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S. Nikiforov

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#machine learning Preprint Sep 2026

Physics-Informed Multi-Task Surrogate Model for the Martian Nightside Thermosphere

Modeling the Martian nightside thermosphere remains challenging due to sparse in situ sampling and strong coupling among transport, magnetic, and seasonal processes. Purely data-driven models can produce non-physical artifacts, such as density inversions, in poorly sampled altitude regimes. We present a multi-task phys...

S. Nikiforov · 0 citations

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