Acta Mechanica, Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 4, 2024
Language: Английский
Acta Mechanica, Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 4, 2024
Language: Английский
Journal of Alloys and Compounds, Journal Year: 2025, Volume and Issue: unknown, P. 178515 - 178515
Published: Jan. 1, 2025
Language: Английский
Citations
4Extreme Mechanics Letters, Journal Year: 2025, Volume and Issue: unknown, P. 102292 - 102292
Published: Jan. 1, 2025
Language: Английский
Citations
0Journal of Materials Research and Technology, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 1, 2025
Language: Английский
Citations
0Acta Materialia, Journal Year: 2025, Volume and Issue: unknown, P. 121027 - 121027
Published: April 1, 2025
Language: Английский
Citations
0Journal of Alloys and Compounds, Journal Year: 2024, Volume and Issue: 1010, P. 177385 - 177385
Published: Nov. 4, 2024
Language: Английский
Citations
2Physical review. B./Physical review. B, Journal Year: 2024, Volume and Issue: 110(18)
Published: Nov. 25, 2024
High Nb-containing TiAl alloys exhibit exceptional high-temperature strength and room-temperature ductility, making them widely used in hot-section components of automotive aerospace engines. However, the lack accurate interatomic interaction potential for large-scale modeling severely hampers a comprehensive understanding failure mechanism Ti-Al-Nb development strategies to enhance mechanical properties. Here, we develop general-purpose machine-learned (MLP) ternary system by combining neural evolution framework with an active learning scheme. The developed MLP, trained on extensive first-principles datasets, demonstrates remarkable accuracy predicting various lattice defect properties as well characteristics such thermal expansion melting point systems. Notably, this can effectively describe key effect Nb doping stacking fault energies formation energies. Of practical importance is that our MLP enables molecular dynamics simulations involving tens millions atoms ab initio accuracy, achieving outstanding balance between computational speed accuracy. These results pave way elucidating micromechanical behaviors lamellar structures developing high-performance towards applications at elevated temperatures.
Language: Английский
Citations
2Journal of Material Science and Technology, Journal Year: 2024, Volume and Issue: 222, P. 290 - 303
Published: Oct. 30, 2024
Language: Английский
Citations
1International Journal of Plasticity, Journal Year: 2024, Volume and Issue: unknown, P. 104226 - 104226
Published: Dec. 1, 2024
Language: Английский
Citations
1Published: Jan. 1, 2024
Language: Английский
Citations
0Scripta Materialia, Journal Year: 2024, Volume and Issue: 257, P. 116468 - 116468
Published: Nov. 26, 2024
Language: Английский
Citations
0