Compatibilities and supercompatibility conditions in shape memory alloys determined from correspondence, metrics and symmetries

Cyril Cayron · arXiv · 2025

The paper extends correspondence theory to compute austenite/martensite compatibility and austenite/martensite/martensite supercompatibility conditions in shape memory alloys.

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Plain English summary

Shape memory alloys change crystal structure during cooling and heating, producing martensite variants that must fit together at interfaces. Compatibility at these interfaces is important for reducing hysteresis and improving cycling performance. The abstract describes how the phenomenological theory of martensite crystallography (PTMC) uses cofactor conditions to identify “supercompatibility,” which supports low-hysteresis, high-cyclability alloys. It also notes that an alternative approach, correspondence theory (CT), has recently replaced some continuum-mechanics tools with crystallographic tools like metric tensors and symmetry groups. Here, the authors report that CT can be used not only to determine transformation twins that ensure martensite/martensite compatibility, but also to determine conditions for austenite/martensite compatibility and austenite/martensite/martensite (A/M/M) supercompatibility.

Why this matters

Extending correspondence theory to compute A/M compatibility and A/M/M supercompatibility conditions, beyond its prior use for martensite/martensite compatibility via transformation twins. No evidence in the abstract of prototypes, field testing, or commercial deployment.

Key findings

  • PTMC explains key martensite crystallographic features and provides supercompatibility via cofactor conditions.
  • Correspondence theory (CT) can directly calculate transformation twins and their generic/non-generic characteristics.
  • CT is extended to determine austenite/martensite (A/M) compatibility conditions.
  • CT is also used to determine A/M/M supercompatibility conditions.

Limitations

The abstract does not specify experimental validation, material systems, numerical results, or how the new CT-derived conditions compare quantitatively to PTMC cofactor conditions.

Publication

Publisher
arXiv
Publication date
November 1, 2025
Research type
Preprint
arXiv
2511.00633
Access
open

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Method note: Summaries and ratings on this page are generated by AI from the abstract only. Read the original paper for full context. · Model: gpt-5.4-nano-2026-03-17