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arXiv · 2204.09827

Data-Driven Design of a New Organic Semiconductor via an Electronic Structure Chart

Daniel M. Packwood·Yu Kaneko·Daiji Ikeda·Mitsuru Ohno
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Abstract

Data-driven methodologies for designing new materials are developing apace, yet advances for organic crystals have been infrequent. For organic crystals, the need to predict solid-state electronic properties from molecular structure alone is an exceedingly difficult task for typical, regression-based design strategies. In this paper, we present a new strategy for designing organic crystals which circumvents the need to regress solid-state physical properties directly. At the core of this strategy is an electronic structure chart, a two-dimensional projection of an organic crystal database in which each material is positioned according to its solid-state electronic properties. We illustrate this strategy by identifying a new molecule which is predicted to show a targeted band gap and better-than-average band curvatures in the crystalline state. This strategy is the first data-driven method which can design new molecules on the basis of genuine solid-state electronic properties, and has potential to accelerate breakthroughs in the field of organic electronics and beyond.

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Daniel M. Packwood, Yu Kaneko, Daiji Ikeda, Mitsuru Ohno. 2022-04-21. Data-Driven Design of a New Organic Semiconductor via an Electronic Structure Chart. https://arxiv.org/abs/2204.09827

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