Interface-induced face-on orientation of the active layer by self-assembled diblock conjugated polyelectrolytes for efficient organic photovoltaic cells

2016 ◽  
Vol 4 (47) ◽  
pp. 18478-18489 ◽  
Author(s):  
Dan Zhou ◽  
Xiaofang Cheng ◽  
Haitao Xu ◽  
Hanjun Yang ◽  
Huimin Liu ◽  
...  
Keyword(s):  
Active Layer ◽  
Photovoltaic Cells ◽  
The Self ◽  
Organic Photovoltaic ◽  
Conjugated Polyelectrolytes ◽  
Organic Photovoltaic Cells ◽  
Self Assembled

The self-assembled diblock CPEs PFEO-b-PTNBr and PFEO-b-PTImBr can partially induce a favorable face-on orientation of the active layer.

A Spectral Density Function Approach for Active Layer Design of Organic Photovoltaic Cells

2018 ◽  
Vol 140 (11) ◽  
Author(s):  
Umar Farooq Ghumman ◽  
Akshay Iyer ◽  
Rabindra Dulal ◽  
Joydeep Munshi ◽  
Aaron Wang ◽  
...  
Keyword(s):  
Spectral Density ◽  
Density Function ◽  
Active Layer ◽  
Photovoltaic Cells ◽  
Spectral Density Function ◽  
Organic Photovoltaic ◽  
Design Framework ◽  
Organic Photovoltaic Cells ◽  
Microstructure Design ◽  
The Impact

Organic photovoltaic cells (OPVCs), having received significant attention over the last decade, are yet to be established as viable alternatives to conventional solar cells due to their low power conversion efficiency (PCE). Complex interactions of several phenomena coupled with the lack of understanding regarding the influence of fabrication conditions and nanostructure morphology have been major barriers to realizing higher PCE. To this end, we propose a computational microstructure design framework for designing the active layer of P3HT:PCBM based OPVCs conforming to the bulk heterojunction (BHJ) architecture. The framework pivots around the spectral density function (SDF), a frequency space microstructure characterization, and reconstruction methodology, for microstructure design representation. We validate the applicability of SDF for representing the active layer morphology in OPVCs using images of the nanostructure obtained by cross-sectional scanning tunneling microscopy and spectroscopy (XSTM/S). SDF enables a low-dimensional microstructural representation that is crucial in formulating a parametric-based microstructure optimization scheme. A level-cut Gaussian random field (GRF, governed by SDF) technique is used to generate reconstructions that serve as representative volume elements (RVEs) for structure–performance simulations. A novel structure–performance (SP) simulation approach is developed using a physics-based performance metric, incident photon to converted electron (IPCE) ratio, to account for the impact of microstructural features on OPVC performance. Finally, a SDF-based computational IPCE optimization study incorporating only three design variables results in 36.75% increase in IPCE, underlining the efficacy of the proposed design framework.

A Spectral Density Function Approach for Design of Organic Photovoltaic Cells

2018 ◽  
Author(s):  
Umar Farooq Ghumman ◽  
Akshay Iyer ◽  
Rabindra Dulal ◽  
Aaron Wang ◽  
Joydeep Munshi ◽  
...  
Keyword(s):  
Spectral Density ◽  
Density Function ◽  
Active Layer ◽  
Photovoltaic Cells ◽  
Computer Experiments ◽  
Spectral Density Function ◽  
Organic Photovoltaic ◽  
Design Framework ◽  
Organic Photovoltaic Cells ◽  
The Impact

Organic Photovoltaic Cells (OPVCs), having received significant attention over the last decade, are yet to be established as viable alternatives to conventional solar cells due to their low power conversion efficiency (PCE). Complex interactions of several phenomena coupled with the lack of understanding regarding the influence of fabrication conditions and nanostructure morphology have been major barriers to realizing higher PCE. To this end, we propose a computational microstructural design framework addressing the Processing–Structure–Performance (PSP) linkages for designing the active layer of P3HT:PCBM based OPVCs conforming to bulk heterojunction architecture. The framework pivots around the Spectral Density Function (SDF), a frequency space microstructure characterization and reconstruction methodology, for microstructure design representation. Nanostructure images obtained by novel Scanning Tunneling Microscopy are used to validate the applicability of SDF for representing active layer morphology in OPVCs. SDF enables a low dimensional microstructure representation that is crucial in formulating a parametrized microstructure optimization scheme. A level-cut Gaussian Random Field (governed by SDF) technique is used to generate reconstructions that serve as Representative Volume Elements (RVEs) for structure-performance simulations. A novel structure-performance simulation approach is developed using physics-based performance metric, Incident Photon to Converted Electron (IPCE) ratio, to account for the impact of microstructural features on OPVC performance. Finally, an SDF based computational IPCE optimization study using metamodels created using design of computer experiments over three design variables results in 36.75% increase in IPCE, underlining the efficacy of proposed design framework.

Extrusion of a nano-ordered active layer for organic photovoltaic cells

2017 ◽  
Vol 1 (9) ◽  
pp. 2016-2027 ◽  
Author(s):  
Ali Nourdine ◽  
Lionel Flandin ◽  
Nicole Albérola ◽  
Lara Perrin ◽  
Emilie Planès ◽  
...  
Keyword(s):  
Active Layer ◽  
Photovoltaic Cells ◽  
Extrusion Process ◽  
Organic Photovoltaic ◽  
Organic Photovoltaic Cells ◽  
Photoactive Layer ◽  
First Time

For the first time, an extrusion process is used to produce a perfectly nanostructured organic photoactive layer.

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