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Details for High Impact Journal

Superfund Research Program

ACS Nano (impact factor: 15.881)

2023

  • Ju Y, Neumann O, Bajomo MM, Zhao Y, Nordlander P, Halas N, Patel AB. 2023. Identifying surface-enhanced Raman spectra with a Raman library using machine learning. ACS Nano 17(21):21251-21261. doi:10.1021/acsnano.3c05510 PMID:37910670
  • Sánchez-Alvarado A, Zhou J, Jin P, Neumann O, Senftle TP, Nordlander P, Halas N. 2023. Combined surface-enhanced raman and infrared absorption spectroscopies for streamlined chemical detection of polycyclic aromatic hydrocarbon-derived compounds. ACS Nano 17(24):25697-25706. doi:10.1021/acsnano.3c10746 PMID:38063501

2021

2020

  • Luo S, Lin C, Ku K, Yoshinaga K, Swager TM. 2020. Pentiptycene polymer/single-walled carbon nanotube complexes: applications in benzene, toluene, and o-xylene detection. ACS Nano 14:7297-7307. doi:10.1021/acsnano.0c02570 PMID:32510203 PMCID:PMC7370303
  • Rudel HE, Lane MM, Muhich C, Zimmerman JB. 2020. Toward informed design of nanomaterials: a mechanistic analysis of structure property function relationships for faceted nanoscale metal oxides. ACS Nano 16472-16501. doi:10.1021/acsnano.0c08356

2018

2017

2015

  • Godwin H, Brown SS, Holden PA, Kane AB, Bergeson L, Bernard D, Beryt E, Boyes W, Clippinger A, Cohen Y, Doa M, Hendren C, Houck K, Klaessig F, Kodas T, Landsiedel R, Lynch I, Malloy T, Miller MB, Muller J, Petersen EJ, Pleus RC, Sayre P, Stone V, Sullivan KM, Tentschert J, Wallis P, Nel AE, Oberdorster G, Nameth C, Avery D. 2015. Nanomaterial categorization for assessing risk potential to facilitate regulatory decision-making. ACS Nano 9(4):3409-3417. doi:10.1021/acsnano.5b00941 PMID:25791861

2013

2012

2011

2010

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