
Elias Nakouzi
Articles
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Jan 31, 2024 |
dx.doi.org | Sebastien N. Kerisit |Sébastien Kerisit |Elias Nakouzi |Timothy Johnson |Pauline G. Simonnin
Download Hi-Res ImageDownload to MS-PowerPointCite This:J. Phys. Chem. C 2024, XXXX, XXX Terms & Conditions Most electronic Supporting Information files are available without a subscription to ACS Web Editions. Such files may be downloaded by article for research use (if there is a public use license linked to the relevant article, that license may permit other uses).
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Jun 1, 2023 |
pnas.org | Lili Liu |Michel Sassi |Xin Zhang |Elias Nakouzi
K. J. Bergen, P. A. Johnson, M. V. de Hoop, G. C. Beroza, Machine learning for data-driven discovery in solid earth geoscience. Science 363, eaau0323 (2019). M. Reichstein et al., Deep learning and process understanding for data-driven earth system science. Nature 566, 195–204 (2019). A. Adler, M. Araya-Polo, T. Poggio, Deep learning for seismic inverse problems: Toward the acceleration of geophysical analysis workflows. IEEE Signal Process. Mag. 38, 89–119 (2021). S. Yu, J.
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May 31, 2023 |
pnas.org | Lili Liu |Michel Sassi |Xin Zhang |Elias Nakouzi
Skip to main content Sakuranetin protects rice from brown planthopper attack by depleting its beneficial endosymbiontsMengyu Liu https://orcid.org/0000-0003-4155-2189, Gaojie Hong https://orcid.org/0000-0002-5254-5358, Huijing Li https://orcid.org/0009-0004-3548-3521, +6 , Xiaoli Bing https://orcid.org/0000-0002-7725-5963, Yumeng Chen, Xiangfeng Jing, Jonathan Gershenzon https://orcid.org/0000-0002-1812-1551, Yonggen Lou https://orcid.org/0000-0002-3262-6134, Ian T.
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May 31, 2023 |
pnas.org | Lili Liu |Michel Sassi |Xin Zhang |Elias Nakouzi
Skip to main content To confront the negative effects of climate change, China decided to join the 2016 Paris Agreement, along with more than 190 countries. China has gradually moved the articles in this major climate treaty from advice to implementation. By taking a long-term view, Chinese leadership says they’re committed to achieving the peak of carbon emissions by 2030 and carbon neutrality by 2060.
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May 30, 2023 |
pnas.org | Lili Liu |Michel Sassi |Xin Zhang |Elias Nakouzi
E. Chuvieco et al., Human and climate drivers of global biomass burning variability. Sci. Total Environ. 779, 146361 (2021). E. Chuvieco et al., Historical background and current developments for mapping burned area from satellite earth observation. Remote Sens. Environ. 225, 45–64 (2019). S. Akagi et al., Emission factors for open and domestic biomass burning for use in atmospheric models. Atmos. Chem. Phys. 11, 4039–4072 (2011). J. S.
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