Conclusion In conclusion, while CNN-enabled ultra-fast microstructure evolution simulation has achieved much success recently, in this research, it is newly proposed for the spinodal decomposition process and, for the first time, towards solving a practically significant problem: generation and design of high-performance stochastic biomaterials.
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Machine learning unifies flexibility and efficiency of spinodal structure generation for stochastic biomaterial design.
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