Publication date: 15th December 2025
Colloidal InAs nanocrystals have become a central Pb-free material platform for infrared harvesting, where their performance is ultimately dictated by the underlying chemistry that governs nucleation, growth, and electronic structure. This talk will explore how controlling precursor reactivity, surface coordination, and dopant incorporation enables predictable tuning of size, defects, and carrier polarity in InAs systems. I will introduce recent approaches that use post-synthetic dopants to modulate semiconductor polarity and energy levels, providing a chemical route to optimize band alignment and suppress dark current in solution-processed photodetectors. In parallel, I will discuss how machine-learning analysis of high-dimensional spectroscopic data reveals hidden reaction intermediates and growth pathways, offering mechanistic insight that is difficult to access experimentally. Together, these advances illustrate how data-driven discovery and molecular-level chemical design converge to establish a synthetic toolbox for achieving high-quality, infrared-responsive InAs nanocrystals. This chemistry-driven perspective points toward more efficient, stable, and scalable infrared photodetectors built entirely from solution.
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