26 citations · 28 across the 8 of their papers we have counts for
9 papers
Fast and Differentiable MHD Surrogate for Solar Wind using Neural Operator
Prateek Mayank, Enrico Camporeale, Thomas E. Berger +2
Global magnetohydrodynamic (MHD) simulations provide the complete plasma state of the heliosphere, but their computational cost limits applications requiring repeated model evaluat…
Finding Novel Precursors for Solar Wind Stream Interaction Regions with Interpretable Deep Learning
Prateek Mayank, Yogesh, Enrico Camporeale +4
Solar wind stream interaction regions (SIRs) drive recurrent geomagnetic storms, yet most existing catalogs rely on expert inspection and simple thresholds that are subjective and…
Neural Enhancement of the Traditional Wang-Sheeley-Arge Solar Wind Relation
Prateek Mayank, Enrico Camporeale, Arpit K. Shrivastav +2
The Wang-Sheeley-Arge (WSA) model has been the cornerstone of operational solar wind forecasting for nearly two decades, owing to its simplicity and physics-based formalism. Howeve…
Simulating the Arrival of Multiple Coronal Mass Ejections that Triggered the Gannon Superstorm on May 10, 2024
Smitha V. Thampi, Ankush Bhaskar, Prateek Mayank +2
The May 10, 2024 space weather event stands out as the most powerful storm recorded during the current solar cycle. This study employs a numerical framework utilizing a semi-empiri…
Study of Evolution and Geo-effectiveness of CME-CME Interactions using MHD Simulations with SWASTi framework
Prateek Mayank, Stefan Lotz, Bhargav Vaidya +2
The geo-effectiveness of Coronal Mass Ejections (CMEs) is a critical area of study in space weather, particularly in the lesser-explored domain of CME-CME interactions and their ge…
Using sunRunner3D to interpret the global structure of the heliosphere from in situ measurements
José Juan González-Avilés, Pete Riley, Michal Ben-Nun +2
Understanding the large-scale three-dimensional structure of the inner heliosphere, while important in its own right, is crucial for space weather applications, such as forecasting…
Solar Flare Prediction and Feature Selection using Light Gradient Boosting Machine Algorithm
Vysakh P. A., Prateek Mayank
Solar flares are among the most severe space weather phenomena, and they have the capacity to generate radiation storms and radio disruptions on Earth. The accurate prediction of s…
SWASTi-CME: A physics-based model to study CME evolution and its interaction with Solar Wind
Prateek Mayank, Bhargav Vaidya, Wageesh Mishra +1
Coronal mass ejections (CMEs) are primary drivers of space weather and studying their evolution in the inner heliosphere is vital to prepare for a timely response. Solar wind strea…
SWASTi-SW: Space Weather Adaptive SimulaTion framework for Solar Wind and its relevance to ADITYA-L1 mission
Prateek Mayank, Bhargav Vaidya, D. Chakrabarty
Solar wind streams, acting as background, govern the propagation of space weather drivers in the heliosphere, which induce geomagnetic storm activities. Therefore, predictions of t…