The Journal of Physical Chemistry Letters · 2017 · 334 citations · 48 references
Natural SciencesChemistryMaterials ScienceComputational ChemistrySemiconductor MaterialsSurface ScienceNanoparticle SurfacesQuantum DotsSemiconductor InterfacesSemiconductor NanomaterialsSemiconductor PhysicsSemiconductor SurfacesColloidal Quantum DotsColloidal Semiconductor NanocrystalsElectronic Trap StatesNanocrystalsOptoelectronic PropertiesSemiconductor Quantum DotsTrap StatesTraps
High Resolution Image Download MS PowerPoint Slide Surface traps are ubiquitous to nanoscopic semiconductor materials. Understanding their atomistic origin and manipulating them chemically have capital importance to design defect-free colloidal quantum dots and make a leap forward in the development of efficient optoelectronic devices. Recent advances in computing power established computational chemistry as a powerful tool to describe accurately complex chemical species and nowadays it became conceivable to model colloidal quantum dots with realistic sizes and shapes. In this Perspective, we combine the knowledge gathered in recent experimental findings with the computation of quantum dot electronic structures. We analyze three different systems: namely, CdSe, PbS, and CsPbI 3 as benchmark semiconductor nanocrystals showing how different types of trap states can form at their surface. In addition, we suggest experimental healing of such traps according to their chemical origin and nanocrystal composition.
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