physics-informed neural networks Archives

Example solution for the 𝛼(𝑥, 𝑦) shown in Fig. 1 for the direction of the light in positive x-direction (𝜙 = 0). Top: The complete solution (left), the solution if scattering would be treated as absorption (middle) and the difference between the two: the scattered light component (right), all in units of 𝑢0 := 𝑢(𝑥 = −1, 𝜙 = 0) = 1. Bottom: The logarithm (log10) of the respective residuals of the differential equations. The middle plot shows the residual of 𝑢𝑎 with respect to the RTE without scattering and the right one the residual of (𝑢𝑎 + 𝑢𝑠 ) with respect to the complete RTE. The left plot is calculated from the two residuals by taking their root mean square. -- astro-ph.EP

AI - Data - Apps - Cybernetics, Atmospheres, Climate, Weather, Biogeochemical Cycles & Geobiology, Exoplanets, -moons, -comets, Habitable Zones, Press Release, Water/Hycean Worlds & Oceanography

Approximating Rayleigh Scattering in Exoplanetary Atmospheres using Physics-informed Neural Networks (PINNs)

by Keith CowingAugust 11, 2024August 10, 2024

This research introduces an innovative application of physics-informed neural networks (PINNs) to tackle the intricate challenges of radiative transfer (RT) modeling in exoplanetary atmospheres, with a special focus on efficiently […]

physics-informed neural networks

Approximating Rayleigh Scattering in Exoplanetary Atmospheres using Physics-informed Neural Networks (PINNs)

NASA Curation Community Conversation Webinar

The Atmospheric Chemistry and Surface Interactions on Mars (ACSIOM) Workshop 2025

An ALMA View On Molecular Complexity: Water, Methanol, And Methyl Formate In The HD 100546 And IRS 48 Disks

The Occurrence of Circumbinary Planets Around TESS M-dwarf Eclipsing Binaries

Experimental Astrochemistry And Machine Learning Unravel The Formation Of Oxygen-bearing Organic Molecules In Extraterrestrial Ices