Data for: Excited state opto-ionic reservoir computing in hybrid Perovskite electrochemically-gated luminescent cells
This dataset contains measurement data related to the paper "Excited State Opto-Ionic Reservoir Computing in Hybrid Perovskite Electrochemically-Gated Luminescent Cells". The data originates from optical and electrical experiments investigating neuromorphic reservoir computing based on opt...
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| Main Author: | |
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| Format: | Research Data |
| Language: | English |
| Published: |
Stuttgart
Universität Stuttgart
2026
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| Edition: | Version: 1.0 |
| DOI: | 10.18419/DARUS-5656 |
| Subjects: | |
| Online Access: | Resolving-System, kostenfrei: https://doi.org/10.18419/DARUS-5656
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| Author Notes: | Philipp Kollenz |
| Summary: | This dataset contains measurement data related to the paper "Excited State Opto-Ionic Reservoir Computing in Hybrid Perovskite Electrochemically-Gated Luminescent Cells". The data originates from optical and electrical experiments investigating neuromorphic reservoir computing based on opto-ionic dynamics in hybrid lead-halide perovskite devices.The measurements were performed on electrochemically gated MAPbBr₃ perovskite microcrystal films and single-crystal devices. Input signals were encoded as phase-modulated optical excitation pulses synchronized with an applied alternating voltage. The resulting system response was recorded primarily via spatially and temporally resolved photoluminescence (PL) microscopy, complemented by spectroscopic, lifetime, and X-Ray diffraction measurements. Photoluminescence intensity and dynamics represent the internal state of the opto-ionic reservoir. Spatial pixels or defined regions of interest correspond to computational nodes, while temporal evolution encodes memory effects arising from ion migration and excited-state recombination dynamics. Variations in signal amplitude, lifetime, and spatial distribution therefore reflect nonlinear system responses used for time-series processing and classification tasks. The dataset could be reused for - benchmarking physical or neuromorphic reservoir computing approaches - studies of opto-ionic coupling and excited-state dynamics in hybrid perovskites - image-based time-series analysis or dimensionality-reduction research. The data is organized according to experiment type - Modulation: Photoluminescence response to optical and electronic modulation - Stability: Replicates of the modulation experiment for different devices and as a function of device lifetime - BitScan: Photoluminescence response to the 4-bit binary classification benchmark - PL lifetime imaging: Photoluminescence lifetime microscopy data of single-crystal devices - GIWAXS: grazing incidence wide angle x-ray scattering of MAPbBr3 thin films and different stages of device fabrication - UV-VIS: Transmission spectra of MAPbBr3 thin films. python, 3.11.3 h5py, 3.12.1 numpy, 1.26.4 scikit-learn, 1.7.2 |
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| Item Description: | Updated: 2026-03-03 DFG: 508754442 |
| Physical Description: | Online Resource |
| DOI: | 10.18419/DARUS-5656 |
| Access: | Open Access |