Evidence map›Paper›PMID 38843474›Full record

ArticleThe journal of physical chemistry letters2024

Charge Trapping and Defect Dynamics as Origin of Memory Effects in Metal Halide Perovskite Memlumors.

Alexandr Marunchenko, Jitendra Kumar, Alexander Kiligaridis, Shraddha M Rao, Dmitry Tatarinov, Ivan Matchenya, Elizaveta Sapozhnikova, Ran Ji, Oscar Telschow, Julius Brunner and 4 more

Abstract read
In one paragraph

Article in The journal of physical chemistry letters, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Optical Memory in a MoSeACS applied materials & interfaces · 2025
    Article
  8. Extreme Electron-Photon Interaction in Disordered Perovskites.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Alexandr MarunchenkoChemical Physics and NanoLund, Lund University, P.O. Box 124, 22100 Lund, Sweden.ORCID 0000-0002-0616-2524
Jitendra KumarChemical Physics and NanoLund, Lund University, P.O. Box 124, 22100 Lund, Sweden.
Alexander KiligaridisChemical Physics and NanoLund, Lund University, P.O. Box 124, 22100 Lund, Sweden.
Shraddha M RaoChemical Physics and NanoLund, Lund University, P.O. Box 124, 22100 Lund, Sweden.
Dmitry TatarinovSchool of Physics and Engineering, ITMO University, 49 Kronverksky, St. Petersburg 197101, Russian Federation.
Ivan MatchenyaSchool of Physics and Engineering, ITMO University, 49 Kronverksky, St. Petersburg 197101, Russian Federation.
Elizaveta SapozhnikovaSchool of Physics and Engineering, ITMO University, 49 Kronverksky, St. Petersburg 197101, Russian Federation.
Ran JiChair for Emerging Electronic Technologies, Technical University of Dresden, Nöthnitzer Straße 61, 01187 Dresden, Germany.
Oscar TelschowChair for Emerging Electronic Technologies, Technical University of Dresden, Nöthnitzer Straße 61, 01187 Dresden, Germany.
Julius BrunnerChair for Emerging Electronic Technologies, Technical University of Dresden, Nöthnitzer Straße 61, 01187 Dresden, Germany.
Alexei YulinSchool of Physics and Engineering, ITMO University, 49 Kronverksky, St. Petersburg 197101, Russian Federation.
Anatoly PushkarevSchool of Physics and Engineering, ITMO University, 49 Kronverksky, St. Petersburg 197101, Russian Federation.ORCID 0000-0002-1793-6812
Yana VaynzofChair for Emerging Electronic Technologies, Technical University of Dresden, Nöthnitzer Straße 61, 01187 Dresden, Germany.ORCID 0000-0002-0783-0707
Ivan G ScheblykinChemical Physics and NanoLund, Lund University, P.O. Box 124, 22100 Lund, Sweden.ORCID 0000-0001-6059-4777

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Large language models for artificial intelligence applications require energy-efficient computing. Neuromorphic photonics has the potential to reach significantly lower energy consumption in comparison with classical electronics. A recently proposed memlumor device uses photoluminescence output that carries information about its excitation history via the excited state dynamics of the material. Solution-processed metal halide perovskites can be used as efficient memlumors. We show that trapping of photogenerated charge carriers modulated by photoinduced dynamics of the trapping states themselves explains the memory response of perovskite memlumors on time scales from nanoseconds to minutes. The memlumor concept shifts the paradigm of the detrimental role of charge traps and their dynamics in metal halide perovskite semiconductors by enabling new applications based on these trap states. The appropriate control of defect dynamics in perovskites allows these materials to enter the field of energy-efficient photonic neuromorphic computing, which we illustrate by proposing several possible realizations of such systems.

Identifiers

PMID38843474
PMCPMC11197924

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LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.