most citedBayesian Modeling of Inconsistent Plastic Response due to Material Variability

16 citations · 24 across the 5 of their papers we have counts for

collaborators

5 papers

cond-mat.mtrl-sci2019★ 4 cited

Modeling strength and failure variability due to porosity in additively manufactured metals

M. Khalil, G. H. Teichert, C. Alleman +4

To model and quantify the variability in plasticity and failure of additively manufactured metals due to imperfections in their microstructure, we have developed uncertainty quanti…

cond-mat.mtrl-sci2019

Amorphous intergranular films mitigate radiation damage in nanocrystalline Cu-Zr

Jennifer D. Schuler, Charlette M. Grigorian, Christopher M. Barr +3

Nanocrystalline metals are promising radiation tolerant materials due to their large interfacial volume fraction, but irradiation-induced grain growth can eventually degrade any im…

cond-mat.mtrl-sci2018

In situ high-cycle fatigue reveals the importance of grain boundary structure in nanocrystalline Cu-Zr

Jennifer D. Schuler, Christopher M. Barr, Nathan M. Heckman +4

Nanocrystalline metals typically have high fatigue strengths, but low resistance to crack propagation. Amorphous intergranular films are disordered grain boundary complexions that…

physics.data-an2018★ 16 cited

Bayesian Modeling of Inconsistent Plastic Response due to Material Variability

Francesco Rizzi, Mohammad Khalil, Reese E. Jones +3

The advent of fabrication techniques such as additive manufacturing has focused attention on the considerable variability of material response due to defects and other microstructu…

physics.app-ph2018★ 4 cited

Plasticity models of material variability based on uncertainty quantification techniques

F. Rizzi, R. E. Jones, J. A. Templeton +2

The advent of fabrication techniques like additive manufacturing has focused attention on the considerable variability of material response due to defects and other micro-structura…