Charge transport processes in nonconjugated redox-active polymers with electrolytes were studied using a diffusion-cooperative model. For the first time, we quantitatively rationalized that limited Brownian motion of redox centers bound to resulted 103–4-fold decline bimolecular and heterogeneous charge transfer rate constants, which had been unexplained for half century. As next-generation design, supramolecular system high physical mobility was proposed achieve constant as free solution...

It has long remained challenging to predict the properties of complex chemical systems, such as polymer-based materials and their composites. We have constructed largest database lithium-conducting solid polymer electrolytes (104 entries) employed a transfer-learned graph neural network accurately conductivity (mean absolute error less than 1 on logarithmic scale). The bias-free prediction by helped us find superionic conductors composed charge-transfer complexes aromatic polymers (ionic...

Abstract Facile charge transport by a hydrophilic organic radical‐substituted polymer and the 3D current collection self‐assembled mesh of single‐walled carbon nanotube bundles lead to operation an ultrahigh‐output rechargeable electrode. Exceptionally large density beyond 1 A cm −2 high areal capacity around 3 mAh are achieved, which 10 1−2 times larger than those previously reported so‐called “ultrafast electrodes.” sub‐millimeter‐thick, flexible, highly safe redox polymer‐based device...

This review introduces organic ionic plastic crystals (OIPCs) as Li-ion conductors and recent progress in the development of Li secondary batteries with OIPC-based solid electrolytes.

Abstract While block copolymer (BCP) lithography is theoretically capable of printing features smaller than 10 nm, developing practical BCPs for this purpose remains challenging. Herein, we report the creation a chemically tailored, highly reliable, and practically applicable sub-10-nm line patterns by directed self-assembly. Polystyrene- -[poly(glycidyl methacrylate)- random -poly(methyl methacrylate)] (PS- b -(PGMA- r -PMMA) or PS- -PGM), which based on -PMMA with an appropriate amount...

Nitroxide radicals are considered as ideal redox species in all-organic flow batteries due to their potential of ∼2 V. These predominantly used polymerized form cathode materials a high efficiency. Attempts use poly(nitroxide)s anode have been unsuccessful irreversibility the reduction process reduced nitroxide undergoes fast, irreversible proton transfer with an electrolyte. In this study, radical, TEMPO, was shown become reversible ionic liquid. A 2.5 V achieved, reversibility being...

A fast and reversible charge storage capability was established for the radical polyether/SWCNT composite layer with a large thickness of several tens micrometres despite low SWCNT content 10%.

Hydrophilic redox-active polymer nanoparticles with different redox potentials and radii were synthesized via the dispersion polymerization to yield their stable in aqueous electrolyte media as promising catholytes anolytes flow batteries. Despite small physical diffusion coefficient (10–9 cm2/s) of nanosized particles, sufficiently large for charge transfer within particle (10–7 was observed a result fast electron propagation throughout particles. Redox cells fabricated using TEMPO-,...

This paper evaluates the capabilities and limitations of Generative Pre-trained Transformer 4 (GPT-4) in chemical research. Although GPT-4 exhibits remarkable proficiencies, it is evident that quality input data significantly affects its performance. We explore GPT-4's potential tasks, such as foundational chemistry knowledge, cheminformatics, analysis, problem prediction, proposal abilities. While language model partially outperformed traditional methods, black-box optimization, fell short...

This paper evaluates the capabilities and limitations of Generative Pre-trained Transformer 4 (GPT-4) in chemical research. Although GPT-4 exhibits remarkable proficiencies, it is evident that quality input data significantly affects its performance. We explore GPT-4's potential tasks, such as foundational chemistry knowledge, cheminformatics, analysis, problem prediction, proposal abilities. While language model partially outperformed traditional methods, black-box optimization, fell short...

Next‐generation, power‐efficient organic lighting systems, which ideally would be low‐cost and mass‐producible, are urgently needed because more than 20% of total electricity use goes to lighting. This study presents polymer light‐emitting electrochemical cells (PLECs) made using mass‐producible nanoimprinted corrugated substrates, effectively improve light extraction efficiency. The substrates fabricated roll‐to‐roll methods, self‐assembled block copolymers on glass film (glass: 0.45 m ×...

A database for 240 types of lithium-ion conducting solid polymer electrolytes was newly constructed and analyzed by machine learning. Despite the complexity composites as electrolyte...

Abstract Ultrathin flexible electronic devices have been attracting substantial attention for biomonitoring, display, wireless communication, and many other ubiquitous applications. In this article, organic robust redox‐active polymer/carbon nanotube hybrid nanosheets with thickness of just 100 nm are reported as power sources ultrathin conformable to skin. Regardless the extreme thinness electrodes, a moderately large current density 0.4 mA cm −2 is achieved due high output polymers (>10...

Exceptionally large output (current density over 20 mA/cm2) is achieved by a 99.9 wt % conventional LiFePO4 cathode for lithium ion batteries. Adding just 0.1 redox-active fluoflavin polymer to the electrode improves electrochemical performance dramatically. The polymer's redox potentials of 3.3 and 3.7 V vs Li/Li+, sandwiching that (3.4 V), are critical in accelerating charge discharge processes mediation. lower overvoltage also helps suppress degradation improve cycle life cell (over 1000...

Data scarcity in materials informatics hinders structure–property relationships. Using GPT-4 can address challenges, improving predictions like polymer refractive indices.

Organic ionic plastic crystals (OIPCs), which are soft with plasticity and conductivity, expected to be applied as solid electrolytes in battery applications. Further improvement of conductivity is necessary for practical use an electrolyte energy storage devices. Materials Informatics (MI) a method incorporating information science materials development. In this research, MI being used develop OIPCs high conductivity. By using informatics addition chemical knowledge, research can carried...

Abstract Two new organometallic copolymers (PVFVM1 and PVFVM1‐1) bearing different molar ratios of ferrocene triphenylamine pendants were successfully designed synthesized as cathode active materials for organic‐battery applications. Their structural thermal characteristics determined by 1 H NMR spectroscopy, Fourier transform infrared (FTIR) size exclusion chromatography (SEC), thermogravimetric analysis (TGA). Cyclic voltammograms the as‐prepared polymers show that electrochemical...

For rapid charging of lithium-ion batteries, a series novel electrode-active materials have been studied. However, those suffered from replacing conventional metal oxides, such as LiCoO2 and LiFePO4, because the strict performance criteria for commercialization. As an alternative approach, we propose hybridization inorganic active with organic redox-active polymers which are characterized by fast electrode kinetics. A new robust organic-radical-substituted polyether was synthesized to yield...

Metal-free and totally organic based batteries were fabricated from functional polyethers. Aliphatic polyethers, in which 2,2,6,6-tetramethylpiperidin-1-oxyl viologen introduced with high density, used as the cathode anode active materials, respectively. By stacking nanosheets of polymers an imidazolium-substituted polyether electrolyte, a solid-state cell only 2 μm thick was made. The anion-type rocking-chair showed reversible charge/discharge even at rate 5 C without adding any solvents or...

Abstract In data-intensive science, machine learning plays a critical role in processing big data. However, the potential of has been limited field materials science because difficulty treating complex real-world information as digital language. Here, we propose to use graph-shaped databases with common format describe almost any experimental data digitally, including chemical structures, processes, properties, and natural languages. The graphs can express real world’s little loss. our...

Efficient screening of chemicals is essential for exploring new materials. However, the search space astronomically large, making calculations with conventional computers infeasible. For example, an $N$-component system organic molecules generates >$10^{60N}$ candidates. Here, a quantum-inspired annealing machine used to tackle challenge large space. The prototype extracts candidate and their composites desirable parameters, such as melting temperature ionic conductivity. can be at least...

Abstract Data-driven material exploration is a ground-breaking research style; however, daily experimental results are difficult to record, analyze, and share. We report data platform that losslessly describes the relationships of structures, properties, processes as graphs in electronic laboratory notebooks. As model project, organic superionic glassy conductors were explored by recording over 500 different experiments. Automated analysis revealed essential factors for remarkable room...