A fast neural emulator for interstellar chemistry
AA Ramos, CW Plaza… - Monthly Notices of …, 2024 - academic.oup.com
Astrochemical models are important tools to interpret observations of molecular and atomic
species in different environments. However, these models are time-consuming, precluding a …
species in different environments. However, these models are time-consuming, precluding a …
Spectropolarimetric Inversion in Four Dimensions with Deep Learning (SPIn4D). I. Overview, Magnetohydrodynamic Modeling, and Stokes Profile Synthesis
Abstract The National Science Foundation's Daniel K. Inouye Solar Telescope (DKIST) will
provide high-resolution, multiline spectropolarimetric observations that are poised to …
provide high-resolution, multiline spectropolarimetric observations that are poised to …
A fast neural emulator for interstellar chemistry
A Asensio Ramos, C Westendorp Plaza… - 2024 - digital.csic.es
Astrochemical models are important tools to interpret observations of molecular and atomic
species in different environments. However, these models are time-consuming, precluding a …
species in different environments. However, these models are time-consuming, precluding a …
Surface Flux Transport Modeling Using Physics-informed Neural Networks
Studying the magnetic field properties on the solar surface is crucial for understanding the
solar and heliospheric activities, which in turn shape space weather in the solar system …
solar and heliospheric activities, which in turn shape space weather in the solar system …
Magnetogram-to-Magnetogram: Generative Forecasting of Solar Evolution
FP Ramunno, HJ Jeong, S Hackstein… - arXiv preprint arXiv …, 2024 - arxiv.org
Investigating the solar magnetic field is crucial to understand the physical processes in the
solar interior as well as their effects on the interplanetary environment. We introduce a novel …
solar interior as well as their effects on the interplanetary environment. We introduce a novel …