fig4

Efficient prediction of potential energy surface and physical properties with Kolmogorov-Arnold Networks

Figure 4. Replacing MLPs in the output block of the MACE model[50] with KANs employing B-spline basis functions. (A) The general framework of MACE model. zi stands for the chemical species of atom i. ri indicates the atomic positions of atom i. hi represents the learnable features of atom i. (B) Replacing the linear combinations and MLPs in the output block with KANs. MLPs: Multi-layer perceptrons; KANs: Kolmogorov-Arnold Networks; MACE: Higher order equivariant message passing neural network.

Journal of Materials Informatics
ISSN 2770-372X (Online)
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