Deep Learning Emulator Towards Both Forward and Adjoint Modes of Atmospheric Gas-Phase Chemical Process

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書誌詳細
出版年:	Atmosphere vol. 16, no. 9 (2025), p. 1109-1126
第一著者:	Liu, Yulong
その他の著者:	Liao Meicheng, Liu, Jiacheng, Cheng, Zhen
出版事項:	MDPI AG
主題:	China Air quality Nitric oxide Datasets Sensitivity analysis Nitrogen dioxide Artificial neural networks Neural networks Chemistry Computer applications Photochemicals Distance learning Simulation Ozone Emulators Numerical models Isoprene Graphics processing units Chemical transport Chemical bonds Hydroxyl radicals Central processing units > CPUs Accuracy Deep learning Atmospheric chemistry Data assimilation Photochemistry Machine learning Graphics Gases Mathematical models Air quality models Ordinary differential equations Embedding
オンライン･アクセス:	Citation/Abstract Full Text + Graphics Full Text - PDF
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