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About

Mingxi Chen is a pioneering researcher at the intersection of materials science and artificial intelligence, with key contributions in metal–organic frameworks (MOFs) and bio-inspired electronic devices. Chen’s most impactful work, “AI-driven advances in metal–organic frameworks: from data to design and applications” (2025, 30 citations), addresses the immense chemical design space of MOFs—versatile porous materials with applications in gas storage, carbon capture, and biomedicine. By integrating AI-driven approaches, Chen has accelerated the discovery and optimization of these materials, offering transformative pathways for sustainable energy and environmental technologies. In a strikingly different vein, Chen’s “Bio-inspired organic electrosense transistor for impalpable perception” (2025, 4 citations) introduces an organic transistor that mimics the electrosensory capabilities of electrogenic fishes, enabling detection of electric fields in obscured or opaque environments. This work expands the frontiers of artificial sense technologies beyond visual and tactile inputs, with potential implications for robotics and environmental monitoring. With a growing citation record and a knack for bridging computational design and bio-inspired electronics, Chen is emerging as a versatile innovator whose work promises to reshape both materials engineering and sensory technology.