Miha Brojan
Papers
2
Total Citations
35
H-Index
2
About
Miha Brojan is a leading researcher in the mechanics of soft morphing structures, specializing in the inverse design of composites and kirigami-based systems. His work bridges machine learning and structural mechanics, most notably through the application of generative adversarial networks (GANs) to engineer materials with targeted shape transformations. Brojan’s 2024 paper on the inverse design of soft morphing composite beams (20 citations) introduced a novel framework for navigating the multiple fabrication solutions inherent in tailoring material properties. He extended this approach in 2025 to self-deploying soft kirigami composites (15 citations), enabling compact structures that autonomously transition into stable, functional configurations—a breakthrough with direct implications for soft robotics, biomedical devices, and biomimetic systems. By replacing trial-and-error methods with data-driven design, Brojan’s work accelerates the development of customized morphing structures. His research is highly cited for its practical relevance and methodological innovation, positioning him at the forefront of computational design for adaptive materials.
Research Focus
Key Achievements
Top Papers
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