A GAN inversion method coupled with property prediction enables inverse design of NiTi-based SMAs, with experimental validation yielding an alloy at 404°C transformation temperature and 9.9 J/cm³ work output.
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Generative Inversion for Property-Targeted Materials Design: Application to Shape Memory Alloys
A GAN inversion method coupled with property prediction enables inverse design of NiTi-based SMAs, with experimental validation yielding an alloy at 404°C transformation temperature and 9.9 J/cm³ work output.