Linqin Jiang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Linqin Jiang has a total of 115 co-authors. Here are the top co-authors by number of shared publications:
- Yu Qiu
Key Laboratory of Green Perovskites Application of Fujian Province Universities, Fujian Jiangxia University, Fuzhou 350108, China
27 shared publications Lingyan Lin
18 shared publicationsHao Xiong
17 shared publicationsPing Li
17 shared publicationsLian Gao
9 shared publicationsAijun Yang
8 shared publications
Latest Publications
- 13 October 2025
- Published by Elsevier in Journal of Physics and Chemistry of Solids
- Vol. 209
Simulation and design of perovskite/perovskite/CIGS triple-junction solar cell: A path towards enhanced efficiency
- 13 October 2025
- Published by Elsevier in Journal of Physics and Chemistry of Solids
- Vol. 209
Simulation and design of perovskite/perovskite/CIGS triple-junction solar cell: A path towards enhanced efficiency
- Open Access
Performance Improvement of Vertical Channel Indium–Gallium–Zinc Oxide Thin-Film Transistors Using Porous MXene Electrode
The surface morphology of porous source electrodes plays a significant role in the performance of vertical channel indium–gallium–zinc oxide thin-film transistors (VC-IGZO-TFTs). This study systematically investigates the properties of porous MXene-based source electrodes and their impact on VC-IGZO-TFTs fabricated with varying MXene concentrations. As the MXene concentration increases, both the sheet resistance and porosity of the electrodes decrease. VC-IGZO-TFTs based on a 3.0 mg/mL MXene concentration exhibit optimal electrical performance, with a threshold voltage (Vth) of 0.16 V, a subthreshold swing (SS) of 0.20 V/decade, and an on/off current ratio (Ion/Ioff) of 4.90 × 105. Meanwhile, the VC-IGZO-TFTs exhibit excellent electrical reliability and mechanical stability. This work provides a way to analyze the influence of sheet resistance and porosity on the performance of VC-IGZO-TFTs, offering a viable approach for enhancing device efficiency through porous MXene electrode engineering.
Open AccessPerformance Improvement of Vertical Channel Indium–Gallium–Zinc Oxide Thin-Film Transistors Using Porous MXene Electrode
The surface morphology of porous source electrodes plays a significant role in the performance of vertical channel indium–gallium–zinc oxide thin-film transistors (VC-IGZO-TFTs). This study systematically investigates the properties of porous MXene-based source electrodes and their impact on VC-IGZO-TFTs fabricated with varying MXene concentrations. As the MXene concentration increases, both the sheet resistance and porosity of the electrodes decrease. VC-IGZO-TFTs based on a 3.0 mg/mL MXene concentration exhibit optimal electrical performance, with a threshold voltage (Vth) of 0.16 V, a subthreshold swing (SS) of 0.20 V/decade, and an on/off current ratio (Ion/Ioff) of 4.90 × 105. Meanwhile, the VC-IGZO-TFTs exhibit excellent electrical reliability and mechanical stability. This work provides a way to analyze the influence of sheet resistance and porosity on the performance of VC-IGZO-TFTs, offering a viable approach for enhancing device efficiency through porous MXene electrode engineering.
- Open Access
- 15 April 2025
- Published by OAE Publishing Inc. in Journal of Materials Informatics
- Vol. 5 (3)
Accelerated discovery of high-performance small-molecule hole transport materials via molecular splicing, high-throughput screening, and machine learning
As the most representative and widely utilized hole transport material (HTM), spiro-OMeTAD encounters challenges including limited hole mobility, high production costs, and demanding synthesis conditions. These issues have a notable impact on the overall performance of perovskite solar cells (PSCs) based on spiro-OMeTAD and hinder its large-scale commercial application. Consequently, there exists a strong demand for high-throughput computational design of novel small-molecule HTMs (SM-HTMs) that are cost-effective, easy to synthesize, and offer excellent performance. In this study, a systematic and iterative design and development process for SM-HTMs is proposed, aiming to accelerate the discovery and application of high-performance SM-HTMs. A custom-developed molecular splicing algorithm (MSA) generated a sample space of 200,000 intermediate molecules, culminating in the creation of a comprehensive database of over 7,000 potential SM-HTM candidates. In total, six promising HTM candidates were identified through MSA, density functional theory calculations and high-throughput screening. Furthermore, three machine learning algorithms, namely random forest, gradient boosting decision tree, and extreme gradient boosting (XGBoost), were employed to construct predictive models for key material properties, including hole recombination energy, solvation free energy, maximum absorption wavelength, and hydrophobicity. Among these, the XGBoost-based model demonstrated the best overall performance. The MSA methodology combining comprehensive SM-HTM database and performance prediction models, as introduced in this study, offers a powerful and universal toolkit for the design and optimization of next-generation SM-HTMs, thereby paving the way for future advancements of PSCs.
- 15 April 2025
- Published by OAE Publishing Inc. in Journal of Materials Informatics
- Vol. 5 (3)
Open AccessAccelerated discovery of high-performance small-molecule hole transport materials via molecular splicing, high-throughput screening, and machine learning
As the most representative and widely utilized hole transport material (HTM), spiro-OMeTAD encounters challenges including limited hole mobility, high production costs, and demanding synthesis conditions. These issues have a notable impact on the overall performance of perovskite solar cells (PSCs) based on spiro-OMeTAD and hinder its large-scale commercial application. Consequently, there exists a strong demand for high-throughput computational design of novel small-molecule HTMs (SM-HTMs) that are cost-effective, easy to synthesize, and offer excellent performance. In this study, a systematic and iterative design and development process for SM-HTMs is proposed, aiming to accelerate the discovery and application of high-performance SM-HTMs. A custom-developed molecular splicing algorithm (MSA) generated a sample space of 200,000 intermediate molecules, culminating in the creation of a comprehensive database of over 7,000 potential SM-HTM candidates. In total, six promising HTM candidates were identified through MSA, density functional theory calculations and high-throughput screening. Furthermore, three machine learning algorithms, namely random forest, gradient boosting decision tree, and extreme gradient boosting (XGBoost), were employed to construct predictive models for key material properties, including hole recombination energy, solvation free energy, maximum absorption wavelength, and hydrophobicity. Among these, the XGBoost-based model demonstrated the best overall performance. The MSA methodology combining comprehensive SM-HTM database and performance prediction models, as introduced in this study, offers a powerful and universal toolkit for the design and optimization of next-generation SM-HTMs, thereby paving the way for future advancements of PSCs.
- 24 March 2025
- Published by Springer Nature in Journal of Computational Electronics
- Vol. 24 (2) , 1-9
Design and performance optimization of a novel perovskite photodetector based on a bipolar heterojunction phototransistor
- 24 March 2025
- Published by Springer Nature in Journal of Computational Electronics
- Vol. 24 (2) , 1-9
Design and performance optimization of a novel perovskite photodetector based on a bipolar heterojunction phototransistor
- 15 March 2025
- Published by Elsevier in Journal of Alloys and Compounds
- Vol. 1022
Exploring pathways to achieve 30 % efficiency in three-terminal back-contact all-perovskite tandem solar cells
- 15 March 2025
- Published by Elsevier in Journal of Alloys and Compounds
- Vol. 1022
Exploring pathways to achieve 30 % efficiency in three-terminal back-contact all-perovskite tandem solar cells
- 25 February 2025
- Published by Elsevier in Solar Energy
- Vol. 290
Interpretable machine learning insights of power conversion efficiency for hybrid perovskites solar cells
- 25 February 2025
- Published by Elsevier in Solar Energy
- Vol. 290
Interpretable machine learning insights of power conversion efficiency for hybrid perovskites solar cells
- 4 December 2024
- Published by IOP Publishing in Physica Scripta
- Vol. 100 (1) , 015915
Strategic design of carrier transport layer-free homojunction perovskite photodetector
Perovskite photodetectors (PPDs) have attracted extensive attention due to their unique material properties. However, the use of electron and hole transport layers ( ETLs and HTLs) significantly increases the complexity of design and processing and reduces the reliability of the devices. To address these issues effectively, a simple strategy of eliminating the ETLs and HTLs by employing a perovskite homojunction is proposed. In this study, we examine a numerical design of p-n homojunction-based PPD without the use of carrier transport layers (CTLs), using the Silvaco TCAD simulator. To unlock the potential of the proposed design, the effects of doping concentration, mobility, thickness, and bandgap of p-perovskite and n-perovskite on the PPD photoelectric characteristics are investigated and optimized. The simulation results illustrate that a high-performance CTL-free PPD can be achieved by forming a p-n homojunction using a thin (600 nm) lowly-doped (5 × 1014 cm−3) n-perovskite layer with suitable mobility (1 ∼ 10 cm2 V−1 s−1). Under optimized conditions, our findings reveal an optimum detectivity of 7.4 × 1013 Jones at 750 nm, the optimum responsivity is found to be 0.42 A W−1 at 675 nm and the optimum EQE is 84% at 475 nm. These results highlight the promising potential of the p-n homojunction design as a device configuration for producing high-performance and reliable commercial PPDs without any CTL.
- 4 December 2024
- Published by IOP Publishing in Physica Scripta
- Vol. 100 (1) , 015915
Strategic design of carrier transport layer-free homojunction perovskite photodetector
Perovskite photodetectors (PPDs) have attracted extensive attention due to their unique material properties. However, the use of electron and hole transport layers ( ETLs and HTLs) significantly increases the complexity of design and processing and reduces the reliability of the devices. To address these issues effectively, a simple strategy of eliminating the ETLs and HTLs by employing a perovskite homojunction is proposed. In this study, we examine a numerical design of p-n homojunction-based PPD without the use of carrier transport layers (CTLs), using the Silvaco TCAD simulator. To unlock the potential of the proposed design, the effects of doping concentration, mobility, thickness, and bandgap of p-perovskite and n-perovskite on the PPD photoelectric characteristics are investigated and optimized. The simulation results illustrate that a high-performance CTL-free PPD can be achieved by forming a p-n homojunction using a thin (600 nm) lowly-doped (5 × 1014 cm−3) n-perovskite layer with suitable mobility (1 ∼ 10 cm2 V−1 s−1). Under optimized conditions, our findings reveal an optimum detectivity of 7.4 × 1013 Jones at 750 nm, the optimum responsivity is found to be 0.42 A W−1 at 675 nm and the optimum EQE is 84% at 475 nm. These results highlight the promising potential of the p-n homojunction design as a device configuration for producing high-performance and reliable commercial PPDs without any CTL.