Text-mined dataset of gold nanoparticle synthesis procedures, morphologies, and size entities

Cruse, Kevin; Trewartha, Amalie; Lee, Sanghoon; Wang, Zheren; Huo, Haoyan; He, Tanjin; Kononova, Olga; Jain, Anubhav; Ceder, Gerbrand

doi:10.1038/s41597-022-01321-6

Title: Text-mined dataset of gold nanoparticle synthesis procedures, morphologies, and size entities

Journal Article · 25 May 2022 · Scientific Data

DOI: https://doi.org/10.1038/s41597-022-01321-6 · OSTI ID:1870053

Cruse, Kevin; Trewartha, Amalie; Lee, Sanghoon; Wang, Zheren;

;

; Kononova, Olga;

;

Abstract Gold nanoparticles are highly desired for a range of technological applications due to their tunable properties, which are dictated by the size and shape of the constituent particles. Many heuristic methods for controlling the morphological characteristics of gold nanoparticles are well known. However, the underlying mechanisms controlling their size and shape remain poorly understood, partly due to the immense range of possible combinations of synthesis parameters. Data-driven methods can offer insight to help guide understanding of these underlying mechanisms, so long as sufficient synthesis data are available. To facilitate data mining in this direction, we have constructed and made publicly available a dataset of codified gold nanoparticle synthesis protocols and outcomes extracted directly from the nanoparticle materials science literature using natural language processing and text-mining techniques. This dataset contains 5,154 data records, each representing a single gold nanoparticle synthesis article, filtered from a database of 4,973,165 publications. Each record contains codified synthesis protocols and extracted morphological information from a total of 7,608 experimental and 12,519 characterization paragraphs.

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Research Organization:: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)

Sponsoring Organization:: USDOE; USDOE Office of Science (SC), Basic Energy Sciences (BES). Materials Sciences & Engineering Division

Grant/Contract Number:: AC02-05CH11231

OSTI ID:: 1870053

Journal Information:: Scientific Data, Journal Name: Scientific Data Journal Issue: 1 Vol. 9; ISSN 2052-4463

Publisher:: Nature Publishing GroupCopyright Statement

Country of Publication:: United Kingdom

Language:: English

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Title: Text-mined dataset of gold nanoparticle synthesis procedures, morphologies, and size entities

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