Infrared Nanoimaging of Hydrogenated Perovskite Nickelate Synaptic Devices
Sampath Gamage, Sukriti Manna, Marc Zajac, Steven Hancock, Qi Wang,, Sarabpreet Singh, Mahdi Ghafariasl, Kun Yao, Tom Tiwald, Tae Joon Park, David, P. Landau, Haidan Wen, Subramanian Sankaranarayanan, Pierre Darancet, Shriram, Ramanathan, Yohannes Abate

TL;DR
This study uses operando infrared nanoimaging to visualize how hydrogen dopants distribute and influence conductivity in perovskite nickelate devices, revealing nanoscale mechanisms crucial for neuromorphic computing.
Contribution
It introduces a novel nanoscale imaging approach to understand dopant behavior and its impact on device properties in correlated oxides.
Findings
Dopant distribution forms stripe phases affecting macroscale conductivity.
Multiple vibrational states of hydrogen are mapped and linked to dopant concentration.
Lattice expansion acts as a barrier to further dopant diffusion.
Abstract
Solid-state devices made from correlated oxides such as perovskite nickelates are promising for neuromorphic computing by mimicking biological synaptic function. However, comprehending dopant action at the nanoscale poses a formidable challenge to understanding the elementary mechanisms involved. Here, we perform operando infrared nanoimaging of hydrogen-doped correlated perovskite, neodymium nickel oxide (H-NdNiO3) devices and reveal how an applied field perturbs dopant distribution at the nanoscale. This perturbation leads to stripe phases of varying conductivity perpendicular to the applied field, which define the macroscale electrical characteristics of the devices. Hyperspectral nano-FTIR imaging in conjunction with density functional theory calculations unveil a real-space map of multiple vibrational states of H-NNO associated with OH stretching modes and their dependence on the…
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Taxonomy
TopicsAdvanced Memory and Neural Computing · Perovskite Materials and Applications · Transition Metal Oxide Nanomaterials
