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

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Detaylı Bibliyografya
Yayımlandı:	Atmosphere vol. 16, no. 9 (2025), p. 1109-1126
Yazar:	Liu, Yulong
Diğer Yazarlar:	Liao Meicheng, Liu, Jiacheng, Cheng, Zhen
Baskı/Yayın Bilgisi:	MDPI AG
Konular:	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
Online Erişim:	Citation/Abstract Full Text + Graphics Full Text - PDF
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