journal article·2026-06-12Open access

Electromagnetic Radiation Stimulated Learning in Perovskite Nickelates

Ranjan Kumar Patel, Kabir Zama, Matthew Smart, Ramya Eathirajan, Ivan Seskar, Narayan Mandayam, Guangxin Ni, Martin Mönnigmann, Shriram Ramanathan

Abstract

ABSTRACT Biological plasticity refers to the ability of synapses to strengthen or weaken over time. These adaptive properties play a fundamental role in learning and memory, spanning many orders of magnitude in timescales. Short‐term plasticity (STP) arises from rapid correlative activity, while long‐term plasticity (LTP) is governed by slower biochemical processes. Here, we investigate electromagnetically driven relaxation dynamics in perovskite nickelate thin films as an analogue of biological learning behaviors. By comparing radio frequency (RF), infrared (IR), visible, and ultraviolet (UV) radiation as stimuli, we find that RF excitation primarily induces STP, while visible and IR illumination lead to reversible relaxation on behavioral timescales. In contrast, UV illumination results in persistent, non‐thermal changes in conductivity over extended timescales. Notably, UV‐exposed nickelate films exhibit glass‐like dynamics, characterized by stretched exponential relaxation and aging phenomena. The films display habituation to repeated stimuli, along with sensitization and spontaneous recovery under controlled environments. A minimal dynamical systems model captures key qualitative features of the UV‐induced resistance changes. Our results demonstrate that electromagnetic frequency enables multi‐timescale relaxation spanning nearly nine orders of magnitude, suggesting perovskite nickelates as promising platforms for adaptive optoelectronic hardware and for linking computational neuroscience with emerging quantum technologies.
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Research context

OpenAlex topics: Advanced Memory and Neural Computing · Perovskite Materials and Applications · Multiferroics and related materials

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Electrical and Computer Engineering Rutgers University Piscataway New Jersey USA

Lewis‐Sigler Institute of Integrative Genomics Princeton University Princeton New Jersey USA

Department of Physics Florida State University Tallahassee Florida USA

National High Magnetic Field Laboratory Tallahassee Florida USA

WINLAB Rutgers University North Brunswick New Jersey USA

Department of Mechanical Engineering Ruhr University Bochum, Bochum, Germany

Funding

Air Force Office of Scientific Research · National Science Foundation · U.S. Department of Energy

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