Mechanistic Insights into Ionic Conduction in Lead Halide Perovskites and Perovskite‐Inspired Materials (Adv. Energy Mater. 45/2025)

Lead Halide Perovskites Ionic conduction in lead halide perovskites and perovskite-inspired materials leads to complex device kinetics and operational instability. Yet, when coupled with optoelectronic properties, it enables advanced photo-iontronic devices such as memristors for neuromorphic computing. In article number 2503331, Ramesh Kumar, Erik M. J. Johansson, and co-workers provide mechanistic insights into ionic conduction in these materials.

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Publication Details

Journal
Advanced Energy Materials
Published
2025-12-01
DOI
https://doi.org/10.1002/aenm.70391
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
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article

Mechanistic Insights into Ionic Conduction in Lead Halide Perovskites and Perovskite‐Inspired Materials (Adv. Energy Mater. 45/2025)

Ramesh Kumar, Paola Vivo, Chintam Hanmandlu, Erik M. J. Johansson et al.
Advanced Energy Materials
Advanced Memory and Neural Computing
article

Mechanistic Insights into Ionic Conduction in Lead Halide Perovskites and Perovskite‐Inspired Materials (Adv. Energy Mater. 45/2025)

Ramesh Kumar, Paola Vivo, Chintam Hanmandlu, Erik M. J. Johansson, Francesca Fasulo, Ana B. Muñoz‐García, Wolfgang Tress, Monojit Bag, Michele Pavone, Gerrit Boschloo, Noora Lamminen, Miguel A. Torre Cachafeiro, G. Krishnamurthy Grandhi, Bhavya Rakheja
article en

Abstract

Lead Halide Perovskites Ionic conduction in lead halide perovskites and perovskite-inspired materials leads to complex device kinetics and operational instability. Yet, when coupled with optoelectronic properties, it enables advanced photo-iontronic devices such as memristors for neuromorphic computing. In article number 2503331, Ramesh Kumar, Erik M. J. Johansson, and co-workers provide mechanistic insights into ionic conduction in these materials.

Advanced Energy MaterialsVol. 15(45)
Uppsala University (SE), Indian Institute of Technology Roorkee (IN), Tampere University (FI), ZHAW Zurich University of Applied Sciences (CH), University of Naples Federico II (IT)
Openalex Percentile: Top 62%
Advanced Memory and Neural Computing
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