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Data for: Stereoregular radical polymers enable selective spin transfer - computational studies (Data S1 and S2) and crystal structure of M1

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DataCite Commons2026-01-28 更新2026-04-25 收录
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https://datadryad.org/dataset/doi:10.5061/dryad.44j0zpcr2
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Spintronics offers a promising avenue for surpassing the performance and energy efficiency limits of conventional electronic devices. However, existing spintronic materials, including metals and doped conjugated polymers, face intrinsic stability and performance challenges. To address these limitations, we employed computational methods to investigate the electronic structure, spin transport properties, and crystallographic order of a stereoregular radical polymer. Computational simulations in different stereoregularities were utilized to model spin-spin interactions, charge delocalization, and long-range order within the polymer backbone. Crystallographic data analysis provided insights into the molecular packing of the monomer (M1) and the role of stereochemistry in controlling spin alignment. Our findings highlight how stereoselective polymerization enables persistent radicals in each repeat unit to support long-range spin transport without conventional doping. This computationally guided approach underscores the potential of stereoregular radical polymers as a novel platform for next-generation spintronic devices and quantum information processing. The computational results support the hypothesis that molecular-level alterations in polymer stereochemistry are critical for controlling spin-spin interactions and alignment. An additional file containing the crystal data, pre-reported and uploaded to CCDC (Cambridge Crystallographic Data Centre) is attached - composed by Cole C. Sorensen under the supervision of Frank A. Leibfarth. The original works of Data S1 and S2 were composed by Andrew Marquardt under the supervision of Brett M. Savoie.
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Dryad
创建时间:
2025-03-12
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