Evidence map›Paper›PMID 41926613›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Electrostatic Potential Complementarity for Thickness-Tolerant Cathode Interlayers in High-Efficiency Organic and Tandem Solar Cells.

Xiaoman Ding, Dana Mukasheva, Jiaxu Che, Guangye Zhang, Xiuze Hei, Haoran Lin, Jie Lv, Patrick Fong, Zhiwei Ren, Annie Ng and 4 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Xiaoman DingHoffmann Institute of Advanced Materials, Shenzhen Polytechnic University, Shenzhen, China.
Dana MukashevaDepartment of Electrical and Computer Engineering, School of Engineering and Digital Sciences, Nazarbayev University Research Administration, Nazarbayev University, Astana, 010000, Kazakhstan.
Jiaxu CheCollege of New Materials and New Energies, Shenzhen Technology University, Shenzhen, China.
Guangye ZhangCollege of New Materials and New Energies, Shenzhen Technology University, Shenzhen, China.ORCID https://orcid.org/0000-0002-2750-7720
Xiuze HeiHoffmann Institute of Advanced Materials, Shenzhen Polytechnic University, Shenzhen, China.ORCID https://orcid.org/0009-0009-3598-885X
Haoran LinHoffmann Institute of Advanced Materials, Shenzhen Polytechnic University, Shenzhen, China.ORCID https://orcid.org/0000-0003-0625-8881
Jie LvHoffmann Institute of Advanced Materials, Shenzhen Polytechnic University, Shenzhen, China.
Patrick FongDepartment of Electrical and Electronic Engineering, Research Institute for Smart Energy (RISE), Photonic Research Institute (PRI), The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China.
Zhiwei RenDepartment of Electrical and Electronic Engineering, Research Institute for Smart Energy (RISE), Photonic Research Institute (PRI), The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China.
Annie NgDepartment of Electrical and Computer Engineering, School of Engineering and Digital Sciences, Nazarbayev University Research Administration, Nazarbayev University, Astana, 010000, Kazakhstan.
Mingjian YuanCollege of Chemistry, Nankai University, Tianjin, China.
Hongyu ZhangState Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun, China.ORCID https://orcid.org/0000-0002-0219-3948
Gang LiDepartment of Electrical and Electronic Engineering, Research Institute for Smart Energy (RISE), Photonic Research Institute (PRI), The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China.ORCID https://orcid.org/0000-0001-8399-7771
Hanlin HuHoffmann Institute of Advanced Materials, Shenzhen Polytechnic University, Shenzhen, China.ORCID https://orcid.org/0000-0001-5617-0998

Funding

Nazarbayev University under the Collaborative Research Program 211123CRP1613Research Projects of the Department of Education of Guangdong Province 2024ZDZX3079Science Committee of the Ministry of Science and Higher Education of the Republic of Kazakhstan BR28713323
6 · The paper itself

Abstract

Designing cathode interlayers (CILs) that simultaneously deliver high efficiency, operational stability, and broad thickness tolerance remains a critical challenge for organic solar cells (OSCs). Herein, trimesic acid (TMA) and phloroglucinol (PG), two small molecules featuring opposite central electrostatic potential (ESP) distributions, are employed as model systems to systematically elucidate their intermolecular interactions with the benchmark CIL material PDINN and to reveal the molecular origin of thickness sensitivity. Benefiting from complementary ESP matching, PG incorporation markedly enhances PDINN self-doping, electrical conductivity, energy-level alignment, and π-π stacking, while suppressing PDINN self-agglomeration and reducing Ag electrode work function. These synergistic effects promote efficient charge extraction and transport and suppress non-radiative recombination losses. As a result, OSCs with the PDINN:PG CIL achieve a power conversion efficiencie (PCE) of 20.0% (certified 19.5%), together with outstanding thickness tolerance, maintaining 87.0% of champion efficiency at 50 nm, and improved operational stability (80% after 600 h). Furthermore, perovskite-organic tandem solar cells (TSCs) deliver a decent PCE of 26.4%. This work establishes an ESP-guided molecular interfacial engineering strategy for thickness-tolerant and durable CILs for next-generation OSCs.

Indexed as

cathode interlayerelectrostatic potentialintermolecular interactionsorganic solar cellsthickness tolerance

Identifiers

PMID41926613
PMCPMC13317574

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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.