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Kathleen Schmidt
Kathleen Schmidt
Lawrence Livermore National Laboratory
Bayesian inference
Computer science
Data mining
Mutual information
Inverse problem
5
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11
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Bayesian calibration of strength model parameters from Taylor impact data
2021
Computational Materials Science
David Rivera
Jason Bernstein
Kathleen Schmidt
Amanda Muyskens
Matthew D. Nelms
Nathan R. Barton
Ana Kupresanin
J.N. Florando
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A practical extension of the recursive multi‐fidelity model for the emulation of hole closure experiments
2021
Amanda Muyskens
Kathleen Schmidt
Matthew D. Nelms
Nathan R. Barton
J.N. Florando
Ana Kupresanin
David Rivera
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Publisher’s Note: “Simultaneous inference of the compressibility and inelastic response of tantalum under extreme loading” [J. Appl. Phys. 130, 055901 (2021)]
2021
Journal of Applied Physics
W. J. Schill
Ryan A. Austin
Kathleen Schmidt
Justin Brown
Nathan R. Barton
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Sequential optimal positioning of mobile sensors using mutual information
2019
Statistical Analysis and Data Mining
Kathleen Schmidt
Ralph C. Smith
Jason Hite
John Mattingly
Yousry Y. Azmy
Deepak Rajan
Ryan Goldhahn
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A comparison of material flow strength models using Bayesian cross-validation
2019
Computational Materials Science
Jason Bernstein
Kathleen Schmidt
David Rivera
Nathan R. Barton
J.N. Florando
Ana Kupresanin
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Citations (7)
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