Crucially, its capability for reverse differentiation renders it well-suited for advanced deep dreaming experiments. The model integrates Long-Short Term Memory (LSTM) networks, augmented with attention mechanisms, alongside conventional multilayer perceptron (MLP) neural networks. The MOF string, which is composed of a differentiable (edge) and nondifferentiable (node and topology) component, is processed by two distinct LSTM branches.