Dataset Information

Balancing Crystal Size in Small-Molecule Nonfullerene Solar Cells through Fine-Tuning the Film-Forming Kinetics to Fabricate Interpenetrating Network.

ABSTRACT: The nanoscale interpenetrating network of active layer plays a key role in determining the exciton dissociation and charge transport in all small-molecule nonfullerene solar cells (AS-NFSCs). However, fabricating interpenetrating networks in all small-molecule blends remains a critical hurdle due to the uncontrolled crystallization behavior of small molecules. In this study, we proposed that the balanced crystal size between the donor and the acceptor is an essential prerequisite to construct optimal interpenetrating networks. We also provided a solvent additive strategy to reduce the gap of crystal size between the donor and the acceptor in S-TR:ITIC all small-molecule blend system through manipulating the solution state and film-forming kinetics. As a result, the crystal size of S-TR decreased and the crystal size of ITIC increased, leading to nanoscale interpenetrating networks. This optimized morphology improved the exciton dissociation efficiency and suppressed the bimolecular recombination, achieving almost double power conversion efficiency compared to the reference device. This work demonstrates that manipulation of the balanced crystal size of donor and acceptor may be a key to further boost the efficiency of AS-NFSCs.

SUBMITTER: Liu J

PROVIDER: S-EPMC6644795 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature

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Balancing Crystal Size in Small-Molecule Nonfullerene Solar Cells through Fine-Tuning the Film-Forming Kinetics to Fabricate Interpenetrating Network.

Liu Jiangang J Han Jie J Liang Qiuju Q Xin Jingming J Tang Yabing Y Ma Wei W Yu Xinhong X Han Yanchun Y

ACS omega 20180710 7

The nanoscale interpenetrating network of active layer plays a key role in determining the exciton dissociation and charge transport in all small-molecule nonfullerene solar cells (AS-NFSCs). However, fabricating interpenetrating networks in all small-molecule blends remains a critical hurdle due to the uncontrolled crystallization behavior of small molecules. In this study, we proposed that the balanced crystal size between the donor and the acceptor is an essential prerequisite to construct op ...[more]

PMID: 31458912

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Project description:To create a dataset of PSMs that does not exhibit tryptic bias, we selected PSMs with a uniform distribution of amino acids at the C-terminal peptide positions from two datasets: MassIVE-KB [Wang2018] and PROSPECT [Shouman2022]. The MassIVE-KB dataset contains 30 million PSMs and consists entirely of data generated using trypsin; hence, only a small proportion of the MassIVE-KB peptides do not end in K or R, corresponding to those that appear at the C-terminus of the corresponding protein. The PROSPECT dataset is a collection of 61 million PSMs generated from synthetic peptides. To avoid overrepresentation of some peptides in this dataset, we randomly selected at most 100 PSMs per unique peptide, similar to the processing that was done during the creation of the MassIVE-KB dataset. This pre-selection step reduced the size of the PROSPECT dataset to 12.6 million PSMs. Finally, to create a non-enzymatic dataset containing 1 million peptides, we selected 50,000 PSMs for each canonical amino acid. These PSMs were selected at random from MassIVE-KB, then supplemented as necessary from PROSPECT to obtain the desired count (see Yilmaz et al. [Yilmaz2023] Supplementary Table S1). This dataset contained PSMs from 247,859 unique peptides, which were randomly split into training, validation and test sets in the ratio 80/10/10. FTP directory contains the mgf files corresponding to train, validation and test splits. [Wang2018] M. Wang, J. Wang, J. Carver, B. Pullman, S. Won Cha, N. Bandeira, "Assembling the Community-Scale Discoverable Human Proteome", Cell Systems, Volume 7, Issue 4, 2018. [Shouman2022] O. Shouman, W. Gabriel, V. Giurcoiu, V. Sternlicht, M. Wilhelm, "PROSPECT: Labeled Tandem Mass Spectrometry Dataset for Machine Learning in Proteomics", NeurIPS Datasets and Benchmarks, 2022 [Yilmaz2023] M. Yilmaz*, W. Fondrie*, W. Bittremieux, R. Nelson, V. Ananth, S. Oh, and W. Noble,"Sequence-to-sequence translation from mass spectra to peptides with a transformer model", bioRxiv, 2023

Dataset Information

Balancing Crystal Size in Small-Molecule Nonfullerene Solar Cells through Fine-Tuning the Film-Forming Kinetics to Fabricate Interpenetrating Network.

Publications

Balancing Crystal Size in Small-Molecule Nonfullerene Solar Cells through Fine-Tuning the Film-Forming Kinetics to Fabricate Interpenetrating Network.

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