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Can I read Towards stacking fault energy engineering in FCC high entropy alloys on EtoBox?

Towards stacking fault energy engineering in FCC high entropy alloys by Tasneem Z. Khan; Tanner Kirk; Guillermo Vazquez; Prashant Singh; A.V. Smirnov; Duane D. Johnson; Khaled Youssef; Raymundo Arróyave is a Engineering article available to read on EtoBox.

What is Towards stacking fault energy engineering in FCC high entropy alloys about?

Stacking Fault Energy (SFE) is an intrinsic alloy property that governs much of the plastic deformation mechanisms observed in fcc alloys. While SFE has been recognized for many years as a key intrinsic mechanical property, its inference via experimental observations or prediction using, for example, computationally intensive first-principles methods is challenging. This difficulty precludes the explicit use of SFE as an alloy design parameter. In this work, we combine DFT calculations (with necessary configurational averaging), machine-learning (ML) and physics-based models to predict the SFE in the fcc CoCrFeMnNiV-Al high-entropy alloy space. The best-performing ML model is capable of accurately predicting the SFE of arbitrary compositions within this 7-element system. This efficient model along with a recently developed model to estimate intrinsic strength of fcc HEAs is used to explore the strength-SFE Pareto front, predicting new-candidate alloys with particularly interesting mechanical behavior.

Who reads Towards stacking fault energy engineering in FCC high entropy alloys?

It is typically read by researchers, students, and practitioners in Engineering.

Author
Tasneem Z. Khan; Tanner Kirk; Guillermo Vazquez; Prashant Singh; A.V. Smirnov; Duane D. Johnson; Khaled Youssef; Raymundo Arróyave
Publisher
Elsevier BV
Published
2022
Language
EN
Field
Engineering (Physical Sciences)

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