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Fernando Garcia-Escobar on Muck Rack

Fernando Garcia-Escobar

As seen in: Wiley Online Library, Taylor & Francis Online, Royal Society of Chemistry
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Articles

Automated Feature Engineering and Model Aggregation for Data-Driven Oxidative Coupling of Methane Catalyst Design

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By Fernando Garcia-Escobar, Aya Fujiwara, Toshiaki Taniike, keisuke Takahashi
| dx.doi.org
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Web-based graphical interface for catalyst gene design and profiling

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By Fernando Garcia-Escobar, Kenshin Shibata, Mikael Kuwahara, Yoshiki Hasukawa
| Taylor & Francis Online
?Mathematical formulae have been encoded as MathML and are displayed in this HTML version using MathJax in order to improve their display. Uncheck the box to turn MathJax off. This feature requires Javascript. Click on a formula to zoom. ABSTRACT Catalyst gene profiling offers a promising approach for analyzing catalyst datasets by encoding catalyst data features into interpretable sequences known as catalyst genes.
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Unique Phase Evolution and Multielemental Effects in Natural Rhodochrosite for Methane Oxidation

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By Fernando Garcia-Escobar, Lauren Takahashi, Rensuke Koiwai, Koki Sakamoto
| Wiley Online Library Verified
Conflict of Interest There are no conflicts of interest to declare. References 1, , , , , Geochim. Cosmochim. Acta 1985, 49, 463. 2, , , , Phys. Chem. Chem. Phys. 2001, 3, 1911. 3, J. Mater. Chem. 2008, 18, 1623. 4, , , , , , , , , , , , Nat. Commun. 2018, 9, 2553. 5, ACS omega 2020, 5, 25493. 6, , , , , , , , , , , , , , , , Nat. Commun. 2024, 15, 564. 7, , , , Geochim. Cosmochim. Acta 2002, 66, 867. 8, , , , Am. Mineral. 2013, 98, 1817. 9, , Environ. Sci. Technol. 2021, 55, 14436. 10, , , , J. Therm. Anal. Calorim.
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