Papers
2
Total Citations
26
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2
About
Jeny Gosai is a rising researcher in the field of emerging memory technologies, with a primary focus on resistive switching mechanisms in hybrid organic-inorganic perovskites for neuromorphic and in-memory computing applications. Her work has been instrumental in advancing the understanding of how interfacial layers and structural phases—such as Dion-Jacobson and Ruddlesden–Popper (RP) perovskites—can be engineered to achieve reliable, low-power memristive behavior. In her most-cited paper (2023, 22 citations), Gosai investigated the role of interfacial layers in hybrid Dion-Jacobson perovskite-based memristors, demonstrating how these structures enable multilevel storage and history-dependent conductivity modulation—key features for overcoming the von Neumann bottleneck. Her more recent work (2025) explores fluorinated RP perovskite-based diffusive memristors for nociceptor (pain-sensing) applications, pushing the boundaries of bio-inspired computing. By tailoring perovskite compositions and device architectures, Gosai is contributing to the development of next-generation hardware for artificial neural networks and sensory systems. Her research sits at the intersection of materials science, device physics, and neuromorphic engineering, offering promising pathways toward energy-efficient, brain-inspired computing.
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