Ibrahim's work explores the speculative boundaries of materials science, utilizing computational tools to interrogate the potential of yet-unrealized substances and structures. Inspired by the intricate patterns found in Maldivian crafts, the elegance of calligraphic forms, and the structured precision of cartography, he employs machine learning algorithms to generate predictive models of material behavior. These models are not ends in themselves, but rather serve as starting points for a rigorous exploration of design possibilities, ultimately revealing the latent potential within theoretical material forms. He uses algorithms to not only discover but also to predict and extrapolate, creating visual representations that echo the intricate beauty of natural phenomena and mathematical equations. Ibrahim's detailed representations of these hypothetical materials serve as a form of visual argument, projecting a future where such computational analyses could unveil novel material compositions, pushing the boundaries of what is physically possible. The process is meticulous, driven by a precise synthesis of data-driven insights and an informed aesthetic sensibility, blurring the line between scientific inquiry and artistic expression. The resulting works invite contemplation on the interconnectedness of form, function, and possibility, suggesting that new understandings of the physical world can emerge from the interplay of computational analysis and artistic vision. Through this, His designs showcase potential, not for immediate application, but for contemplation and critical analysis, thereby providing the viewer an active role in assessing that potential.