Zhaofan Liu

Abstract Bow-tie or hourglass architecture is commonly found in biological neural networks. Recently, artificial neural networks with bow-tie architecture have been widely used in various machine-learning applications. However, it is unclear how bow-tie architecture in neural circuits can be formed. We address this by training multi-layer neural network models to perform classification tasks.

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To date, the fundamental question still remains regarding the role of chlorine (Cl) in the gas-phase growth process of CH3NH3PbI3(Cl) perovskites.