Conjugated Organophosphorus Materials As Electrodes for Organic Batteries
Bibliographic record
Abstract
The demand for environmentally benign, organic π-conjugated materials is constantly growing since they combine low cost and solution processability with light weight and mechanical flexibility. These features open up the opportunity to access new domains in contemporary organic electronics such as rechargeable organic batteries. The currently best established batteries are based on Li-ion technology and typically suffer from various disadvantages, for example (i) the use of expensive and toxic metal oxides (e.g. LiCoO2), (ii) slow kinetics of electrode reactions leading to extended charging times, and (iii) the danger of self-ignition resulting from heat generation during the Li-intercalation processes at the electrodes. To overcome these deficiencies, research is focused on the development of electrochemically active compounds for use in ‘plastic’ batteries. State-of-the-art organic electrodes feature well-known redox-active structural motifs that exhibit stable reduced or oxidized states, such as nitroxides,[1] quinones,[2] or viologens[3] (e.g., N,N’-dimethylviologen MV2+ ; cf. Figure). Recent research in the area of π-conjugated materials has shown that the incorporation of inorganic main group elements – in particular B, Si, and P – is an efficient strategy to obtain materials with intriguing properties for a host of most different practical applications.[4] Our group has of late designed new π-conjugated, ring-fused organophosphorus viologens such as the N,N’-dimethyl-2,7-diazadibenzophosphole oxide (phospha-MV2+ , cf. Figure) that show enhanced electronic characteristics for potential battery applications as compared to parent viologen MV2+ .[5] The materials’ properties of these compounds have been refined by further modifications of phospa-MV2+ in order to improve the applicability in cathodes and/or anodes. Half-cell cycling studies of fabricated electrodes against lithium metal shed light on the performance of the electrode materials with respect to their capacities under different C-rates for charging/discharging currents, cycle lives, and other performance criteria. References [1] Nishide, H.; Oyaizu, K. Science 2008, 319, 737-738. [2] Zhu, Z.; Hong, M.; Guo, D.; Shi, J.; Tao, Z.; Chen, J. J. Am. Chem. Soc. 2014, 136, 16461-16464 [3] Sen, S.; Saraidaridis, J.; Kim, S. Y.; Palmore, G. T. R. ACS Appl. Mater. Interfaces 2013, 5, 7825-7830. [4] He, X.-M.; Baumgartner, T. RSC Adv. 2013, 3, 11334-11350. [5] Durben, S.; Baumgartner, T. Angew. Chem. Int. Ed. 2011, 50, 7948-7952. Figure 1
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".