/10.1088/1361-651X/aaf753
- More coming soon!
US-COMP: Institute for Ultra-Strong Composites by Computational Design
- Sponsor: NASA Space Technology Research Institutes (STRI)
- MMM Lab Investigators: TBD
- Collaborators: All Participating Team Members
- Affiliated journal publications:
- Rahman, et al., CST (2021). doi.org/10.1016/j.compscitech.2020.108627
- Shirolkar, et al., Carbon (2021). doi.org/10.1016/j.carbon.2020.12.044
Predicting Skull Fracture Patterns from Head Impact in Infants
- Sponsor: U.S. Department of Justice (National Institute of Justice)
- Collaborators: Brittany Coats
- Affiliated journal publications:
- Yan, et al., Journal of Biomechanical Engineering (2021). doi.org/10.1115/1.4050460
- He, et al., Biomechanics and Modeling in Mechanobiology (2020). doi.org/10.1007/s10237-020-01293-9
- Coming soon!
MRI Consortium: Development of High Throughput High Energy Diffraction Microscope
- Sponsor: National Science Foundation
- Collaborators: Robert Suter (CMU), Aaron Stebner (CSM), Michael Sangid (Purdue)