Tünnermann, HenrikHenrikTünnermannChattopadhyay, UtsaUtsaChattopadhyayCarstens, FlorianFlorianCarstensSteinecke, MortenMortenSteineckeWienke, AndreasAndreasWienkeHartl, IngmarIngmarHartlAy, NihatNihatAyHeyl, Christoph M.Christoph M.Heyl2026-09-102026-09-102026Conference on Lasers and Electro-Optics, CLEO 2026https://hdl.handle.net/11420/64761We present a physics-informed neural network for optical coating design. We demonstrate state-of-the-art chirped mirror optimization and introduce a generalist model with parameter-efficient fine-tuning to rapidly generate high-precision designs for arbitrary targets.enComputer Science, Information and General Works::005: Computer Programming, Programs, Data and SecurityTechnology::600: TechnologyPhysics-informed inverse design of ultrafast coatings: from direct optimization to generalizable fine-tuningConference Paper10.1364/cleo_si.2026.sw1a.6