6 citations · 17 across the 11 of their papers we have counts for
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cond-mat.mtrl-sci2022
Comparative evaluation of catalyst materials using a binary choice model
Keiji Sakakibara, Daniel M. Packwood
Advances in algorithms and hardware have enabled computers to design new materials atom-by-atom. However, in order for these computer-generated materials to truly address problems…
cond-mat.mtrl-sci2022
Data-Driven Design of a New Organic Semiconductor via an Electronic Structure Chart
Daniel M. Packwood, Yu Kaneko, Daiji Ikeda +1
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-…
cond-mat.mtrl-sci2022
Magnetic on-surface assemblies predicted from a pious computational method
Daniel M. Packwood
Molecular self-assembly will not become a routine method for building nanomaterials unless our ability to predict the outcome of this process is dramatically improved. Even then, r…