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   Perlongo, N. J. ; Ridley, A. J. ; Liemohn, M. W. ; Katus, R. M. ( April 2017 , Journal of Geophysical Research: Space Physics)
2. Emulating and Calibrating the Multiple-Fidelity Lyon–Fedder–Mobarry Magnetosphere–Ionosphere Coupled Computer Model

   https://doi.org/10.1111/rssc.12064  

   Heaton, Matthew J. ; Kleiber, William ; Sain, Stephan R. ; Wiltberger, Michael ( May 2014 , Journal of the Royal Statistical Society Series C: Applied Statistics)

   The Lyon–Fedder–Mobarry global magnetosphere–ionosphere coupled model LFM-MIX is used to study Sun–Earth interactions by simulating geomagnetic storms. This work focuses on relating the multifidelity output from LFM-MIX to field observations of ionospheric conductance. Given a set of input values and solar wind data, LFM-MIX numerically solves the magnetohydrodynamic equations and outputs a bivariate spatiotemporal field of ionospheric energy and flux. Of particular interest here are LFM-MIX input settings required to match corresponding output with field observations. To estimate these input settings, a multivariate spatiotemporal statistical LFM-MIX emulator is constructed. The statistical emulator leverages the multiple fidelities such that the less computationally demanding yet lower fidelity LFM-MIX is used to provide estimates of the higher fidelity output. The higher fidelity LFM-MIX output is then used for calibration by using additive and non-linear discrepancy functions.

    

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3. 3D phase imaging from intensity measurements with non-paraxial multiple scattering model

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   Zhu, Jiabei ; Tian, Lei ( August 2023 , Optica Imaging Congress (3D, COSI, DH, FLatOptics, IS, pcAOP))

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4. Surface-Enhanced Raman Scattering-Based Odor Compass: Locating Multiple Chemical Sources and Pathogens

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5. Influence of interactions between multiple point defects on wave scattering in granular media

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