![LEFT: Predicted 22Ne mass fraction as a function of metallicity for the WD remnants of stars in the Hypatia Catalog (Hinkel et al. 2014). The colors represent [N/H] for the same stars. MIDDLE and RIGHT: C and N abundances of the same stars from the Hypatia Catalog. The color bars represent the predicted neon mass fraction, X(22Ne), in their remnants. Two chemically peculiar low-metallicity objects, BD+80 245 and HD 19445, are labeled and marked as stars. -- astro-ph.SR](https://i0.wp.com/astrobiology.com/wp-content/uploads/2025/08/The-Fraction-of-Distilled.png?resize=1200%2C699&ssl=1)
After carbon and oxygen, 22Ne is the most abundant element in white dwarf interiors. As C/O white dwarfs (WDs) crystallize, they are predicted to go through a distillation process in […]
Hypatia Catalog
![The [Na/Fe] vs. [Fe/H] abundance plot (Ensemble 4) showing the stars that are most likely to host a planet (green), the known planet hosts (blue), and the stars less likely to host a planet (orange). Histograms are also included that show the [Na/Fe] relative distribution to the right of the scatterplot and [Fe/H] relative distribution at the top. We note the clear sub-solar Na abundances for each experiment’s known and predicted planet hosts (see Section 5). - Small planets -- astro-ph.EP](https://i0.wp.com/astrobiology.com/wp-content/uploads/2025/03/Utilizing-Machine-Learning-to-Predict.png?resize=1200%2C718&ssl=1)
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Utilizing Machine Learning to Predict Host Stars and the Key Elemental Abundances of Small Planets
Stars and their associated planets originate from the same cloud of gas and dust, making a star’s elemental composition a valuable indicator for indirectly studying planetary compositions.