ABSTRACT Interdisciplinary collaboration is essential for developing advanced smart materials, yet coordinating diverse expertise remains a significant bottleneck. In a recent study published in Nature , a Virtual Lab where autonomous AI agents collaborate to design functional nanobodies with minimal human intervention was introduced. This work exemplifies a transformative paradigm in AI for Science, demonstrating a versatile multi‐agent architecture that is agnostic to specific domains. Here, we discuss how this framework can be adapted to materials science, offering a blueprint for autonomous discovery in next‐generation smart materials.
Zhang et al. (2026) studied this question.