fig5

Machine learning descriptors for crystal materials: applications in Ni-rich layered cathode and lithium anode materials for high-energy-density lithium batteries

Figure 5. Encoding and embedding enhanced crystal descriptors for MLFF. (A) Crystal descriptor proposed in DeepMD[72,74], which is further expanded in DPA universal model; (B) Crystal descriptor enhanced in M3GNet, as an update to MEGNet[36]; (C) Crystal descriptor enhanced in CHGNet, quoted with permission[75], Copyright 2023, Springer Nature; (D) Crystal descriptor enhanced in MACE[14,76]. MLFF: Machine learning force field; M3GNet: MatErials 3-body graph network; CHGNet: crystal Hamiltonian graph neural network.

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