Neuromorphic Computing Platform In Perovskite Nickelates (UCSD, Rutgers)

Researchers from UCSD and Rutgers University have published a technical paper introducing a neuromorphic computing platform using perovskite nickelates. This platform combines nonlinear spatiotemporal processing and programmable memory within a single material system. By engineering symmetric and asymmetric hydrogenated NdNiO3 junction devices, the platform achieves ultrafast proton-mediated transient dynamics and stable multilevel resistance states. Networks of symmetric NdNiO3 junctions demonstrate emergent spatial interactions mediated by proton redistribution, enabling real-time pattern recognition and high accuracy in tasks like spoken digit classification and early seizure detection. The platform is described as compact, energy-efficient, and CMOS-compatible, offering integrated processing and memory capabilities for scalable intelligent hardware.