This $400,000 Project Grant from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) supports research at Cornell University from January 1, 2023 to December 31, 2026. The grant funds development of a novel paradigm for scalable, continuous manufacturing of programmable polymer nanoparticles using low-temperature initiated chemical vapor deposition guided by artificial intelligence. Researchers will advance fundamental principles for reproducible production of polymer nanoparticles with expanded diversity in sizes, shapes, and chemical functionalities for broad applications. This will be achieved through breakthroughs in AI-enabled selection of complex processing conditions for chemical vapor deposition synthesis and in-line characterization of polymeric nanostructures. A $124,125 sub-award to North Carolina State University supports controlled deposition of silane self-assembled monolayers with organic functionalities to generate gradient surfaces for templating the chemical vapor deposition polymerization. Findings are expected to enable an unprecedented, scalable manufacturing technology for polymer structures not achievable through traditional means.