English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Understanding the impact of the complex meso-scale morphology is critical for the development of organic semiconductor materials and devices. This is particularly important in organic photovoltaics (OPVs), where a blend of two or more components phase separates to form a bulk heterojunction (BHJ) structure. To build better structure-property models for organic BHJ photovoltaics, the simple Ising-based morphology model has proven to be a highly useful tool when coupled with kinetic Monte Carlo (KMC) simulations.(Heiber, Wagenpfahl, & Deibel, 2019) Ising_OPV was originally designed as an efficient, opensource C++ tool that would enable researchers in the community to have easy access to this morphology model and allow them to create well-controlled morphologies on an HPC cluster for KMC simulations.(Heiber & Dhinojwala, 2014) Demonstrating the utility of this tool, the ability to systematically control the domain size allowed a detailed investigation of the charge carrier recombination kinetics in OPVs.(Heiber, Baumbach, Dyakonov, & Deibel, 2015, Heiber, Nguyen, & Deibel (2016)) The tool can also create controlled interfacial mixing, which can be important for simulating the exciton dissociation dynamics and charge separation yield in OPVs.(Lyons, Clarke, & Groves, 2012, Heiber & Dhinojwala (2013)) In addition, the tool was later updated to add new features that allow further structural control and quantification of important morphological features, most importantly the domain tortuosity.(Heiber et al., 2017) The tool has also been used as a testbed for developing more advanced 3D image analysis methods.(Aboulhassan, Sicat, Baum, Wodo, & Hadwiger, 2017)

Ising\_OPV v4.0: Experimental Tomography Data Import, Interpretation, and Analysis