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1. Ultralight plasmonic structural color paint

   https://doi.org/10.1126/sciadv.adf7207  

   Cencillo-Abad, Pablo; Franklin, Daniel; Mastranzo-Ortega, Pamela; Sanchez-Mondragon, Javier; Chanda, Debashis (March 2023, Science Advances)

   An ultralight stand-alone plasmonic paint that can color large-scale objects is produced. 

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2. After the paint has dried: a review of testing techniques for studying the mechanical properties of artists’ paint

   https://doi.org/10.1186/s40494-021-00529-w  

   dePolo, Gwen; Walton, Marc; Keune, Katrien; Shull, Kenneth_R (June 2021, Heritage Science)

   Abstract While the chemistry of artists’ paints has previously been studied and reviewed, these studies only capture a portion of the properties affecting the response of paint materials. The mechanical properties of artists’ paints relate to the deformation response of these materials when a stress is applied. This response is dependent on many factors, such as paint composition, pigment to binder ratio, temperature, relative humidity, and solvent exposure. Here, thirty years of tensile testing data have been compiled into a single dataset, along with the testing conditions, to provide future researchers with easy access to these data as well some general discussion of their trends. Alongside the more commonly used techniques of tensile testing and dynamic mechanical analysis, new techniques have been developed to more fully investigate the mechanical properties, and are discussed along with salient results. The techniques have been divided into two categories: those that are restricted to use on model systems and those that are applicable to historic samples. Techniques applied to model systems (tensile testing, dynamic mechanic analysis, quartz crystal microbalance, vibration studies) require too large of a sample to be taken from art objects or focus on the mechanical properties of the liquid state (shear rheometry). Techniques applied to historic samples incorporate the use of small sample sizes (nanoindentation), optical techniques (laser shearography), computational simulations (finite element analysis), and non-invasive comparative mechanical properties (single-sided nuclear magnetic resonance) to investigate and predict the mechanical properties of paints. 

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3. Synthetic molecular recognition nanosensor paint for microalbuminuria

   https://doi.org/10.1038/s41467-019-11583-1  

   Budhathoki-Uprety, Januka; Shah, Janki; Korsen, Joshua A.; Wayne, Alysandria E.; Galassi, Thomas V.; Cohen, Joseph R.; Harvey, Jackson D.; Jena, Prakrit V.; Ramanathan, Lakshmi V.; Jaimes, Edgar A.; et al (December 2019, Nature Communications)
4. Game Data for the Paint Fever game

   https://doi.org/10.6084/m9.figshare.24422308  

   Altay Turkoglu, Ayca Turkoglu (January 2023, figshare)

   Game data collected through the "Paint Fever" game generated at the GRIST Lab for NSF Project 1901721 

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5. Plasmonic structural colour paint gets commercial attention

   https://doi.org/10.1038/s41565-023-01469-1  

   Moscatelli, Alberto (July 2023, Nature Nanotechnology)