Machine-Learned HASDM Model with Uncertainty Quantification. - Richard J. Licata; Piyush M. Mehta; W. Kent Tobiska; Snehalata V. Huzurbazar (CoRR, 2021)

Uncertainty Quantification Techniques for Space Weather Modeling: Thermospheric Density Application. - Richard J. Licata; Piyush M. Mehta (CoRR, 2022)

Science through Machine Learning: Quantification of Poststorm Thermospheric Cooling. - Richard J. Licata; Piyush M. Mehta; Daniel R. Weimer; Douglas P. Drob; W. Kent Tobiska; Jean Yoshii (CoRR, 2022)

Calibrated and Enhanced NRLMSIS 2.0 Model with Uncertainty Quantification. - Richard J. Licata; Piyush M. Mehta; Daniel R. Weimer; W. Kent Tobiska; Jean Yoshii (CoRR, 2022)

Reduced Order Probabilistic Emulation for Physics-Based Thermosphere Models. - Richard J. Licata; Piyush M. Mehta (CoRR, 2022)

Deep Learning Based Nonlinear Dimensionality Reduction for Emulators of Numerical Thermosphere Density Models. - Richard J. Licata; Piyush M. Mehta (CEC, 2024)