Fig. 1: Convert physics-rich data as sentences of an alloy-specific language. | npj Computational Materials

Fig. 1: Convert physics-rich data as sentences of an alloy-specific language.

From: End-to-end prediction and design of additively manufacturable alloys using a generative AlloyGPT model

Fig. 1

a Curate scientific data on alloys from various sources, including experiments, simulations, and/or theories. b Example entries in the Al-based alloy dataset include quantitative information on the compositions (red rectangle), structures (green rectangle), and properties (blue rectangle) of the alloy samples. c, d Reformat an example data entry as a 1D sequence of information blocks, which is referred as a “sentence” of this alloy-specific language. Inside each block, the physical quantity is presented as a pair of key and value. c For forward prediction, the sentence is stated in the order of task type, composition (shaded in red), structure (green), and property (blue). d For inverse design, the sentence follows the order of task type, property (blue), structure (green), and composition (red).

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