Machine Learning Approaches for Predicting Power Conversion Efficiency in Organic Solar Cells: A Comprehensive Review DOI
Yang Jiang, Chuang Yao,

Yezi Yang

et al.

Solar RRL, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 9, 2024

Organic solar cells (OSCs), renowned for their lightweight, cost efficiency, and adaptability nature, stand out as a promising option developing renewable energy. Improving the power conversion efficiency (PCE) of OSCs is essential, researchers are delving into novel materials to achieve this. Traditional approaches often laborious costly, highlighting need predictive modeling. Machine learning (ML), especially via quantitative structure–property relationship (QSPR) models, streamlining material development, with goal exceed 20% PCE. In this review, application ML in explored, recent studies utilizing PCE prediction reviewed, encompassing empirical functions, algorithms, self‐devised frameworks, combination automated experimental technologies. First, benefits predicting addressed. Second, development high‐efficiency models both fullerene nonfullerene acceptors delved into. The impact various algorithm on then assessed, taking account construction models. Moreover, quality databases selection descriptors considered. Databases based further categorized. Finally, prospects future proposed.

Language: Английский

Manipulating Aggregation Kinetics toward Efficient All‐Printed Organic Solar Cells DOI Open Access

Junzhen Ren,

Jianqiu Wang,

Jiawei Qiao

et al.

Advanced Materials, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 5, 2025

Abstract The power conversion efficiencies (PCEs) of all‐printed organic solar cells (OSCs) remain inferior to those spin‐coated devices, primarily due morphological variations within the bulk heterojunction processed via diverse coating/printing techniques. Herein, cyclohexyl is introduced as outer side chains formulate a non‐fullerene acceptor, BTP‐Cy, aimed at modulating molecular aggregation in solution and subsequent film formation kinetics during printing. Investigations demonstrate that BTP‐Cy molecule with exhibits enhanced intermolecular π‐π stacking, optimal size, favorable phase separation. Consequently, PB3:FTCC‐Br:BTP‐Cy‐based OSCs achieve remarkable PCEs 20.2% 19.5% spin‐coating blade‐coating, respectively. Furthermore, 23.6 cm 2 module efficiency 16.7%. This study offers fresh perspective on tailoring photoactive materials printing through design, paving novel path enhance OSCs.

Language: Английский

Citations

3
Improving the Efficiency of Layer-by-Layer Organic Photovoltaics to Exceed 19% by Establishing Effective Donor–Acceptor Interfacial Molecular Interactions DOI
Yongchao Xie, Kai Wang, Haomiao Yu

et al.

ACS Applied Materials & Interfaces, Journal Year: 2025, Volume and Issue: unknown

Published: March 3, 2025

The power conversion efficiency of layer-by-layer organic solar cells (LOSCs) has reached an impressive level by utilizing sequential processing (SqP) for the individual deposition and regulation both donor acceptor materials. However, fundamental understanding phase separation in LOSCs remains contentious, hindering rational design due to ambiguous contribution stratification or beneficial vertical segregation morphology. Here, we systematically investigate utility solvent effects on drying kinetics understand how interaction between upper bottom layers affects formation donor/acceptor (D/A) interface its impact performance LOSCs. Particularly emphasizing substantial layer establishment effective D/A rather than significant LOSCs, this facilitates utilization blend casting SqP, introducing adequate interface, which contributes a superior 19.05%. Ultimately, provide three rules enhancing LOSCs: (1) appropriate selection solvents material ensure desired crystalline orientation, (2) strongly polar volatile capable dissolving form interfacial interaction, (3) sufficient interfaces.

Language: Английский

Citations

1
Unraveling the Solution Aggregation Structures and Processing Resiliency of High‐Efficiency Organic Photovoltaic Blends DOI
Mengyuan Gao, Chunlong Sun, Yiwen Li

et al.

Advanced Materials, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 7, 2024

The solution aggregation structure of conjugated polymers is crucial to the morphology and resultant optoelectronic properties organic electronics considerable interest in field. Precise characterizations structures photovoltaic (OPV) blends their temperature-dependent variations remain challenging. In this work, three representative high-efficiency OPV using small-angle X-ray/neutron scattering are systematically probed. Three cases processing resiliency elucidated state-of-the-art blends. exceptional PBQx-TF can be attributed minimal changes multiscale at elevated temperatures. Importantly, a new parameter, percentage acceptors distributed within polymer aggregates (Ф), for first time blend solution, establishes direct correlation between Ф performance quantified. device well correlated with Kuhn length cylinder related L

Language: Английский

Citations

9
Impact of Linker Engineering in Core‐Linked Dimeric Acceptors for High‐Performance Organic Solar Cells DOI Creative Commons

Shinbee Oh,

Da-Hyun Jeong,

Kihyun Bae

et al.

Advanced Functional Materials, Journal Year: 2024, Volume and Issue: 34(41)

Published: July 3, 2024

Abstract The dimerization of small molecule acceptors (SMAs) is a promising strategy for enhancing the long‐term stability and power conversion efficiency (PCE) organic solar cells (OSCs). However, reported DSMAs are primarily limited to end‐linked molecular configurations, highlighting need further exploration various dimer architectures. Herein, development two distinct core‐linked dimerized SMAs (DYF‐V DYF‐E) with tailored linker structures (vinylene ethynyl, respectively), achieving high‐performance OSCs (PCE = 18.53%). Interestingly, subtle change in results markedly different properties photovoltaic performances acceptors. DYF‐E an ethynyl exhibits more twisted backbone conformation mitigated aggregation property compared DYF‐V, inducing desirable blend morphologies polymer donor including high crystallinity, face‐on oriented packing structures, well‐intermixed domains. Thus, DYF‐E‐based exhibit PCE (17.02%), which significantly outperforms DYF‐V‐based 9.98%). Furthermore, ternary based on achieve higher 18.53%. this study highlights significance selecting appropriate producing OSCs.

Language: Английский

Citations

8
Indoor organic photovoltaics for low-power internet of things devices: Recent advances, challenges, and prospects DOI

Xingting Liu,

Shanlei Xu,

Bo Tang

et al.

Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: 497, P. 154944 - 154944

Published: Aug. 17, 2024

Language: Английский

Citations

6
Recent Progress and Applications of NanoIR‐AFM in Morphological Characterization of Organic Solar Cells DOI
Xuewen Wei,

Longfei Jia,

Bowen Duan

et al.

Advanced Functional Materials, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 9, 2024

Abstract Organic solar cells (OSCs) are gaining attention in building‐integrated and agricultural photovoltaics due to their light weight, mechanical flexibility, low‐cost solution processability. To achieve commercial viability, understanding the relationships between active layer material structure, film morphology, photovoltaic performance is crucial. Nanoscale infrared spectroscopy coupled with atomic force microscopy (nanoIR‐AFM) offers an advanced characterization of morphology at high resolution help understand OSC performance. This review outlines recent developments applications nanoIR‐AFM research, detailing its principles, instruments, functions. Strategies enhance morphological by discussed, offering insights into evolution device The highlights challenges faced potential role advancing technology. As continues evolve, it will play a critical development, providing essential technical means for further progress.

Language: Английский

Citations

6
In Situ Morphology Control for Solution‐Printable Organic Photovoltaics DOI Open Access
Zhaozhao Bi, Chang Liu, Wei Ma

et al.

Advanced Functional Materials, Journal Year: 2024, Volume and Issue: 34(49)

Published: Aug. 27, 2024

Abstract The morphology of the photoactive layer plays an important role in both photoelectric effect and device performance solution‐processed organic solar cells (OSCs). Optimizing requires precise control over complex film formation kinetics, which are influenced by a range factors from solution state to solid‐film state. This review delves into situ characterization technologies employed understand active process explores strategies for controlling during key stages, including aggregation, nucleation, crystal growth, phase separation. Special attention is given mechanism these enable real‐time printing their potential facilitate direct layers with optimized morphology. goal offer valuable insights guidance managing kinetics OSCs, ultimately addressing challenges scale‐up paving way high‐throughput production post‐processing‐free devices.

Language: Английский

Citations

4
Molecular Control of the Donor/Acceptor Interface Suppresses Charge Recombination Enabling High‐Efficiency Single‐Component Organic Solar Cells DOI Creative Commons
Yao Li, Richard A. Pacalaj, Yongmin Luo

et al.

Advanced Materials, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 28, 2024

Abstract Single‐component organic solar cells based on double cable polymers have achieved remarkable performance, with DCPY2 reaching a high efficiency of over 13%. In this study, is further optimized an 13.85%, maintaining fill factor (FF) without compromising the short circuit current. Despite its intermixed morphology, shows reduced recombination rate compared to their binary counterpart (PBDB‐T:Y‐O6). This slower in attributed wavefunction overlap delocalized charges, by spatially separating donor and acceptor units alkyl linker, thereby restricting pathways. Adding 1,8‐diiodooctane (DIO) into facilitating aggregation, allowing free charges become more delocalized. The DIO‐assisted aggregation (5% DIO) evidenced increased pseudo‐pure domain size Y‐O6. Fine molecular control at donor/acceptor interface double‐cable polymer achieves non‐geminate under efficient charge generation, mobility, carrier lifetime, achieving superior performance. Nevertheless, FF still limited relatively low mobility blend, suggesting potential for improvement through enhanced higher‐dimensional packing material.

Language: Английский

Citations

3
Ternary Blend Organic Photovoltaics with High Efficiency and Stability Through Energy Transfer and Molecular Packing Induced by an A‐D‐A Small Molecule DOI Creative Commons
Bin Chang,

Chung‐Hao Chen,

Atsushi Yabushita

et al.

Small, Journal Year: 2025, Volume and Issue: unknown

Published: April 21, 2025

Abstract A novel A‐D‐A type small molecule (DTP‐2EH‐IO2Cl) incorporating dithiophenepyrrole (DTP) core with indene‐dione (IO2Cl) side chain an intermediate band gap and rigid structure is incorporated into polymer donor PM6 one of the three A−DA′D−A acceptor—L8‐BO, BTP‐eC9 or Y6—for ternary‐blend organic photovoltaics (OPVs). The third component DTP‐2EH‐IO2Cl induces not only energy transfer but also stronger molecular packing acceptors, resulting in a larger coherence length enhanced absorption that enhances devices’ power conversion efficiencies (PCE) thermal stability. PCE values champion devices PM6:L8‐BO, PM6:BTP‐eC9, PM6:Y6 are 19.2, 18.3, 17.6%, respectively, versus 16.5, 15.8, 15.4% for their corresponding binary blend devices, displaying relative increases from 14 to 16%. stability (T 80 ) PM6:L8‐BO: ternary device dramatically 568 h 57 PM6:L8‐BO device. These enhancements can be attributed effectiveness as increasing light through inducing intermolecular providing effective way tune morphology boost both OPVs.

Language: Английский

Citations

0
Machine Learning Approaches for Predicting Power Conversion Efficiency in Organic Solar Cells: A Comprehensive Review DOI
Yang Jiang, Chuang Yao,

Yezi Yang

et al.

Solar RRL, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 9, 2024

Organic solar cells (OSCs), renowned for their lightweight, cost efficiency, and adaptability nature, stand out as a promising option developing renewable energy. Improving the power conversion efficiency (PCE) of OSCs is essential, researchers are delving into novel materials to achieve this. Traditional approaches often laborious costly, highlighting need predictive modeling. Machine learning (ML), especially via quantitative structure–property relationship (QSPR) models, streamlining material development, with goal exceed 20% PCE. In this review, application ML in explored, recent studies utilizing PCE prediction reviewed, encompassing empirical functions, algorithms, self‐devised frameworks, combination automated experimental technologies. First, benefits predicting addressed. Second, development high‐efficiency models both fullerene nonfullerene acceptors delved into. The impact various algorithm on then assessed, taking account construction models. Moreover, quality databases selection descriptors considered. Databases based further categorized. Finally, prospects future proposed.

Language: Английский

Citations

2