Figure 1. Schematic diagram of the overall workflow of physical embedding machine learning force field: including high-order isovariant models, physical knowledge-guided adaptive bond length sampling ...

Parameterisation schemes within General Circulation Models are required to capture cloud processes and precipitation formation but exhibit long-standing known biases. Here, we develop a hybrid ...

Dimension reduction plays a crucial role in machine learning to serve data exploration and visualization 1,2. By transforming data into an embedding space, it reveals the intrinsic structures and ...