Abstract
Redox-active polymers serving as the active materials in solid-state electrodes offer a promising path towards realizing all-organic batteries. While both cathodic and an- odic redox-active polymers are needed, the diversity of the available anodic materials is limited. Here, we predict solid-state structural, ionic, and electronic properties of anodic, phthalimide-containing polymers using a multiscale approach that combines atomistic molecular dynamics, electronic structure calculations, and machine learning surrogate models. Importantly, by combining information from each of these scales, we are able to bridge the gap between bottom-up molecular characteristics and macro- scopic properties such as apparent diffusion coefficients of electron transport ($D_{app}$). We investigate the impact of different polymer backbones and of two critical factors during battery operation: state of charge and polymer swelling. Our findings reveal that the state of charge significantly influences solid-state packing and the thermophys- ical properties of the polymers, which, in turn, affect ionic and electronic transport. A combination of molecular-level properties (such as the reorganization energy) and condensed-phase properties (such as effective electron hopping distances) determine the predicted ranking of electron transport capabilities of the polymers. We predict Dapp for the phthalimide-based polymers and for a reference nitroxide radical-based polymer, finding a three orders of magnitude increase in $D_{app}$ ($\approx 10^{−6}$ cm$^2$ s$^{−1}$) with respect to the reference. This study underscores the promise of phthalimide-containing polymers as highly capable redox-active polymers for anodic materials in all-organic batteries, due to their exceptional predicted electron transport capabilities.
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Supporting Information
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The Supporting Information file includes: $T_g$ calculation details and additional $T_g$ results; number of molecules contained in each system; schematic of the atomistic molecular dynamics protocol; additional RDFs and configurational maps; intramolecular \textit{vs.} intramolecular pair breakdown; electronic coupling correlations (overlap \textit{vs.} electronic couplings and DFT overlaps \textit{vs.} neural network-predicted overlaps); additional electronic percolation results;
phthalimide interdistance \textit{vs.} overlap heatmaps;
reorganization energies; and additional $D_{app}$ results.
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GitHub Repo
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This GitHub repository includes: force fields, analysis code, and data associated with this work.
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