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Dual-phase $\gamma$-TiAl and $\alpha_2$-Ti$_{3}$Al alloys exhibit highstrength and creep resistance at high temperatures. However, they suffer fromlow tensile ductility and fracture toughness at room temperature. Experimentalstudies show unusual plastic behaviour associated with ordinary andsuperdislocations, making it necessary to gain a detailed understanding ontheir core properties in individual phases and at the two-phase interfaces.Unfortunately, extended superdislocation cores are widely dissociated beyondthe length scales practical for routine first-principles density-functionaltheory (DFT) calculations, while extant interatomic potentials are notquantitatively accurate to reveal mechanistic origins of the unusualcore-related behaviour in either phases. Here, we develop a highly-accuratemoment tensor potential (MTP) for the binary Ti-Al alloy system using a DFTdataset covering a broad range of intermetallic and solid solution structures.The optimized MTP is rigorously benchmarked against both previous and new DFTcalculations, and unlike existing potentials, is shown to possess outstandingaccuracy in nearly all tested mechanical properties, including latticeparameters, elastic constants, surface energies, and generalized stacking faultenergies (GSFE) in both phases. The utility of the MTP is further demonstratedby producing dislocation core structures largely consistent with expectationsfrom DFT-GSFE and experimental observations. The new MTP opens the path torealistic modelling and simulations of bulk lattice and defect propertiesrelevant to the plastic deformation and fracture processes in $\gamma$-TiAl and$\alpha_2$-Ti$_{3}$Al dual-phase alloys.

Machine Learning Moment Tensor Potential for Modelling Dislocation and Fracture in L1$_0$-TiAl and D0$_{19}$-Ti$_3$Al Alloys