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

Guardado en:

Bibliografiske detaljer
Udgivet i:	Atmosphere vol. 16, no. 9 (2025), p. 1109-1126
Hovedforfatter:	Liu, Yulong
Andre forfattere:	Liao Meicheng, Liu, Jiacheng, Cheng, Zhen
Udgivet:	MDPI AG
Fag:	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 adgang:	Citation/Abstract Full Text + Graphics Full Text - PDF
Tags:	Tilføj Tag Ingen Tags, Vær først til at tagge denne postø!

Vær først til at give en kommentarø!