Autonomous Synthesis of Two-Dimensional (2D) Materials
(ACVD-2D)
Develop an AI-enabled autonomous chemical vapor deposition (CVD) platform to establish the growth science of wafer-scale 2D semiconductors. By integrating robotics, characterization, digital twins, and self-improving AI, this thrust will enable reproducible, scalable synthesis and accelerate the discovery of growth mechanisms governing next-generation 2D electronic and quantum materials.

Autonomous Synthesis of Bulk Oxide Semiconductors
(AT-BuS)
Develop an autonomous thermal processing platform for the synthesis and optimization of functional bulk oxide semiconductors. Closed-loop experimentation combining robotic sample handling, AI-guided process optimization, and digital twins will accelerate the discovery of composition–processing–property relationships for advanced electronic and energy materials.

Autonomous Synthesis of Oxide Thin Films
(APVD-OTF)
Develop an autonomous physical vapor deposition (PVD) platform for high-quality oxide thin films with precisely controlled composition and microstructure. AI-driven optimization and integrated characterization will enable rapid exploration of multidimensional process spaces and establish predictive synthesis strategies for functional oxide devices.

Autonomous Synthesis of Diamond Thin Films
(AMPCVD-DIA)
Develop an autonomous microwave plasma CVD platform to enable scalable synthesis of high-quality diamond thin films for next-generation power electronics and quantum technologies. The integration of robotics, digital twins, and self-improving AI will uncover the fundamental growth mechanisms required for reproducible, manufacturable

