113 citations · 123 across the 4 of their papers we have counts for
8 papers
Sensitivity of void mediated failure to geometric design features of porous metals
Gregory H. Teichert, Mohammad Khalil, Coleman Alleman +2
Material produced by current metal additive manufacturing processes is susceptible to variable performance due to imprecise control of internal porosity, surface roughness, and con…
System inference via field inversion for the spatio-temporal progression of infectious diseases: Studies of COVID-19 in Michigan and Mexico
Zhenlin Wang, Mariana Carrasco Teja, Xiaoxuan Zhang +2
We present an approach to studying and predicting the spatio-temporal progression of infectious diseases. We treat the problem by adopting a partial differential equation (PDE) ver…
LiCoO phase stability studied by machine learning-enabled scale bridging between electronic structure, statistical mechanics and phase field theories
Gregory H. Teichert, Sambit Das, Muratahan Aykol +3
LiO (TM={Ni, Co, Mn}) are promising cathodes for Li-ion batteries, whose electrochemical cycling performance is strongly governed by crystal structure and phase stability…
System inference for the spatio-temporal evolution of infectious diseases: Michigan in the time of COVID-19
Zhenlin Wang, Xiaoxuan Zhang, Gregory Teichert +2
We extend the classical SIR model of infectious disease spread to account for time dependence in the parameters, which also include diffusivities. The temporal dependence accounts…
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…
Machine learning materials physics: Integrable deep neural networks enable scale bridging by learning free energy functions
G. H. Teichert, A. R. Natarajan, A. Van der Ven +1
The free energy of a system is central to many material models. Although free energy data is not generally found directly, its derivatives can be observed or calculated. In this wo…