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Title: Data-driven analysis of text-mined seed-mediated syntheses of gold nanoparticles

Journal Article · · Digital Discovery
DOI: https://doi.org/10.1039/D4DD00158C · OSTI ID:2480605
ORCiD logo [1]; ORCiD logo [2];  [3];  [4]; ORCiD logo [2];  [5]
  1. Energy Technologies Area, Lawrence Berkeley National Laboratory, Berkeley, CA, USA, Department of Materials Science and Engineering, University of California, Berkeley, CA, USA
  2. Department of Materials Science and Engineering, University of California, Berkeley, CA, USA, Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
  3. Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA, Department of Chemistry, University of California, Berkeley, CA, USA
  4. Department of Materials Science and Engineering, University of California, Berkeley, CA, USA, Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA, Department of Chemistry, University of California, Berkeley, CA, USA, Kavli Energy NanoScience Institute, University of California Berkeley, CA, USA
  5. Energy Technologies Area, Lawrence Berkeley National Laboratory, Berkeley, CA, USA

Gold nanoparticle synthesis recipes were extracted from the literature to obtain data-driven hypotheses for synthesis outcome morphology and size. Used images from https://Flaticon.com.

Sponsoring Organization:
USDOE
Grant/Contract Number:
AC02-05CH11231
OSTI ID:
2480605
Journal Information:
Digital Discovery, Journal Name: Digital Discovery Journal Issue: 1 Vol. 4; ISSN DDIIAI; ISSN 2635-098X
Publisher:
Royal Society of Chemistry (RSC)Copyright Statement
Country of Publication:
United Kingdom
Language:
English

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