How decision analysis can further nanoinformatics

Matthew E. Bates, Sabrina Larkin, Jeffrey M. Keisler and Igor Linkov
Beilstein J. Nanotechnol. 2015, 6, 1594–1600. https://doi.org/10.3762/bjnano.6.162

Cite the Following Article

How decision analysis can further nanoinformatics
Matthew E. Bates, Sabrina Larkin, Jeffrey M. Keisler and Igor Linkov
Beilstein J. Nanotechnol. 2015, 6, 1594–1600. https://doi.org/10.3762/bjnano.6.162

How to Cite

Bates, M. E.; Larkin, S.; Keisler, J. M.; Linkov, I. Beilstein J. Nanotechnol. 2015, 6, 1594–1600. doi:10.3762/bjnano.6.162

Download Citation

Citation data can be downloaded as file using the "Download" button or used for copy/paste from the text window below.
Citation data in RIS format can be imported by all major citation management software, including EndNote, ProCite, RefWorks, and Zotero.

Citations to This Article

Up to 20 of the most recent references are displayed here.

Scholarly Works

  • Mohanty, R. K.; Tripathy, B. K. Decision-Making in Healthcare Nanoinformatics. Studies in Computational Intelligence; Springer Nature Singapore, 2022; pp 87–103. doi:10.1007/978-981-19-2416-3_6
  • Cegan, J. C.; Golan, M. S. Siting military base camps through an MCDA framework. Journal of Military Studies 2021, 10, 10–21. doi:10.2478/jms-2021-0014
  • Cegan, J. C.; Golan, M. S. Siting military base camps through an MCDA framework. Journal of Military Studies 2021, 0. doi:10.2478/jms-2021-0011
  • Richarz, A.-N. CHAPTER 1 Big Data in Predictive Toxicology: Challenges, Opportunities and Perspectives. Big Data in Predictive Toxicology; The Royal Society of Chemistry, 2019; pp 1–37. doi:10.1039/9781782623656-00001
  • Rycroft, T.; Larkin, S.; Ganin, A. A.; Thomas, T. A.; Matheson, J.; Van Grack, T.; Chen, X.; Plourde, K. J.; Kennedy, A. J.; Linkov, I. A framework and pilot tool for the risk-based prioritization and grouping of nano-enabled consumer products. Environmental Science: Nano 2019, 6, 356–365. doi:10.1039/c8en00848e
  • Afantitis, A.; Melagraki, G.; Tsoumanis, A.; Valsami-Jones, E.; Lynch, I. A nanoinformatics decision support tool for the virtual screening of gold nanoparticle cellular association using protein corona fingerprints. Nanotoxicology 2018, 12, 1148–1165. doi:10.1080/17435390.2018.1504998
  • Kadziński, M.; Cinelli, M.; Ciomek, K.; Coles, S. R.; Nadagouda, M. N.; Varma, R. S.; Kirwan, K. Co-constructive development of a green chemistry-based model for the assessment of nanoparticles synthesis. European journal of operational research 2018, 264, 472–490. doi:10.1016/j.ejor.2016.10.019
  • Cinelli, M.; Coles, S. R.; Nadagouda, M. N.; Błaszczyński, J.; Słowiński, R.; Varma, R. S.; Kirwan, K. Journal of Cleaner Production - Robustness analysis of a green chemistry-based model for the classification of silver nanoparticles synthesis processes. Journal of cleaner production 2017, 162, 938–948. doi:10.1016/j.jclepro.2017.06.113
  • Liu, R.; Cohen, Y. Nanoinformatics for environmental health and biomedicine. Beilstein journal of nanotechnology 2015, 6, 2449–2451. doi:10.3762/bjnano.6.253
Other Beilstein-Institut Open Science Activities