Litcius/Paper detail

Area-Selective Atomic Layer Deposition for Resistive Random-Access Memory Devices

Il‐Kwon Oh, Asir Intisar Khan, Shengjun Qin, Yujin Lee, H.‐S. Philip Wong, Eric Pop, Stacey F. Bent

2023ACS Applied Materials & Interfaces12 citationsDOI

Abstract

Resistive random-access memory (RRAM) is a promising technology for data storage and neuromorphic computing; however, cycle-to-cycle and device-to-device variability limits its widespread adoption and high-volume manufacturability. Improving the structural accuracy of RRAM devices during fabrication can reduce these variabilities by minimizing the filamentary randomness within a device. Here, we studied area-selective atomic layer deposition (AS-ALD) of the HfO 2 dielectric for the fabrication of RRAM devices with higher reliability and accuracy. Without requiring photolithography, first we demonstrated ALD of HfO 2 patterns uniformly and selectively on Pt bottom electrodes for RRAM but not on the underlying SiO 2 /Si substrate. RRAM devices fabricated using AS-ALD showed significantly narrower operating voltage range (2.6 × improvement) and resistance states than control devices without AS-ALD, improving the overall reliability of RRAM. Irrespective of device size (1 × 1, 2 × 2, and 5 × 5 μm 2 ), we observed similar improvement, which is an inherent outcome of the AS-ALD technique. Our demonstration of AS-ALD for improved RRAM devices could further encourage the adoption of such techniques for other data storage technologies, including phase-change, magnetic, and ferroelectric RAM.

Topics & Concepts

Resistive random-access memoryAtomic layer depositionMaterials scienceFabricationOptoelectronicsDielectricPhotolithographyReliability (semiconductor)Neuromorphic engineeringNanotechnologyData retentionSubstrate (aquarium)Non-volatile memoryLayer (electronics)VoltageComputer scienceElectrical engineeringArtificial neural networkAlternative medicineMachine learningEngineeringPower (physics)MedicineGeologyPhysicsQuantum mechanicsPathologyOceanographyAdvanced Memory and Neural ComputingFerroelectric and Negative Capacitance DevicesSemiconductor materials and devices