Self-Driving Laboratories for Mapping Emerging Phenomena in Halide Perovskite Nanomaterials
Milad Abolhasani a
a North Carolina State University, Department of Chemical and Biomolecular Engineering, Partners Way, 911, Raleigh, United States
Proceedings of MATSUS Fall 2026 Conference (MATSUSFall26)
B1 Fundamentals and Emerging Phenomena in Halide Perovskites
Palma, Spain, 2026 October 26th - 30th
Organizers: Sascha Feldmann, Paulina Plochocka and Alexander Urban
Invited Speaker, Milad Abolhasani, presentation 019
Publication date: 22nd July 2026

Halide perovskite nanomaterials provide a powerful platform for studying how synthesis conditions control nucleation, growth, compositional evolution, dopant incorporation, dimensionality, and light–matter interactions. However, these materials often form through fast, coupled, and highly condition-dependent pathways, making it difficult to resolve how precursor chemistry, reaction environment, and processing history collectively determine their optical properties. In this talk, I will discuss how self-driving laboratories can accelerate the experimental interrogation of these complex reaction spaces by integrating automated synthesis, in situ/online optical characterization, and machine-learning-guided experiment selection. I will highlight recent work from our group on flow- and batch-based autonomous platforms for metal halide perovskite quantum dots and low-dimensional perovskite nanostructures, including autonomous optimization of emission properties, data-rich mapping of dopant-mediated photoluminescence, accelerated exploration of anion-exchange and photoinduced transformation pathways, and synthesis–property modeling across high-dimensional experimental spaces. These studies show how autonomous experimentation can move beyond empirical materials optimization to uncover non-intuitive reaction conditions, identify key synthetic variables governing optical response, and generate mechanistic insight into how halide perovskite nanomaterials form, transform, and emit.

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