The interface between art and science is an increasingly recognized source of innovation, yet explorations tend to skew toward art reaping the benefits of scientific developments. While, today, art is often freely embraced within scientific fields, it is rarely afforded the freedom to transform scientific research. The authors explore a new paradigm of “art-inspired science” by reimagining and computationally simulating an existing artwork as a dynamic body of cohesive particles. In the process, hanging forms of “granular stalactites” are identified and subsequently reproduced in an idealized simulated system. A theoretical “stickiness” model was then developed to predict their maximum height, which could have wide technological application. Artworks may therefore serve as catalysts for distinctive scientific research, allowing a mutually productive relationship between the disciplines.