221 citations · 406 across the 17 of their papers we have counts for
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astro-ph.EP2022★ 13 cited
Machine learning-accelerated chemistry modeling of protoplanetary disks
Grigorii V. Smirnov-Pinchukov, Tamara Molyarova, Dmitry A. Semenov +4
Aims. With the large amount of molecular emission data from (sub)millimeter observatories and incoming James Webb Space Telescope infrared spectroscopy, access to fast forward mode…
astro-ph.EP2022★ 2 cited
Interpreting the atmospheric composition of exoplanets: sensitivity to planet formation assumptions
Paul Mollière, Tamara Molyarova, Bertram Bitsch +13
Constraining planet formation based on the atmospheric composition of exoplanets is a fundamental goal of the exoplanet community. Existing studies commonly try to constrain atmosp…