The SYNAPS-I project’s new agentic AI-driven platform allows scientists to use chat-powered exchanges to automate complex tasks, simplifying challenging workflows.
Argonne’s Advanced Photon Source X-ray beams reveal unexpected behavior of a thin film grown on a sapphire base, challenging conventional wisdom in microelectronics.
Enabling ultra-dense memory by controlling atomic-scale switching in emerging ferroelectric, spin and optically addressed materials — and translating that physics into system-level performance gains for faster, lower-power, higher-capacity computing.
A physics-informed AI framework that fuses multimodal experiments and multiscale simulations to predict how defects form, evolve and impact electrical and thermal performance in next-generation microelectronics.
A Center for Power Electronics Materials and Manufacturing Exploration (APEX) aims to enable a wider selection of materials and manufacturing methods used for next-generation power electronics.
Understanding interfacial properties in 2D/3D material stacks could enhance microelectronics, boosting system performance and efficiency through advanced synthesis and integration techniques.
AUREIS aims to develop the underpinning microelectronics technologies for ultrafast, energy-efficient, dense networks of sensors, large-area imagers and future detectors, solving the extreme data deluge problem.
2026R. Li, C. He, Y. Huang, E. Zhai, V. K. Sangwan, J. Zou, K. St. Luce, J. Cui, R. Kim, R. Liu, Z. Wang, X. Ling, X. Zhang, M. C. Hersam, Q. Xia, L. Katehi, Y. C.
