Designing an interactive musical periodic table: sonification of visible element emission spectra

What does the element helium sound like? What about hydrogen? While these may seem like absurd questions, the process of data sonification can be used to convert the visible spectra of chemical elements into sounds. When stimulated by electricity or heat, elements release distinct wavelengths of light depending on their electron energy levels—a sort of “chemical footprint” unique to every element. These frequencies of light, which we perceive as different colors, can be scaled into the audio range to yield different sonic frequencies, allowing one to hear the different sounds of chemical elements. This research project involved the construction of an interactive musical periodic table, combining musical and visual representations of elemental spectra from high-resolution spectral datasets.
The interactive periodic table was designed using Max/MSP, a programming language that uses digital signal processing (DSP) algorithms to generate real-time audio and visual outputs. This allows all spectral lines of an element to be played simultaneously (as a “chord”) or for individual lines to be played in succession (as a “melody”). This highly interdisciplinary project has applications spanning data analysis, STEAM (STEM + Arts) education, and public science outreach. Sonification of scientific data provides alternative methods of analysis that can expand access of such data to blind and visually impaired people. Sonification can even enhance data analysis via traditional data visualization by providing a supplementary layer of auditory information, and sonification-based learning models have been shown to improve student engagement and understanding of scientific concepts like protein folding.
This program is currently being implemented in several middle and high school music and science classes, as well as a public music/science show titled “The Sound of Molecules” at WonderLab Museum of Science. Future work will focus on designing a free and open-source version of the program that does not require specialized DSP software.