Articles citing this article

The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).

Cited article:

Machine learning prediction of state-to-state rate constants for astrochemistry

Duncan Bossion, Gunnar Nyman and Yohann Scribano
Artificial Intelligence Chemistry 2 (1) 100052 (2024)
https://doi.org/10.1016/j.aichem.2024.100052

A Computational Investigation into Hydrocarbon Growth on Extraterrestrial Mineral Surfaces toward Understanding the Carbon Discrepancy in Space

Lily A. Clague, Courtney Ennis and Anna L. Garden
ACS Earth and Space Chemistry 8 (5) 945 (2024)
https://doi.org/10.1021/acsearthspacechem.3c00292

Local descriptors-based machine learning model refined by cluster analysis for accurately predicting adsorption energies on bimetallic alloys

A. F. Usuga, C. S. Praveen and A. Comas-Vives
Journal of Materials Chemistry A 12 (5) 2708 (2024)
https://doi.org/10.1039/D3TA06316J

Competitive Entrapment of Hypervolatiles in Interstellar and Cometary Water Ice Analogs

Qijia Zhou, Alexia Simon, Karin I. Öberg and Mahesh Rajappan
The Astrophysical Journal 972 (2) 189 (2024)
https://doi.org/10.3847/1538-4357/ad6322

Uptake of Molecules by Polyaromatic Hydrocarbon Nanoparticles

Viktoriya Poterya, Ivo S. Vinklárek, Andriy Pysanenko, Eva Pluhařová and Michal Fárník
ACS Earth and Space Chemistry 8 (2) 369 (2024)
https://doi.org/10.1021/acsearthspacechem.3c00327

Infrared spectra of solid-state ethanolamine: Laboratory data in support of JWST observations

T. Suhasaria, S. M. Wee, R. Basalgète, S. A. Krasnokutski, C. Jäger, G. Perotti and Th. Henning
Astronomy & Astrophysics 691 A306 (2024)
https://doi.org/10.1051/0004-6361/202450097

Graphs and Kernelized Learning Applied to Interactions of Hydrogen with Doped Gold Nanoparticle Electrocatalysts

Antti Pihlajamäki, Sami Malola, Tommi Kärkkäinen and Hannu Häkkinen
The Journal of Physical Chemistry C 127 (29) 14211 (2023)
https://doi.org/10.1021/acs.jpcc.3c02539

Descriptors for binding energies at clusters: The case of nanosilicates as models of interstellar dust grains

Mie Andersen and Andreas Møller Slavensky
The Journal of Chemical Physics 159 (4) (2023)
https://doi.org/10.1063/5.0156311

A statistical and machine learning approach to the study of astrochemistry

Johannes Heyl, Serena Viti and Gijs Vermariën
Faraday Discussions 245 569 (2023)
https://doi.org/10.1039/D3FD00008G

Bathymetry of the Gulf of Mexico Predicted With Multilayer Perceptron From Multisource Marine Geodetic Data

Shuai Zhou, Xin Liu, Jinyun Guo, Xin Jin, Lei Yang, Yu Sun and Heping Sun
IEEE Transactions on Geoscience and Remote Sensing 61 1 (2023)
https://doi.org/10.1109/TGRS.2023.3328035

Astrochemical Modeling of Propargyl Radical Chemistry in TMC-1

Alex N. Byrne, Ci Xue, Ilsa R. Cooke, Michael C. McCarthy and Brett A. McGuire
The Astrophysical Journal 957 (2) 88 (2023)
https://doi.org/10.3847/1538-4357/acf863

Identifying the most constraining ice observations to infer molecular binding energies

Johannes Heyl, Elena Sellentin, Jonathan Holdship and Serena Viti
Monthly Notices of the Royal Astronomical Society 517 (1) 38 (2022)
https://doi.org/10.1093/mnras/stac2652

Machine learning-accelerated chemistry modeling of protoplanetary disks

Grigorii V. Smirnov-Pinchukov, Tamara Molyarova, Dmitry A. Semenov, et al.
Astronomy & Astrophysics 666 L8 (2022)
https://doi.org/10.1051/0004-6361/202244691