15.2C). What is more, current knowledge is advanced enough to allow numerical models to agree with observations on this aspect (Follows et al., 2007). From the Tara Oceans global sampling, Prochlorococcus dominated between 40°N and 40°S, in warm, oligotrophic areas of the open ocean (...
AI理解论文&经典十问 总结 本文介绍了一种基于物理知识的卷积-循环神经网络,用于解决时空偏微分方程问题。作者提出了两种网络架构,PhyCRNet和PhyCRNet-s,用于实现无标记数据的PDE求解。相比现有的PDE求解方法,这种方法具有更好的低维时空参数化性能和更高的求解质量。文章还介绍了网络的损失函数和边界条件的硬编码方法...