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About

Joshua M. Little is a rising star in the field of materials science and artificial intelligence, pioneering the use of machine intelligence to accelerate the discovery and design of next-generation materials. His research centers on the intersection of AI-driven materials discovery, sustainable polymers, and advanced nanomaterials for soft robotics. Little’s most impactful contribution is the development of a machine intelligence-accelerated workflow that led to the discovery of all-natural plastic substitutes, a breakthrough aimed at combating petrochemical plastic pollution (91 citations). He further demonstrated the power of this approach by designing conductive MXene aerogels with programmable properties (56 citations), showcasing how AI can navigate vast experimental parameter spaces to achieve tailored material performance. In his forward-looking work, Little has outlined a multiscale roadmap for intelligent, multifunctional soft robotics, integrating molecular design with machine-level functionality (23 citations). His earlier research on mechanically driven assembly of biomimetic 2D-material microtextures (7 citations) laid the groundwork for bioinspired multifunctionality. With over 177 citations and a rapidly growing portfolio, Joshua M. Little is establishing himself as a leader in AI-accelerated materials innovation, with the potential to transform sustainable manufacturing and soft robotics.