2 citations · 2 across the 3 of their papers we have counts for
4 papers · 1 filter
Faithful Neural Embeddings for 3D Exoplanet Climate Modeling
Amit Reza, Ludmila Carone, Christiane Helling
With the rapid advancement of telescopes like JWST and Ariel, there is an urgent need for efficient 3D climate models to interpret observations of exoplanet atmospheres. Traditiona…
Metal Oxide Clusters in Gas Giant Exoplanet Atmospheres
Deepak Bisht, Christiane Helling, David Gobrecht +6
This study investigates the thermal stability and absorption of metal oxide clusters in exoplanetary atmospheres. Utilizing our thermochemical data, we analyze eight distinct clust…
Accelerating exoplanet climate modelling: A machine learning approach to complement 3D GCM grid simulations
Alexander Plaschzug, Amit Reza, Ludmila Carone +2
With the development of ever-improving telescopes capable of observing exoplanet atmospheres in greater detail and number, there is a growing demand for enhanced 3D climate models…
Grid-based exoplanet atmospheric mass loss predictions through neural network
Amit Reza, Daria Kubyshkina, Luca Fossati +1
The fast and accurate estimation of planetary mass-loss rates is critical for planet population and evolution modelling. We use machine learning (ML) for fast interpolation across…