Welcome to the Multiphysics Multiscale Intelligent Design (MIND). We study the exciting intersection of artificial intelligence and the design, optimization, and implementation of multiphysics and multiscale systems. Our interdisciplinary lab is at the forefront of innovation, employing advanced technologies to tackle complex challenges across various manufacturing application domains.

Our primary research interest lies in harnessing the power of Artificial Intelligence (AI) to revolutionize the design and optimization of complex systems. By seamlessly integrating digital simulations and Machine Learning models, we aim to develop robust solutions that address real-world problems. One of the key aspects of our research is the implementation of Digital Twins for multiphysics systems, allowing us to create virtual counterparts that mirror the behavior of physical systems, enabling accurate predictions and informed decision-making.

The application areas of our research program are diverse and impactful. Firstly, we research Multifunctional Composites, exploring their potential in areas such as photoacoustics, optics, surface coatings, electromagnetic interference (EMI) mitigation, and flexible electronics. Secondly, our research extends to 3D Heterogeneous Integration of Electronics Packaging, aiming to achieve high performance and reliability in electronic systems. Thirdly, we research the development of Next-generation Smart Materials tailored for ultrasound and piezoelectric applications, pushing the boundaries of what is currently possible in these fields. Lastly, our research focuses on the design and experimental validation of Hybrid Composite Materials that enable the widespread adoption of lightweight, high-performance composites in automobiles and large-scale marine vessels.

As we embark on this scientific journey, our goal is to contribute groundbreaking solutions that not only advance the field of multiphysics and multiscale systems but also pave the way for transformative applications in various industries. Join us as we explore the limitless possibilities at the intersection of artificial intelligence and the physical world.

Potential graduate students are encouraged to contact Dr. Jon Ryu (jryu@ncsu.edu) and the MAE Graduate Office for application information. Potential post-docs and undergraduates can direct their inquiries to Dr. Ryu.

• NCSU MAE Graduate Admission Requirement
• NCSU Graduate Application
• Office of International Services (for international students)
• Graduate Fellowships and Grants

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