Review and analysis of generative artificial intelligence research artificial intelligence in the creation of bioinspired materials for additive manufacturing

Authors: Khokhlov A.V.
Published in issue: #5(100)/2025
DOI:
Category: Informatics, Computer Engineering and Control | Chapter: Information Technology. Computer techologies. Theory of computers and systems
Keywords: generative artificial intelligence, large language models, additive manufacturing, bioinspired materials, VQVAE-GAN, genetic algorithms, 3D printing, process optimization
Published: 30.06.2025

The paper presents an analytical review of literary sources by foreign authors carried out over the past decade. The integration of generative artificial intelligence and large language models into the design and production of bioinspired and mechanical materials is considered. The significant potential of combining modern approaches with genetic algorithms for optimizing additive manufacturing parameters has been demonstrated. Experiments with various language models, such as GPT-4 and Claude-2, demonstrate their ability to manipulate and debug G-code. It is shown that genetic algorithms demonstrate their effectiveness in solving complex design problems, minimizing material consumption. The use of generative artificial intelligence in additive manufacturing has been proven to automate 3D printing, reducing the need for operators and increasing overall process efficiency.

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