Biomaterials Research-Driven Design Visualized by AI Text-Prompt-Generated Images

AI text-to-image generated images have revolutionized the design process and its rapid development since 2022. Generating various iterations of perfect renders in few seconds by textually expressing concept. This high-potential tool has opened wide possibilities for biomaterials research-driven design. That is based on developing multi-scale applications realm built environment. From furniture to architectural elements architecture. approach been augmented massive capacity models visualize high-fidelity innovative that reflect very detailed physical characteristics proposed from micro macro. However, this aided requires criteria evaluating role efficiency employing image generation process. Furthermore, focused not only studies but also engineering research process, it a sufficient method protecting novelty copyrights. Since their emergence late 2022, raising alarming ethical concerns about authorship designer establishment referencing protect copyrights designers these as well authors training data proposing an auxiliary model automatic AI-generated well. Thus, current work assesses methodology operation analyzing two case projects performed models. Based results analysis, will be presented fair practice AI-aided