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Deep learning and multi-level featurization of graph representations of microstructural data
R. Jones, C. Safta, A. Frankel
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Industrial PLC Network Modeling and Parameter Identification Using Sensitivity Analysis and Mean Field Variational Inference
R. Wonnacott, D. Ching, J. Chilleri, C. afta, L. Rashkin, T. Reichardt
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TChem: A performance portable parallel software toolkit for complex kinetic mechanisms
K. Kim, O. Diaz-Ibarra, H. Najm, J. Zador, C. Safta
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Trajectory design via unsupervised probabilistic learning on optimal manifolds
C. Safta, R. Ghanem, M. Grant, M. Sparapany, H. Najm
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Bayesian calibration of interatomic potentials for binary alloys
A. Hegde, E. Weiss, W. Windl, H. Najm, C. Safta
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Forecasting Multi-Wave Epidemics Through Bayesian Inference
P. Blonigan, J. Ray, C. Safta
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Using computational singular perturbation as a diagnostic tool in ODE and DAE systems: a case study in heterogeneous catalysis
O. Diaz-Ibarra, K. Kim, C. Safta, J. Zador, H.N. Najm
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Mesh-based Graph Convolutional Neural Networks For Modeling Materials with Microstructure
A.L. Frankel, C. Safta, C. Alleman, R. Jones
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The predictive skill of convolutional neural networks models for disease forecasting
K. Lee, J. Ray, C. Safta
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Daily Forecasting of Regional Epidemics of Coronavirus Disease with Bayesian Uncertainty Quantification, United States
Y.T. Lin, J. Neumann, E.F. Miller, R.G. Posner, A. Mallela, C. Safta, J. Ray, G. Thakur, S. Chinthavali, W.S. Hlavacek
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