Sambur, Justin B.Evans, R. ColbyEllingworth, AustinCashen, Christina J.Weinberger, C. R.2019-05-162019-05-162019https://hdl.handle.net/10217/195014https://dx.doi.org/10.25675/10217/195014The .zip file contains the source code and associated data to process the raw image files in the Raw Image Files folder. The metadata.txt file describes the attached files. The .m files are commented so that the user can reproduce the optical density trajectory analysis procedure.Authors are from: Department of Chemistry, Colorado State University, Fort Collins, CO, 80523, USA, Department of Statistics, Winona State University, Winona, MN, 55987, USA, Department of Mechanical Engineering, Colorado State University, Fort Collins, CO, 80523, USA, School of Advanced Materials Discovery (SAMD), Colorado State University, Fort Collins, CO, 80523, USA.Department of Mechanical EngineeringDepartment of ChemistryNanomaterials have tremendous potential to increase electrochromic smart window efficiency, speed, and durability. However, nanoparticles vary in size, shape, and surface defects, and it is unknown how nanoparticle heterogeneity contributes to particle dependent electrochromic properties. Here, we use single-nanoparticle level electro-optical imaging to measure structure–function relationships in electrochromic tungsten oxide nanorods. Single nanorods exhibit a particle-dependent waiting time for tinting (from 100 ms to 10 s) due to Li-ion insertion at optically inactive surface sites. Longer nanorods tint darker than shorter nanorods and exhibit a Li-ion gradient that increases from the nanorod ends to the middle. The particle-dependent ion-insertion kinetics contribute to variable tinting rates and magnitudes across large-area smart windows. Next, we quantified how particle–particle interactions impact tinting dynamics and reversibility as the nanorod building blocks are assembled into a thin film. Interestingly, single particles tint 4 times faster and cycle 20 times more reversibly than thin films made of the same particles. These findings allow us to propose a nanostructured electrode architecture that optimizes optical modulation rates and reversibility across large-area smart windows.ZIPTIFFCSVTXTPDFMATLABengnanomaterialselectrochromic propertiessingle-nanoparticleelectro-optical imagingDatasetThe material is open access and distributed under the terms and conditions of the Creative Commons Attribution Share-Alike International License (http://creativecommons.org/licenses/by-sa/4.0/).