Fingerprint The Elsevier Fingerprint Engine mines the text of the experts' scholarly documents – publication abstracts, awards, project summaries, patents, and other sources – to create an index of weighted terms which defines the text, known as a Fingerprint. By aggregating and comparing Fingerprints, the Elsevier Fingerprint Engine enables users to look beyond metadata and expose valuable connections among people, research units, publications, and ideas.

  • Network Recent external collaboration on country level. Dive into details by clicking on the dots.

    Research Output

    100th Anniversary of Macromolecular Science Viewpoint: Opportunities in the Physics of Sequence-Defined Polymers

    Perry, S. L. & Sing, C. E., Jan 1 2020, (Accepted/In press) In : ACS Macro Letters. p. 216-225 10 p.

    Research output: Contribution to journalArticle

  • A genetic toolbox for metabolic engineering of Issatchenkia orientalis

    Cao, M., Fatma, Z., Song, X., Hsieh, P. H., Tran, V. G., Lyon, W. L., Sayadi, M., Shao, Z., Yoshikuni, Y. & Zhao, H., May 2020, In : Metabolic Engineering. 59, p. 87-97 11 p.

    Research output: Contribution to journalArticle

  • Activities

    • 1 Participation in conference

    National Academy of Engineering’s 22nd annual U.S. Frontiers of Engineering (USFOE) symposium

    Brendan A Harley (Participant)
    Sep 2016

    Activity: Attendance typesParticipation in conference

    Honors & Recognition

    Young Investigator Award for Modeling and Simulation

    Andrew Ferguson (Recipient), 2016

    Prize