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Jun, 2023
利用神经网络加速外行星大气不平衡化学计算
Using a neural network approach to accelerate disequilibrium chemistry calculations in exoplanet atmospheres
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Julius L. A. M. Hendrix, Amy J. Louca, Yamila Miguel
TL;DR
本研究探讨实现神经网络来替换一维化学动力学模型中的数学框架,以预测热木星大气模拟中的物种的混合比,结果显示,神经网络能够较准确地预测热木星大气中的物种混合比,且速度约快1000倍。
Abstract
In this era of
exoplanet
characterisation with JWST, the need for a fast implementation of classical forward models to understand the chemical and physical processes in
exoplanet
→