AI-Driven Microelectronics: a Morgan State University and Johns Hopkins University Venture

Positioned at the crossroads of chemistry, physics, and chemical engineering, the semiconductor (microelectronics) industry plays a pivotal role in fostering a more sustainable, intelligent, and interconnected world. This field is essential for driving technological breakthroughs and tackling global energy challenges through innovations in microprocessors, solar cells, LEDs, and power transistors.

Reaching the Future

For students passionate about staying connected, semiconductor advancements have fueled the rise of the internet, 5G networks, and the Internet of Things (IoT). Tech enthusiasts fascinated by smart devices—such as iPhones, Fitbits, and autonomous vehicles—will find this industry brimming with exciting possibilities. As a highly complex yet forward-thinking sector, its ongoing success is vital to maintaining U.S. economic and technological leadership, offering rewarding and well-compensated career opportunities for those who step into this dynamic field.

Our Mission

To build a new workforce for the electronics industries through “tri-lingual” graduates with technical and professional depth in Semiconductor materials AI/ML Business and innovation ​


Welcome to the Center for AI-Driven Advancements in Microelectronics.

ADAM strives to provide global intellectual leadership to advance the fundamental sciences associated with materials and structures of microelectronics while demonstrating extreme performance.

Research Areas

The research team integrates expertise across AI/ML, computational modeling, material discovery, and semiconductor processing. Areas of focus include integrated photonics hardware, parametric nonlinear optics, and novel photonic materials, as well as AI/ML-driven multiscale modeling and nonequilibrium molecular dynamics. Additional strengths include nanomaterials synthesis, operando spectroscopy, and device integration. Research spans secure autonomous systems, computer vision, IoT, and emerging non-von Neumann computational architectures. Innovation in leadership and technology design further supports the initiative, alongside expertise in wide bandgap, 2D/3D materials, quantum and low-dimensional materials, optoelectronics, and advanced optical modeling.

People

The collaborative research team, led by PI Paulette Clancy in Chemical and Biomolecular Engineering at Johns Hopkins University, integrates expertise across AI/ML, computational modeling, material discovery, and semiconductor processing. Co-PI Amy Foster (Electrical & Computer Engineering, JHU) contributes leadership in integrated photonics hardware and nonlinear optics, while Co-PI Rigoberto Hernandez (Chemistry, JHU) focuses on AI/ML and multiscale modeling of nonequilibrium molecular dynamics. Co-PI Thomas Kempa (Chemistry, JHU) brings strengths in nanomaterials synthesis, operando spectroscopy, and device integration. From Morgan State University, Co-PI Kofi Nyarko (Computer Science) advances AI/ML, computer vision, IoT, and TinyML, while Co-PI Onyema Osuagwu (Electrical & Computer Engineering) leads research in secure autonomous systems and emerging computational architectures. Co-PI Michael Spencer (Electrical & Computer Engineering, MSU) specializes in wide bandgap and 2D/3D materials for power and microwave electronics. Additional leadership comes from Co-PI Pam Sheff (Center for Leadership Education, JHU), with expertise in innovation and design for technology, and Co-PI Susanna Thon (Electrical & Computer Engineering, JHU), whose work centers on quantum and low-dimensional materials, optoelectronics, and optical modeling.