a _{2}^{2}$, the adsorption energy between colloids and droplets is much larger than the total repulsive energy. Therefore, we observe mostly closed structures \[Fig. \[fig:hist2\](c)\].

At a larger size asymmetry of $\sigma_{1}=2.0\sigma_{2}$, but at the same interfacial tension $\gamma=40, 100\, k_{\textrm{B}}T/\sigma _{2}^{2}$ \[Fig. \[fig:hist2\](b),(f) and \[fig:hist2\](c),(f)\] we observe a decrease of the number of large clusters, while the yield of smaller clusters increases.

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   ![image](fig8a){width="5.9cm"}   ![image](fig8b){width="5.9cm"}   ![image](fig8c){width="5.9cm"}
   ![image](fig8d){width="5.9cm"}   ![image](fig8e){width="5.9cm"}   ![image](fig8f){width="5.9cm"}
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Summary and Conclusions {#s:conc}
=======================

We investigated the cluster formation process of a mixture of colloidal dumbbells and droplets via emulsion droplet evaporation using Metropolis-based kinetic Monte Carlo simulations. The short-ranged attraction between colloids has a potential well depth of $9k_{\textrm{B}}T$ in order to ensure that neither dumbbells nor clusters are likely to break apart due to thermal fluctuations. In addition, the height of the repulsive barrier between colloids is about $9k_{\textrm{B}}T$, which is a large enough value to avoid spontaneous formation of clusters. The droplet-droplet interaction is a hard-sphere repulsion with an effective hard-sphere diameter chosen so that any two droplets cannot merge. The adsorption interaction between colloids and droplets has a minimum at the droplet surface to model the Pickering effect. In experiments, this energy has values up to millions of $k_{\textrm{B}}T$, depending on the contact angle, interfacial tension and particle size [@Aveyard2003]. In our simulations, however, we limited the colloid-droplet adsorption energy below $100k_{\textrm{B}}T